Aspect-Level Sentiment with Metadata Fusion: Explanations
Highlights show the strongest text evidence for each aspect. green = Positive, red = Negative, grey = Not_Mentioned. Metadata rows show which source the model attends to for each aspect.
Example 1
Rating: 1 | Category: Strands
Bad quality control I ordered despite all the bad reviews. Well that didn’t work as it was just pack in a baggie as like most of the reviews state. Then the blue and white flowers with charms were all attached backwards. I am in the process of returning it. I will not be asking for an exchange as I do not wish to keep returning this item until I get a good one. So very sad as this could have been a beautiful necklace. Plus with as expensive as this is you would think it would have better packaging. I have bought for much cheaper with nice packaging. Unfortunately I will not be buying any more of this brand as it had put a bad taste in my mouth. Do better!
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: badgoodbeautifulnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "bad", "good", "beautiful", "nice", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: badgoodbeautifulnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "bad", "good", "beautiful", "nice", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: qualitybadgoodbeautifulnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "quality", "bad", "good", "beautiful", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: beautifulbadgoodnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "beautiful", "bad", "good", "nice", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: badgoodbeautifulnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: STYLE is predicted as Negative. The main text evidence is "bad", "good", "beautiful", "nice", and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: expensivebadgoodbeautifulnice
bad quality control i ordered despite all the bad reviews . well that didn ’ t work as it was just pack in a baggie as like most of the reviews state . then the blue and white flowers with charms were all attached backwards . i am in the process of returning it . i will not be asking for an exchange as i do not wish to keep returning this item until i get a good one . so very sad as this could have been a beautiful necklace . plus with as expensive as this is you would think it would have better packaging . i have bought for much cheaper with nice packaging . unfortunately i will not be buying any more of this brand as it had put a bad taste in my mouth . do better !
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Negative. The main text evidence is "expensive", "bad", "good", "beautiful", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 2
Rating: 1 | Category: Rash Guard Shirts
Very small for size and returned Too tight for size and Iborderwd extra large.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: smalltightlargesizereturned
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "small", "tight", "large", "size", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: smalltightreturnedlarge
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "small", "tight", "returned", "large", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: smalltightreturnedlarge
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "small", "tight", "returned", "large", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: smalltightreturnedlarge
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "small", "tight", "returned", "large", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: smalltightreturnedlarge
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "small", "tight", "returned", "large", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: smalltightreturnedlarge
very small for size and returned too tight for size and iborderwd extra large .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "small", "tight", "returned", "large", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 3
Rating: 1 | Category: Sunglasses
No reading lenses. I searched for sunglasses w reading lenses. It doesn’t have that. They’re just plain sunglasses.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Negative
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: QUALITY is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Negative
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Negative
no reading lenses . i searched for sunglasses w reading lenses . it doesn ’ t have that . they ’ re just plain sunglasses .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 4
Rating: 1 | Category: Summer Essentials
It's NOT leather. I don't care what anyone says, this purse is not leather. Funny how now it's not available online anymore. But "my bad" really. I fell for a "real leather purse for $23 from Amazon". Not even Goodwill sells a used leather purse for $23. The "smell" earlier reviewers talked about was a fake smell that slowly morphed into "real vinyl" smell. Kind of like the new car spray used auto dealers spray in a used car. Bad for Amazon that it was so misrepresented. I will say it's well made but it won't hold up so I'm not falling in love with it.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: badlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "bad", "love", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: leatherbadlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "leather", "bad", "love", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: badlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "bad", "love", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: badlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "bad", "love", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: badlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "bad", "love", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: badlove
it ' s not leather . i don ' t care what anyone says , this purse is not leather . funny how now it ' s not available online anymore . but " my bad " really . i fell for a " real leather purse for $ 23 from amazon " . not even goodwill sells a used leather purse for $ 23 . the " smell " earlier reviewers talked about was a fake smell that slowly morphed into " real vinyl " smell . kind of like the new car spray used auto dealers spray in a used car . bad for amazon that it was so misrepresented . i will say it ' s well made but it won ' t hold up so i ' m not falling in love with it .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "bad", "love", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 5
Rating: 1 | Category: Stud
Flimsy earrings I bought this pair after the first pair came bent... this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke... so for the price I feel they are extremely flimsy. Unfortunately my daughter didn't realize how much I spent so she threw them away and I couldn't ask for a refund... will not buy again.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: broke
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "broke", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: price
flimsy earrings i bought this pair after the first pair came bent . . . this time they looked fine but when my daughter took them out to put on her daughter these too bent and broke . . . so for the price i feel they are extremely flimsy . unfortunately my daughter didn ' t realize how much i spent so she threw them away and i couldn ' t ask for a refund . . . will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Negative. The main text evidence is "price", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 6
Rating: 1 | Category: Clip-Ons
Not worth the money. To heavy. Hurt my ear!
