task_type stringclasses 1 value | dataset stringclasses 1 value | input sequence | output stringlengths 27 527 | situation stringclasses 1 value | label stringclasses 1 value | extra stringclasses 1 value | instruct stringclasses 1 value |
|---|---|---|---|---|---|---|---|
generation | semeval-2016 | [
"Screen broke 1 month outside warranty.",
"Overall build quality is cheap.",
"Avoid Acer."
] | [['display quality', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Purchased a Toshiba Lap top it worked good until just after the warrenty went out.",
"After the warrenty expired the hard drive went bad and it would have cost more to fix then to replace.",
"Before we got this laptop, had a compaq pasaro for 5 years with no problems.",
"After the bad experience with this co... | [['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['hard_disc quality', 'negative'], ['support price', 'negative'], ['company general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"My hp G60-244dx died after only 16 months.",
"It started out getting hot after only a few months.",
"I should have sent it back to them then.",
"At 16 months it started shutting off after only 5 or 10 minutes.",
"I use a cooling pad but it doesn't help.",
"I took it to the shop and they said It would cos... | [['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['support price', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Okay, let's just start out by saying I am in no way a computer techy.",
"I am a wife, mom and a school teacher and a college student.",
"Trying to balance all of my roles leaves very little time for me to do anything, so I want to manage my time I do have to be the most efficient.",
"I work on a PC at home a... | [['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['support quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"My husband got me this for Chrismas after getting me a very expensve laptop that did not work after 2 days.",
"So we exchanged it for the same on and after 2 hours it didn't work.",
"I went with him and we picked this one.",
"It is made better, thicker, and all out tough!",
"I droped this once from thetabl... | [['laptop quality', 'positive'], ['laptop design_features', 'conflict'], ['display usability', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop general', 'positive'], ['company general', 'positive'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I love this laptop!",
"It does everything I need it too!"
] | [['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"From the start, when you open the box you see a completely different class of machine.",
"The ease in which you set everything up is such that a child could do it.",
"The screen is bright and clear, the operating system is solid and friendly to a novice.",
"Fast, fast and fast, the web pages just fly by.",
... | [['laptop general', 'positive'], ['laptop usability', 'positive'], ['display quality', 'positive'], ['os quality', 'positive'], ['os usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['software general', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Overall this laptop is great.",
"It has plenty of memory, lots of hard drive, and great graphics.",
"It runs very quiet too which is a plus.",
"The only bad thing about it is they give you the worst batteries possible.",
"They only stay charged a little over an hour.",
"Laptops are usually used on the go... | [['laptop general', 'positive'], ['memory design_features', 'positive'], ['hard_disc design_features', 'positive'], ['graphics general', 'positive'], ['laptop quality', 'positive'], ['battery operation_performance', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"It has some bloat wear that I wish weren't there.",
"It works fine for a PC in this price range.",
"I bought it for my parents (late 60s) and they love it - particularly the keyboard and screen."
] | [['laptop design_features', 'negative'], ['software general', 'negative'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['laptop general', 'positive'], ['keyboard general', 'positive'], ['display general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I love HP,, it's the only computer/printer we will buy.",
"Got this for a graduation gift for my daughter for her to use at college.",
"This is perfect for her field."
] | [['company general', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is an ok computer.",
"The processor shows a speed of 1.7gz.",
"The sound is disappointing.",
"No bass sound at all.",
"Maybe this one is just a dud."
] | [['laptop general', 'negative'], ['multimedia_devices quality', 'negative'], ['laptop quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I love this laptop to the moon.",
"My favorite colors black and red, the matte material and the red backlight of the keyboard.",
"The sound is great and it's fast.",
"I had a number of updates to do and customization.",
"The laptop is beautiful, not extremely light but thin enough and wide screen with a fu... | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['keyboard design_features', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop operation_performance', 'positive'], ['display design_features', 'positive'], ['display operation_performance', 'positive'], ['laptop connectivity', 'positive'], ['software miscellaneous', 'neutral'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The Dell is quick enough, sturdy, not good with finger prints.",
"It does what it advertises.",
"Price is great, wish it didn't have Windows 8, but that is an opinion.",
"I would recommend it, for anybody needing a reliable simple laptop."