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: worth
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: worth
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: worth
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
APPEARANCE: Negative
Top text evidence: worth
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: APPEARANCE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: worth
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: worthmoney
not worth the money . to heavy . hurt my ear !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Negative. The main text evidence is "worth", "money", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 7
Rating: 1 | Category: Socks
Not worth your time! The reviews I read said these were thick and warm. I used to ice climb when I was a younger man, and these are neither thick nor warm. I wasted my money on these. Nothing ventured, nothing gained.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: worth
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: thickworth
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "thick", "worth", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: worth
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
APPEARANCE: Negative
Top text evidence: worth
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: worth
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "worth", and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: worthmoney
not worth your time ! the reviews i read said these were thick and warm . i used to ice climb when i was a younger man , and these are neither thick nor warm . i wasted my money on these . nothing ventured , nothing gained .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Negative. The main text evidence is "worth", "money", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 8
Rating: 1 | Category: Shoe Cleaners
Didn’t work Such a waste of money. This didn’t work at all.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Negative
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: QUALITY is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Negative
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: APPEARANCE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Negative
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: STYLE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: money
didn ’ t work such a waste of money . this didn ’ t work at all .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Negative. The main text evidence is "money", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 9
Rating: 1 | Category: Dress
Heel separated from show after less than 10 uses. Not worth it. These would have been fine shoes, but then the heel completed separated from the shoe after wearing them maybe 10 times. Poor quality; would not recommend at all.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: worthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: worthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: qualityworthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "quality", "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: worthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: worthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: worthrecommendpoor
heel separated from show after less than 10 uses . not worth it . these would have been fine shoes , but then the heel completed separated from the shoe after wearing them maybe 10 times . poor quality ; would not recommend at all .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Negative. The main text evidence is "worth", "recommend", "poor", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 10
Rating: 1 | Category: Jumpsuits
Fulfilling 1912 swimsuit needs Very thin knit fabric that might look great on a tall person, but is an abomination on the short. It looked like I was wearing a sad, baggy men’s swimsuit from 1912. The cut seems ideal for people who are straight up and down; the waist comes in at an odd spot, and when it crosses over your boobs it seems to push them further east and west. Did I saw a 1912 swimsuit? Also a swinger from the 70s trying too hard with a low cut disco dress. In other words, all bad. This went right back.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: waistthingreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "waist", "thin", "great", "bad", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: thinfabricgreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "thin", "fabric", "great", "bad", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: thingreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "thin", "great", "bad", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: lookthingreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "look", "thin", "great", "bad", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: dressthingreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Negative. The main text evidence is "dress", "thin", "great", "bad", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: thingreatbad
fulfilling 1912 swimsuit needs very thin knit fabric that might look great on a tall person , but is an abomination on the short . it looked like i was wearing a sad , baggy men ’ s swimsuit from 1912 . the cut seems ideal for people who are straight up and down ; the waist comes in at an odd spot , and when it crosses over your boobs it seems to push them further east and west . did i saw a 1912 swimsuit ? also a swinger from the 70s trying too hard with a low cut disco dress . in other words , all bad . this went right back .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "thin", "great", "bad", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 11
Rating: 2 | Category: Identification
Not great Not comfortable to wear. The information portion of the bracelet has very sharp edges. Adjusting the length requires a tool. You can't push down the locking part by hand. So broken clasp after long wait. They did issue a refund without requiring me to return the item
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: lengthgreatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "length", "great", "comfortable", "return", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: greatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "great", "comfortable", "return", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: greatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "great", "comfortable", "return", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: greatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "great", "comfortable", "return", and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
Top text evidence: greatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "great", "comfortable", "return", and the strongest metadata source is "features" (0.750).
VALUE: Negative
Top text evidence: greatcomfortablereturn
not great not comfortable to wear . the information portion of the bracelet has very sharp edges . adjusting the length requires a tool . you can ' t push down the locking part by hand . so broken clasp after long wait . they did issue a refund without requiring me to return the item
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Negative. The main text evidence is "great", "comfortable", "return", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 12
Rating: 2 | Category: Wallets
Two Stars loved it until the pin fell out after having it only a month
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.750 focus: 0.487 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.750).
VALUE: Not_Mentioned
Top text evidence: loved
two stars loved it until the pin fell out after having it only a month
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "loved", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 13
Rating: 2 | Category: Everyday Bras
Ok Just gets lint balls in between layers
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.678 focus: 0.273 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.678).
STYLE: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
ok just gets lint balls in between layers
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.68
categories 0.25
numeric 0.07
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 14
Rating: 2 | Category: Tunics
Pretty fabric, but poor fitting. I’m normally a 2X, so I thought I’d order a 3X just in case. It was skin tight, & actually restricted my back & shoulders! I’m 6 ft, 260 lbs, with broad shoulders & long arms. So now I’m ordering a 4X, & I’m not even sure that will be big enough. I shouldn’t have to order at least 2 sizes up, because foreign vendors don’t know how to properly size women’s clothes sold in the USA.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: tightfittingbigsizepoor
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "tight", "fitting", "big", "size", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: fabricpoortight
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "fabric", "poor", "tight", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: poortight
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "poor", "tight", and the strongest metadata source is "features" (0.500).
APPEARANCE: Negative
Top text evidence: poortight
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Negative. The main text evidence is "poor", "tight", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: poortight
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "poor", "tight", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: poortight
pretty fabric , but poor fitting . i ’ m normally a 2x , so i thought i ’ d order a 3x just in case . it was skin tight , & actually restricted my back & shoulders ! i ’ m 6 ft , 260 lbs , with broad shoulders & long arms . so now i ’ m ordering a 4x , & i ’ m not even sure that will be big enough . i shouldn ’ t have to order at least 2 sizes up , because foreign vendors don ’ t know how to properly size women ’ s clothes sold in the usa .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "poor", "tight", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 15
Rating: 2 | Category: Dress Shirts
Decent shirt but not worth full price. Every now and then they go on sale, and I bought several of them. The fit was good, though there were 2 main complaints. The shirts are a bit thin(see through) and that the collars for a few if them started to fray a few months after purchasing them.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: fitworthgoodthin
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "fit", "worth", "good", "thin", and the strongest metadata source is "features" (0.750).
MATERIAL: Negative
Top text evidence: thinworthgood
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "thin", "worth", "good", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: worthgoodthin
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "worth", "good", "thin", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: worthgoodthin
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "worth", "good", "thin", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: shirtworthgoodthin
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "shirt", "worth", "good", "thin", and the strongest metadata source is "features" (0.500).
VALUE: Negative
Top text evidence: worthpricegoodthin
decent shirt but not worth full price . every now and then they go on sale , and i bought several of them . the fit was good , though there were 2 main complaints . the shirts are a bit thin ( see through ) and that the collars for a few if them started to fray a few months after purchasing them .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Negative. The main text evidence is "worth", "price", "good", "thin", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 16
Rating: 2 | Category: Sneakers
J No llegaron los azules estoy tratando dejar un mensaje por otra vía y no veo la manera y no me devolvieron mi dinero
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
j no llegaron los azules estoy tratando dejar un mensaje por otra via y no veo la manera y no me devolvieron mi dinero
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 17
Rating: 2 | Category: Flats
Rigid / scrapes uncomfortably on my foot by Day 2 This shoe is killing my feet. I’m only on day 2 of wearing it. With flats I usually go no socks and don’t have issues. I got these. Tried them on, had no issues wearing them walking around my house, figured I was good to go for a typical work day. My pinky toe on both feet is being rubbed raw, that was a yesterday and today problem (yesterday it was really just the one side). Figured it would get better wearing it on day 2, especially since only one side hurt. Nope. Both pinky toes hurt today. Also, today anytime I walk the back of the shoe rubs at the heel. For where it’s scraping my heel the no show socks wouldn’t help. These are rigidly structured which will probably be good for long term use, but hard on my feet.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: good
rigid / scrapes uncomfortably on my foot by day 2 this shoe is killing my feet . i ’ m only on day 2 of wearing it . with flats i usually go no socks and don ’ t have issues . i got these . tried them on , had no issues wearing them walking around my house , figured i was good to go for a typical work day . my pinky toe on both feet is being rubbed raw , that was a yesterday and today problem ( yesterday it was really just the one side ) . figured it would get better wearing it on day 2 , especially since only one side hurt . nope . both pinky toes hurt today . also , today anytime i walk the back of the shoe rubs at the heel . for where it ’ s scraping my heel the no show socks wouldn ’ t help . these are rigidly structured which will probably be good for long term use , but hard on my feet .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 18
Rating: 2 | Category: Casual
It’s pretty just too long for petite ppl Even petite even too long. Too much $$ to tailor
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.523 focus: 0.070 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.523).
VALUE: Not_Mentioned
it ’ s pretty just too long for petite ppl even petite even too long . too much $ $ to tailor
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.52
categories 0.25
numeric 0.23
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 19
Rating: 2 | Category: Overalls
Are you looking for baggy overalls?? The overalls seemed well made. The fabric wasn't cheap or stretchy. The design was a little more screened back than expected but still visable. I sent these back because these aren't the look I expected. My measurements fit within the size I got but these were in no way baggy. That was disappointing. That model must be an XS but wearing a 3XL in order for those to look baggy on her. There is no way a plus sized woman will have that model's same level of bagginess if buying these overalls. In the end, if you're skinny and want these baggy, size up. If you're plus sized and want near fitting overalls with short legs, buy these. If you're plus sized and want the baggy look, keep looking.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: fitsizefittingcheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "fit", "size", "fitting", "cheap", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: fabricstretchycheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "fabric", "stretchy", "cheap", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: cheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "cheap", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: designlookcheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "design", "look", "cheap", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: cheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "cheap", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: cheap
are you looking for baggy overalls ? ? the overalls seemed well made . the fabric wasn ' t cheap or stretchy . the design was a little more screened back than expected but still visable . i sent these back because these aren ' t the look i expected . my measurements fit within the size i got but these were in no way baggy . that was disappointing . that model must be an xs but wearing a 3xl in order for those to look baggy on her . there is no way a plus sized woman will have that model ' s same level of bagginess if buying these overalls . in the end , if you ' re skinny and want these baggy , size up . if you ' re plus sized and want near fitting overalls with short legs , buy these . if you ' re plus sized and want the baggy look , keep looking .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "cheap", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 20
Rating: 2 | Category: T-Shirts
Cute But Not Ideal This shirt suffers from a few problems – At first, the design is adorable. Absolutely adorable. The style is perfect! I love baseball tees. And, I LOVE the generous sizing. Being a “bigger” girl, it is a blessing to have something that fits and is cute! The material is more polyester than cotton which the seller/manufacturer doesn’t disclose the exact content distribution. I honestly dislike that practice as people need and want to know what they’re buying. It’s a bit dishonest. The material also has a second problem – the “thin” factor. This is a pretty sheer top. Not even suitable for a pajama top let alone going outside. It is too thin to wear in winter (even fall), and yet in spring and summer our temps can reach 105°(F) or higher – definitely not an ideal shirt for that weather. Another issue I had – the shirt I received was definitely “used”. It came in a standard “Amazon” bag; the type with green lettering for some items to keep them clean. It was “wadded”, not folded; smelled of a detergent; and the car tag was severely faded, likely from washing. In any other case, this would be a cute shirt I’d get an extra of. But, I definitely wouldn’t get it again and I wouldn’t get it as a gift for someone.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: fitsthinperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "fits", "thin", "perfect", "love", and the strongest metadata source is "features" (0.750).
MATERIAL: Negative
Top text evidence: thinmaterialcottonperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "thin", "material", "cotton", "perfect", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: thinperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "thin", "perfect", "love", and the strongest metadata source is "features" (0.750).
APPEARANCE: Negative
Top text evidence: cutedesignthinperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Negative. The main text evidence is "cute", "design", "thin", "perfect", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: shirtstylethinperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Negative. The main text evidence is "shirt", "style", "thin", "perfect", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: thinperfectlove
cute but not ideal this shirt suffers from a few problems – at first , the design is adorable . absolutely adorable . the style is perfect ! i love baseball tees . and , i love the generous sizing . being a “ bigger ” girl , it is a blessing to have something that fits and is cute ! the material is more polyester than cotton which the seller / manufacturer doesn ’ t disclose the exact content distribution . i honestly dislike that practice as people need and want to know what they ’ re buying . it ’ s a bit dishonest . the material also has a second problem – the “ thin ” factor . this is a pretty sheer top . not even suitable for a pajama top let alone going outside . it is too thin to wear in winter ( even fall ) , and yet in spring and summer our temps can reach 105° ( f ) or higher – definitely not an ideal shirt for that weather . another issue i had – the shirt i received was definitely “ used ” . it came in a standard “ amazon ” bag ; the type with green lettering for some items to keep them clean . it was “ wadded ” , not folded ; smelled of a detergent ; and the car tag was severely faded , likely from washing . in
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "thin", "perfect", "love", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 21
Rating: 3 | Category: Cocktail
Okay Not the best quality, pretty skimpy
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
okay not the best quality , pretty skimpy
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
okay not the best quality , pretty skimpy
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: quality
okay not the best quality , pretty skimpy
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "quality", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
okay not the best quality , pretty skimpy
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
okay not the best quality , pretty skimpy
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
VALUE: Not_Mentioned
okay not the best quality , pretty skimpy
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 22
Rating: 3 | Category: Aprons
Okay don't have very much to say about this on ipad version, other than its okay
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
QUALITY: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
VALUE: Not_Mentioned
okay don ' t have very much to say about this on ipad version , other than its okay
Top metadata source: features 0.749 focus: 0.484 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.749).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.75
categories 0.25
numeric 0.00
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.75
categories 0.25
numeric 0.00
Example 23
Rating: 3 | Category: Casual
Sizing didn’t suit me. A little tighter than expected. But medium was a little too loose. Returned. Emphasized my belly and post baby pooch.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: loosemediumreturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "loose", "medium", "returned", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: loosereturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "loose", "returned", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: loosereturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "loose", "returned", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: loosereturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "loose", "returned", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: loosereturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "loose", "returned", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: loosereturned
sizing didn ’ t suit me . a little tighter than expected . but medium was a little too loose . returned . emphasized my belly and post baby pooch .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "loose", "returned", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 24
Rating: 3 | Category: Kids' Backpacks
school bag smaller than i thought but good quality
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: good
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: good
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: qualitygood
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "quality", "good", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: good
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: good
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: good
school bag smaller than i thought but good quality
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "good", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 25
Rating: 3 | Category: T-Shirts
just eehhhh It's a 2nd, neckline is off as well as side seams. I did work for my tye dye project but will not buy again.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: seams
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "seams", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
STYLE: Negative
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
just eehhhh it ' s a 2nd , neckline is off as well as side seams . i did work for my tye dye project but will not buy again .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 26
Rating: 3 | Category: Bibs
HUGE!! Ordered the XL Chunky and it was HUGE! My daughter swam in it. She wears 14-16/XL. I ordered this size to get an extra year of wear. This fit me and I wear size 6-8 in women’s. Way too long!! Had to return and got a different brand.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: xlsizefitreturn
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "xl", "size", "fit", "return", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: return
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "return", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: return
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "return", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: return
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "return", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: return
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "return", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: return
huge ! ! ordered the xl chunky and it was huge ! my daughter swam in it . she wears 14 - 16 / xl . i ordered this size to get an extra year of wear . this fit me and i wear size 6 - 8 in women ’ s . way too long ! ! had to return and got a different brand .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "return", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 27
Rating: 3 | Category: Tops
shrunk to medium at best. Heavyweight compared to tissue paper I bought a large, shrunk to medium at best. Heavyweight compared to tissue paper, no thicker than cheap Hanes or Fruit of the Loom
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: largemediumcheap
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "large", "medium", "cheap", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: largecheap
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "large", "cheap", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: cheaplarge
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: QUALITY is predicted as Negative. The main text evidence is "cheap", "large", and the strongest metadata source is "features" (0.500).
APPEARANCE: Negative
Top text evidence: largecheap
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: APPEARANCE is predicted as Negative. The main text evidence is "large", "cheap", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: largecheap
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "large", "cheap", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: cheaplarge
shrunk to medium at best . heavyweight compared to tissue paper i bought a large , shrunk to medium at best . heavyweight compared to tissue paper , no thicker than cheap hanes or fruit of the loom
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "cheap", "large", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 28
Rating: 3 | Category: Jumpsuits
Very flowy but seams are weak This is my go to outfit when its 100F. It looks nice, mature but a touch sexy because the top allows for your bums profile to show. You are fully covered but not frumpy. I am not happy because it's 3rd time wearing it (washed 2x) and a seam has frayed on the inner leg. I think $40 is expensive for quality of sewing. Material is nice.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: nice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: materialnice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: MATERIAL is predicted as Positive. The main text evidence is "material", "nice", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: seamswashedseamqualitynice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "seams", "washed", "seam", "quality", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: looksnice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "looks", "nice", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: nice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: expensivenice
very flowy but seams are weak this is my go to outfit when its 100f . it looks nice , mature but a touch sexy because the top allows for your bums profile to show . you are fully covered but not frumpy . i am not happy because it ' s 3rd time wearing it ( washed 2x ) and a seam has frayed on the inner leg . i think $ 40 is expensive for quality of sewing . material is nice .
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "expensive", "nice", and the strongest metadata source is "features" (0.750).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.75
categories 0.25
numeric 0.00
Example 29
Rating: 3 | Category: Walking
NB Walking Shoe Supposed to be extra wide. They're not! Seem to be on the very narrow width. Bummer. Will give away.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
nb walking shoe supposed to be extra wide . they ' re not ! seem to be on the very narrow width . bummer . will give away .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.50
categories 0.25
numeric 0.25
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 30
Rating: 3 | Category: Tunnels
Large flares They're okay. I put 3/5 stars because the flares are large and hang over my earlobes, and there are some tunnels that don't look like they were cut very well. Overall I think they're fine if you don't plan on using them for very long like myself, just wanted these to wear till I can go to my next size. Lots of color options so that's a plus.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: largesize
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "large", "size", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: large
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.502 focus: 0.055 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "large", and the strongest metadata source is "features" (0.502).
QUALITY: Not_Mentioned
Top text evidence: large
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "large", and the strongest metadata source is "features" (0.750).
APPEARANCE: Positive
Top text evidence: lookcolorlarge
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "look", "color", "large", and the strongest metadata source is "features" (0.750).
STYLE: Negative
Top text evidence: large
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.585 focus: 0.382 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "large", and the strongest metadata source is "features" (0.585).
VALUE: Not_Mentioned
Top text evidence: large
large flares they ' re okay . i put 3 / 5 stars because the flares are large and hang over my earlobes , and there are some tunnels that don ' t look like they were cut very well . overall i think they ' re fine if you don ' t plan on using them for very long like myself , just wanted these to wear till i can go to my next size . lots of color options so that ' s a plus .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "large", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.59
categories 0.41
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 31
Rating: 4 | Category: Shoe Horns & Boot Jacks
At the current price point, this is a decent shoe horn I was originally going to rate this 3 stars. However, for the current price of $7.99, I think this is a decent shoe horn. It is metal with a silicone covering on the upper part. It is also perfect for young children or adults who do not mind bending down to use a shoe horn. It is certainly better than plastic. This is packaged with a big cheap cinch-tie bag. I have no idea why this is included as probably 30 of these shoe horns could fit in that bag. This horn has the potential to bend because it is not super sturdy. I have a similar one with a wooden handle and that one is all bent just from use. My recommendation if you want a great shoe horn that is sturdier and can be used standing up, is to get this [[ASIN:B01M154SED 21" heavy duty one]] for the current price of $20.99 plus 5% off. I own one of these and had I purchased that one first, I would have never ordered any other. Do note, however, that it is very large and comes up to one's knees but it is fantastic. In summary, this one is decent and functional at the low price point but for something more sturdy and that will last longer, look into the other one I recommended.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: largebigfitperfectcheapgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "large", "big", "fit", "perfect", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: largeperfectcheapgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: MATERIAL is predicted as Negative. The main text evidence is "large", "perfect", "cheap", "great", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: cheaplargeperfectgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Positive. The main text evidence is "cheap", "large", "perfect", "great", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: largeperfectcheapgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "large", "perfect", "cheap", "great", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: largeperfectcheapgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "large", "perfect", "cheap", "great", and the strongest metadata source is "features" (0.500).
VALUE: Positive
Top text evidence: cheappricelargeperfectgreat
at the current price point , this is a decent shoe horn i was originally going to rate this 3 stars . however , for the current price of $ 7 . 99 , i think this is a decent shoe horn . it is metal with a silicone covering on the upper part . it is also perfect for young children or adults who do not mind bending down to use a shoe horn . it is certainly better than plastic . this is packaged with a big cheap cinch - tie bag . i have no idea why this is included as probably 30 of these shoe horns could fit in that bag . this horn has the potential to bend because it is not super sturdy . i have a similar one with a wooden handle and that one is all bent just from use . my recommendation if you want a great shoe horn that is sturdier and can be used standing up , is to get this [ [ asin : b01m154sed 21 " heavy duty one ] ] for the current price of $ 20 . 99 plus 5 % off . i own one of these and had i purchased that one first , i would have never ordered any other . do note , however , that it is very large and comes up to one ' s knees but it is fantastic . in summary
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: VALUE is predicted as Positive. The main text evidence is "cheap", "price", "large", "perfect", and the strongest metadata source is "features" (0.750).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.75
categories 0.25
numeric 0.00
Example 32
Rating: 4 | Category: T-Shirts
Good Base Layer This is a comfortable shirt. Ideal as a base layer it is made of soft, stretchy material. It is not too tight. It conforms to the body and keeps you warm and dry. Great for cold weather.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: tightgoodcomfortablesoftgreat
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "tight", "good", "comfortable", "soft", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: softstretchymaterialtightgoodcomfortable
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "soft", "stretchy", "material", "tight", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: tightgoodcomfortablesoftgreat
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "tight", "good", "comfortable", "soft", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: tightgoodcomfortablesoftgreat
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "tight", "good", "comfortable", "soft", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: shirttightgoodcomfortablesoftgreat
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "shirt", "tight", "good", "comfortable", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: tightgoodcomfortablesoftgreat
good base layer this is a comfortable shirt . ideal as a base layer it is made of soft , stretchy material . it is not too tight . it conforms to the body and keeps you warm and dry . great for cold weather .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "tight", "good", "comfortable", "soft", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 33
Rating: 4 | Category: Leggings
nice leggings, not as durable as LLR I like these leggings. They are as soft as Lularoe, and very comfortable. They are definitely thinner than LLR, and they started to fall apart faster (no holes, just loose threads). Four stars for being a good alternative for much cheaper!
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: loosecomfortablenicesoftgood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Positive. The main text evidence is "loose", "comfortable", "nice", "soft", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: softcomfortableniceloosegood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "soft", "comfortable", "nice", "loose", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: durablecomfortablenicesoftloosegood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "durable", "comfortable", "nice", "soft", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: comfortablenicesoftloosegood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "comfortable", "nice", "soft", "loose", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: comfortablenicesoftloosegood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "comfortable", "nice", "soft", "loose", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: comfortablenicesoftloosegood
nice leggings , not as durable as llr i like these leggings . they are as soft as lularoe , and very comfortable . they are definitely thinner than llr , and they started to fall apart faster ( no holes , just loose threads ) . four stars for being a good alternative for much cheaper !
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "comfortable", "nice", "soft", "loose", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 34
Rating: 4 | Category: Balaclavas
Good neck gaiter for the price Thin, breathable, and comfortable. Loses one star because after the 2nd trip through the wash half of them are un-stitching themselves. I like these, and at this price I may get them again when they fall apart. Oh, colors are good, they've been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: goodthincomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "good", "thin", "comfortable", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: thingoodcomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "thin", "good", "comfortable", and the strongest metadata source is "features" (0.500).
QUALITY: Negative
Top text evidence: washstitchingwashedgoodthincomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Negative. The main text evidence is "wash", "stitching", "washed", "good", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: goodthincomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "good", "thin", "comfortable", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: goodthincomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "good", "thin", "comfortable", and the strongest metadata source is "features" (0.500).
VALUE: Positive
Top text evidence: pricegoodthincomfortable
good neck gaiter for the price thin , breathable , and comfortable . loses one star because after the 2nd trip through the wash half of them are un - stitching themselves . i like these , and at this price i may get them again when they fall apart . oh , colors are good , they ' ve been washed a few times in hot water with detergent and oxyclean and the colors are as bright as new
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: VALUE is predicted as Positive. The main text evidence is "price", "good", "thin", "comfortable", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 35
Rating: 4 | Category: T-Shirts
Don't Get Large-Tall If You Are Really Medium-Tall Sized This shirt is good for someone who is at least 6'5" tall and filled out. On a 6'4" frame that's thin the shirt is both baggy and too long. We ended up giving up on Amazon because there's no medium-tall T-shirts available so we bought from Old Navy instead, which sells medium-tall T-shirts. Those are working out great.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: largemediumgoodthingreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "large", "medium", "good", "thin", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: thinlargegoodgreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "thin", "large", "good", "great", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: largegoodthingreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "large", "good", "thin", "great", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: largegoodthingreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "large", "good", "thin", "great", and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
Top text evidence: shirtlargegoodthingreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "shirt", "large", "good", "thin", and the strongest metadata source is "features" (0.750).
VALUE: Not_Mentioned
Top text evidence: largegoodthingreat
don ' t get large - tall if you are really medium - tall sized this shirt is good for someone who is at least 6 ' 5 " tall and filled out . on a 6 ' 4 " frame that ' s thin the shirt is both baggy and too long . we ended up giving up on amazon because there ' s no medium - tall t - shirts available so we bought from old navy instead , which sells medium - tall t - shirts . those are working out great .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "large", "good", "thin", "great", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 36
Rating: 4 | Category: Work
Lots of compliments The fit is perfect. It’s very comfortable. However the belt is too small to go with the size dress I ordered. I wonder if they just made one size belt for all the dresses! However, I decided I liked it better without the belt. Wore it out to dinner. My husband kept telling me how great I looked. It’s a keeper.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: smallfitsizecomfortableperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "small", "fit", "size", "comfortable", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: comfortablesmallperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "comfortable", "small", "perfect", "great", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: comfortablesmallperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "comfortable", "small", "perfect", "great", and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: comfortablesmallperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "comfortable", "small", "perfect", "great", and the strongest metadata source is "features" (0.750).
STYLE: Positive
Top text evidence: dresscomfortablesmallperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: STYLE is predicted as Positive. The main text evidence is "dress", "comfortable", "small", "perfect", and the strongest metadata source is "features" (0.750).
VALUE: Not_Mentioned
Top text evidence: comfortablesmallperfectgreat
lots of compliments the fit is perfect . it ’ s very comfortable . however the belt is too small to go with the size dress i ordered . i wonder if they just made one size belt for all the dresses ! however , i decided i liked it better without the belt . wore it out to dinner . my husband kept telling me how great i looked . it ’ s a keeper .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "comfortable", "small", "perfect", "great", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.75
categories 0.25
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 37
Rating: 4 | Category: Slides
Disney hereI come Not really white white. More a vanilla color. The tab closures do not lay flat against the foot. However, even with these minor distractions, the comfort is amazing right out of the box. I have neuropathy in my feet so comfort is a must.I have been a loyal Clark's girl but am now a convert. Two pairs of Vionics and I am ready for Disney World.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: SIZE is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
MATERIAL: Positive
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: MATERIAL is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Positive
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.750 focus: 0.488 quality: weak
Explanation: QUALITY is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.750).
APPEARANCE: Not_Mentioned
Top text evidence: color
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "color", and the strongest metadata source is "features" (0.500).
STYLE: Positive
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: STYLE is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
disney herei come not really white white . more a vanilla color . the tab closures do not lay flat against the foot . however , even with these minor distractions , the comfort is amazing right out of the box . i have neuropathy in my feet so comfort is a must . i have been a loyal clark ' s girl but am now a convert . two pairs of vionics and i am ready for disney world .
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.75
categories 0.25
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 38
Rating: 4 | Category: Sweatpants
nice looking leggings These leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up. Otherwise, they are comfortable and look nice. The waist is high and has a wide band. The logo is large but not terribly obtrusive.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: tightlargewaistnicecomfortable
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: SIZE is predicted as Positive. The main text evidence is "tight", "large", "waist", "nice", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: tightnicecomfortablelarge
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "tight", "nice", "comfortable", "large", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: tightnicecomfortablelarge
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "tight", "nice", "comfortable", "large", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: looktightnicecomfortablelarge
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "look", "tight", "nice", "comfortable", and the strongest metadata source is "features" (0.750).
STYLE: Not_Mentioned
Top text evidence: tightnicecomfortablelarge
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "tight", "nice", "comfortable", "large", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: tightnicecomfortablelarge
nice looking leggings these leggings are slightly long and the cuffs at the ankle are not tight enough to hold them up . otherwise , they are comfortable and look nice . the waist is high and has a wide band . the logo is large but not terribly obtrusive .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "tight", "nice", "comfortable", "large", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.25
numeric 0.25
APPEARANCE
features 0.75
categories 0.25
numeric 0.00
STYLE
features 0.50
categories 0.25
numeric 0.25
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 39
Rating: 4 | Category: Casual
A wonderfully long & flowy skirt I'm fairly tall at 5'9" so I'm always looking for floor-grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill. I own a couple of them in varying colours & I dig them all. But the one caveat that's keeping me from giving it 5 stars is that they're fairly see-through. On really sunny days I feel as though I should wear extra long tops...
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: fit
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "fit", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: MATERIAL is predicted as Negative. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Positive
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: STYLE is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
a wonderfully long & flowy skirt i ' m fairly tall at 5 ' 9 " so i ' m always looking for floor - grazing skirts - they always tend to fall a little short on me - but these skirts fit the bill . i own a couple of them in varying colours & i dig them all . but the one caveat that ' s keeping me from giving it 5 stars is that they ' re fairly see - through . on really sunny days i feel as though i should wear extra long tops . . .
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 40
Rating: 4 | Category: Hoop
Don't see any white gold but.. These are great small earrings as far as the comfort, ease of putting on, and the looks. As I said, these, to me, are sterling silver looking. They stay attached..I've slept with them, showered...no discoloration at all. There are small stones, crystals?, on the face of the little hoops but are noticeable so the earrings do add some attention to the ear. All done in good taste...
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: smallgreatgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: SIZE is predicted as Positive. The main text evidence is "small", "great", "good", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: greatsmallgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "great", "small", "good", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: greatsmallgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "great", "small", "good", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: looksgreatsmallgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "looks", "great", "small", "good", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: greatsmallgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "great", "small", "good", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: greatsmallgood
don ' t see any white gold but . . these are great small earrings as far as the comfort , ease of putting on , and the looks . as i said , these , to me , are sterling silver looking . they stay attached . . i ' ve slept with them , showered . . . no discoloration at all . there are small stones , crystals ? , on the face of the little hoops but are noticeable so the earrings do add some attention to the ear . all done in good taste . . .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "great", "small", "good", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 41
Rating: 5 | Category: Fashion Sneakers
problem for people with a high instep i love the softness and flexibility of this shoe. i have a high instep, and these shoes have elastic laces. i ordered a wide (i do not have a wide foot) in order to not have the elastic laces cut off my circulation. you can cut the laces out and put in regular laces. shoes would look cute with pink, yellow, or orange laces. red even! feels good in my arch, and pretty comfy overall.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: lovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Negative. The main text evidence is "love", "good", and the strongest metadata source is "features" (0.500).
MATERIAL: Negative
Top text evidence: lovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: MATERIAL is predicted as Negative. The main text evidence is "love", "good", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: lovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "love", "good", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: lookcutelovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "look", "cute", "love", "good", and the strongest metadata source is "features" (0.500).
STYLE: Negative
Top text evidence: lovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Negative. The main text evidence is "love", "good", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: lovegood
problem for people with a high instep i love the softness and flexibility of this shoe . i have a high instep , and these shoes have elastic laces . i ordered a wide ( i do not have a wide foot ) in order to not have the elastic laces cut off my circulation . you can cut the laces out and put in regular laces . shoes would look cute with pink , yellow , or orange laces . red even ! feels good in my arch , and pretty comfy overall .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "love", "good", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 42
Rating: 5 | Category: Board Shorts
Cool, relaxed comfort The Kanu Surf Women's plus size Marina solid stretch Boardshort is perfect for lounging around the house or walking the dog. It is exceptionally cool during the summer and has that extra stretch for comfort. Also, like the elastic waistband in the back.
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
Top text evidence: sizeperfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is "size", "perfect", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: stretchperfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: MATERIAL is predicted as Positive. The main text evidence is "stretch", "perfect", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: perfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: perfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: perfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: perfect
cool , relaxed comfort the kanu surf women ' s plus size marina solid stretch boardshort is perfect for lounging around the house or walking the dog . it is exceptionally cool during the summer and has that extra stretch for comfort . also , like the elastic waistband in the back .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 43
Rating: 5 | Category: Jewelry Towers
Good product I bought this thinking I would put my necklaces on it but I ended up using it for my belts. It works great for that and gives me easy access to the one I want to use for that day.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.750 focus: 0.488 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.750).
MATERIAL: Not_Mentioned
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: goodgreat
good product i bought this thinking i would put my necklaces on it but i ended up using it for my belts . it works great for that and gives me easy access to the one i want to use for that day .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "good", "great", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.75
categories 0.25
numeric 0.00
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 44
Rating: 5 | Category: Socks
Great colorful socks These cotton socks are soft and well made. The six colors are bright. I love them.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: greatsoftlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Positive. The main text evidence is "great", "soft", "love", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: softcottongreatlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "soft", "cotton", "great", "love", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: greatsoftlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Positive. The main text evidence is "great", "soft", "love", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: greatsoftlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "great", "soft", "love", and the strongest metadata source is "features" (0.500).
STYLE: Positive
Top text evidence: greatsoftlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Positive. The main text evidence is "great", "soft", "love", and the strongest metadata source is "features" (0.500).
VALUE: Positive
Top text evidence: greatsoftlove
great colorful socks these cotton socks are soft and well made . the six colors are bright . i love them .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Positive. The main text evidence is "great", "soft", "love", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 45
Rating: 5 | Category: Slippers
Toasty cozy sturdy Moccasins with an outdoor sole to run out to the garbage, get the mail. Not for distance walking. My last pair lasted a VERY long time until the dog chewed it up. So BEWARE...seems tasty to dogs and maybe cats, too!
Per-aspect prediction, text evidence, and metadata source
SIZE: Not_Mentioned
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: SIZE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.366 quality: weak
Explanation: MATERIAL is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
QUALITY: Positive
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: QUALITY is predicted as Positive. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.369 quality: weak
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
toasty cozy sturdy moccasins with an outdoor sole to run out to the garbage , get the mail . not for distance walking . my last pair lasted a very long time until the dog chewed it up . so beware . . . seems tasty to dogs and maybe cats , too !
Top metadata source: features 0.500 focus: 0.054 quality: weak
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is no strong text token, and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 46
Rating: 5 | Category: Slippers
Very nice! My wife loves them!!
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Positive. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: nice
very nice ! my wife loves them ! !
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "nice", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 47
Rating: 5 | Category: Dress Shirts
Nice shirt.... This shirt looks great on my husband and he loves wearing it. It fits him well. The material is smooth and soft and it's comfortable for him. While it's called "non-iron", I still have to iron it. It's easy to iron, though, since it doesn't hold the wrinkles near as bad as many of his other shirts. It's still a nice quality dress shirt and we're both super pleased with it.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: fitsnicegreatsoftcomfortablebad
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Positive. The main text evidence is "fits", "nice", "great", "soft", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: softmaterialnicegreatcomfortablebad
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "soft", "material", "nice", "great", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: qualitynicegreatsoftcomfortablebad
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Positive. The main text evidence is "quality", "nice", "great", "soft", and the strongest metadata source is "features" (0.500).
APPEARANCE: Not_Mentioned
Top text evidence: looksnicegreatsoftcomfortablebad
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Not_Mentioned. The main text evidence is "looks", "nice", "great", "soft", and the strongest metadata source is "features" (0.500).
STYLE: Positive
Top text evidence: shirtdressnicegreatsoftcomfortable
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Positive. The main text evidence is "shirt", "dress", "nice", "great", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: nicegreatsoftcomfortablebad
nice shirt . . . . this shirt looks great on my husband and he loves wearing it . it fits him well . the material is smooth and soft and it ' s comfortable for him . while it ' s called " non - iron " , i still have to iron it . it ' s easy to iron , though , since it doesn ' t hold the wrinkles near as bad as many of his other shirts . it ' s still a nice quality dress shirt and we ' re both super pleased with it .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "nice", "great", "soft", "comfortable", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.50
numeric 0.00
Example 48
Rating: 5 | Category: Jeans
Great jeans, awesome price, true to size, would buy again I hate buying jeans, i struggle with finding ones that fit right. Especially buying before you try on. But these jeans fit perfectly!! In fact after i got the 1st pair and loved them, i immediately bought 2 more. Pants are never long enough since I'm so tall, but the longs are perfect! I'm a plus size gal, and they fit pretty true to size.
Per-aspect prediction, text evidence, and metadata source
SIZE: Negative
Top text evidence: sizefitgreatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: SIZE is predicted as Negative. The main text evidence is "size", "fit", "great", "loved", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: greatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.750 focus: 0.488 quality: strong
Explanation: MATERIAL is predicted as Positive. The main text evidence is "great", "loved", "perfect", and the strongest metadata source is "features" (0.750).
QUALITY: Positive
Top text evidence: greatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: QUALITY is predicted as Positive. The main text evidence is "great", "loved", "perfect", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: greatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "great", "loved", "perfect", and the strongest metadata source is "features" (0.500).
STYLE: Positive
Top text evidence: greatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.500 focus: 0.369 quality: strong
Explanation: STYLE is predicted as Positive. The main text evidence is "great", "loved", "perfect", and the strongest metadata source is "features" (0.500).
VALUE: Positive
Top text evidence: pricegreatlovedperfect
great jeans , awesome price , true to size , would buy again i hate buying jeans , i struggle with finding ones that fit right . especially buying before you try on . but these jeans fit perfectly ! ! in fact after i got the 1st pair and loved them , i immediately bought 2 more . pants are never long enough since i ' m so tall , but the longs are perfect ! i ' m a plus size gal , and they fit pretty true to size .
Top metadata source: features 0.500 focus: 0.054 quality: strong
Explanation: VALUE is predicted as Positive. The main text evidence is "price", "great", "loved", "perfect", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.75
categories 0.25
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 49
Rating: 5 | Category: Handkerchiefs
Best Men's handkerchiefs we have found Best quality, size and durability handkerchiefs we have found. Even better, the price is great. This is the third time we have purchased this pack of hankies.
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: sizegreat
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "size", "great", and the strongest metadata source is "features" (0.500).
MATERIAL: Positive
Top text evidence: great
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: MATERIAL is predicted as Positive. The main text evidence is "great", and the strongest metadata source is "features" (0.500).
QUALITY: Positive
Top text evidence: qualitygreat
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: QUALITY is predicted as Positive. The main text evidence is "quality", "great", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: great
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "great", and the strongest metadata source is "features" (0.500).
STYLE: Positive
Top text evidence: great
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Positive. The main text evidence is "great", and the strongest metadata source is "features" (0.500).
VALUE: Positive
Top text evidence: pricegreat
best men ' s handkerchiefs we have found best quality , size and durability handkerchiefs we have found . even better , the price is great . this is the third time we have purchased this pack of hankies .
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Positive. The main text evidence is "price", "great", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.50
numeric 0.00
MATERIAL
features 0.50
categories 0.50
numeric 0.00
QUALITY
features 0.50
categories 0.50
numeric 0.00
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25
Example 50
Rating: 5 | Category: Clothing
would buy again needed for a uniform. perfect color and fit
Per-aspect prediction, text evidence, and metadata source
SIZE: Positive
Top text evidence: fitperfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: SIZE is predicted as Positive. The main text evidence is "fit", "perfect", and the strongest metadata source is "features" (0.500).
MATERIAL: Not_Mentioned
Top text evidence: perfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: MATERIAL is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
QUALITY: Not_Mentioned
Top text evidence: perfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.129 quality: moderate
Explanation: QUALITY is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
APPEARANCE: Positive
Top text evidence: colorperfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: APPEARANCE is predicted as Positive. The main text evidence is "color", "perfect", and the strongest metadata source is "features" (0.500).
STYLE: Not_Mentioned
Top text evidence: perfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.369 quality: moderate
Explanation: STYLE is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
VALUE: Not_Mentioned
Top text evidence: perfect
would buy again needed for a uniform . perfect color and fit
Top metadata source: features 0.500 focus: 0.054 quality: moderate
Explanation: VALUE is predicted as Not_Mentioned. The main text evidence is "perfect", and the strongest metadata source is "features" (0.500).
Metadata cross-attention (global / averaged)
Aspect-specific metadata attention
SIZE
features 0.50
categories 0.25
numeric 0.25
MATERIAL
features 0.50
categories 0.25
numeric 0.25
QUALITY
features 0.50
categories 0.39
numeric 0.11
APPEARANCE
features 0.50
categories 0.50
numeric 0.00
STYLE
features 0.50
categories 0.50
numeric 0.00
VALUE
features 0.50
categories 0.25
numeric 0.25