] | [['laptop operation_performance', 'positive'], ['laptop quality', 'conflict'], ['laptop general', 'positive'], ['laptop price', 'positive'], ['os general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Laptop is advertised as a 15\" but the casing looks like that of a 17\".",
"This laptop is very large and barely fits in any carrying cases.",
"Peformance is good for the price.",
"If you're not wanting to be mobile, this is a good laptop to sit on a desk."
] | [['laptop design_features', 'negative'], ['laptop portability', 'negative'], ['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The worst computer I have ever laid my eyes upon.",
"Firstly, it has no leds to let you know what is going on, no cap lock, no hard drive indicator, nothing.",
"Ok, one light to let you know if the damn thing is on.",
"The biggie though is the fact that it disconnects from the internet whenever if feels like... | [['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop connectivity', 'negative'], ['laptop operation_performance', 'negative'], ['laptop usability', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is without a doubt the worst laptop I've ever had.",
"I wavered between another Toshiba and this and ended up choosing this and I'm so sorry I did.",
"And of course, the return window closed last week so now, I'm stuck with it.",
"I will never buy another Lenovo anything!",
"Unless you plan on using a... | [['laptop general', 'negative'], ['company general', 'negative'], ['mouse general', 'negative'], ['mouse operation_performance', 'negative'], ['mouse quality', 'negative'], ['mouse usability', 'negative'], ['laptop operation_performance', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is a nicely sized laptop with lots of processing power and long battery life.",
"Love it so far."
] | [['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Small and light weight.",
"Speakers too small to be of any real use.",
"Keyboard good sized and wasy to use.",
"I like it!"
] | [['laptop design_features', 'positive'], ['multimedia_devices design_features', 'negative'], ['multimedia_devices usability', 'negative'], ['keyboard design_features', 'positive'], ['keyboard usability', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I love this computer, this is my first ever Mac (I'm 21) and it took a little while to switch over from the OS I was used to, but it was a fast learning curve.",
"The resolution is gorgeous, the computer is light, it does everything I need and the interface is pretty intuitive."
] | [['laptop general', 'positive'], ['display quality', 'positive'], ['laptop design_features', 'positive'], ['os usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This lap top is good so far.",
"It is quiet runs smoothly.",
"I really like the video option on it, I stream movies on Amazon Prime and Netflix and there is no lag.",
"Actually streams better than my regular desk top computer.",
"The only negative would be that it gets pretty warm sitting on my lap for ver... | [['laptop general', 'positive'], ['laptop quality', 'conflict'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"BOUGHT FROM WAL-MART, I BELIEVE THAT THIS LAPTOP WAS A REPAIRED ITEM.",
"THIS LAPTOP WAS BAD FROM THE FIRST DAY OF USE----BROUGHT IT BACK TO STORE FOR RETURN OF MONEY.",
"NOW AM VERY APREHENSIVE ABOUT TOSHIBA LAPTOPS.",
"WILL NOT EVERY BUY ANOTHER--------LOU"
] | [['laptop quality', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"little short on RAM but you get what you pay for.",
"the hinge design forced you to place various connections all around the computer, left right and front.",
"the headphone and mic jack are in front of touch-pad making the touch-pad hard to use when using headphones/mic, not to mention the laptop was designed... | [['memory design_features', 'neutral'], ['laptop design_features', 'negative'], ['laptop usability', 'negative'], ['ports design_features', 'negative'], ['mouse usability', 'negative'], ['os general', 'positive'], ['company general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Probably as good as you can get in a netbook, does everything I ask for and has some very good unexpected pluses.",
"Has met or exceeded my needs for a compact travel device."
] | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This MacBook is an outstanding product with great value.",
"Its ease of use and the top service from Apple- be it their phone assistance or bellying up to the genius bar- cannot be beat.",
"Suffice it to say, my MacBook Pro keeps me going with its long battery life and blazing speed.",
"It does run a little ... | [['laptop general', 'positive'], ['laptop usability', 'positive'], ['support quality', 'positive'], ['battery operation_performance', 'positive'], ['laptop operation_performance', 'positive'], ['laptop quality', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"HP Pavilion DV9000 Notebook PC When I first got this computer, it really rocked.",
"But as time went on I found it almost impossible to keep the thing on-line through wi-fi.",
"Eventually the screen went blank and the computer would not turn on.",
"HP said it was out of warranty.",
"Guess I'll stay aw... | [['laptop general', 'negative'], ['laptop connectivity', 'negative'], ['display operation_performance', 'negative'], ['laptop operation_performance', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I've only had this computer for a few days an I already don't like it.",
"The battery life is a joke and it's causing other problems.",
"I will be returning it.",
"If people are writing bad reviews about this laptop then believe what they say."
] | [['laptop general', 'negative'], ['battery operation_performance', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This laptop meets every expectation and Windows 7 is great!",
"It's fast, it's easy easy easy to set up, easy to hook to my wireless network.",
"It's even easy to hook up to other wireless networks.",
"The battery doesn't last long but I'm sure an upgrade battery would solve that problem.",
"I don't use my... | [['laptop general', 'positive'], ['os general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop connectivity', 'positive'], ['battery operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Since I keyboard over 100 wpm, I look for a unit that has a comfortble keyboard (no keys sticking or lagging, strange configuration of \"extra key\", etc.",
"I love the keyboard.",
"Most laptops and notebooks are difficult to key on.",
"This unit is not."
] | [['keyboard usability', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Outstanding laptop and very well built.",
"This unit will replace my old desktop.",
"The retina display is fantastic."
] | [['laptop general', 'positive'], ['laptop quality', 'positive'], ['display general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I shopped around before buying.",
"I wasn't really sure I wanted to spend that kind of money!",
"It Was a great deal after all.",
"I LOVE it!",
"I should have bought one a long time ago.",
"Not enough time for me to give it 5 stars!"
] | [['laptop general', 'positive'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The laptop itself is very good, it could be better, but not bad at all for it's price point.",
"It does everything I need.",
"The big deal with this was Windows 7.",
"I had searched everywhere for a Windows 7 laptop, and all I could find was that awful Windows 8.",
"When I saw this I grabbed it.",
"It ha... | [['laptop general', 'positive'], ['laptop price', 'neutral'], ['os general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"My MacBook is probably the best investment I have ever made.",
"I have had it for almost four years now and I have only had a few problems with it.",
"The most recent being that my Safari internet browser is freaking out on me, but I have just been using firefox instead.",
"If you had PC for four years I can... | [['laptop general', 'positive'], ['laptop quality', 'positive'], ['software operation_performance', 'negative'], ['display design_features', 'positive'], ['laptop design_features', 'positive'], ['laptop portability', 'positive'], ['laptop usability', 'positive'], ['software usability', 'conflict']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Hands down one of my best and most used purchases thus far.",
"The Mid-2014 MacBook Pro does no disappoint...",
"Retina screen, solid build quality, weight, fast processor and the reliability of the Apple brand.",
"Cons:Honestly zero con's ... as a Windows PC user the switch over was seamlessly, I run Paral... | [['laptop general', 'positive'], ['display quality', 'positive'], ['laptop quality', 'positive'], ['laptop design_features', 'positive'], ['cpu operation_performance', 'positive'], ['company general', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"CRASHED only 2 days from getting it!!!!",
"Says it is failing hard drive.",
"Going to see what lenovo does.",
"I should have bought something better."
] | [['laptop operation_performance', 'negative'], ['laptop quality', 'negative'], ['hard_disc quality', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Strong performance in this device makes use of fun and a strong sense of the era of speed",
"This device serves all modern requirements is a very strong game and is very useful for designers.",
"Enjoy that Toshib force and durability unparalleled"
] | [['laptop operation_performance', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I live in Jamaica and bought this online and my husband took it down for me.",
"So far I do not have any trouble with it other than the picture quality is a bit poor.",
"My son saw this laptop online and told be about it and i thought it was a good deal and bought it.",
"I have had it over a month now and it... | [['laptop general', 'positive'], ['display quality', 'negative'], ['laptop operation_performance', 'positive'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Windows Vista makes this computer almost unusable for online service.",
"I've tried going back to XL but there still problems.",
"The technical service for dell is so 3rd world it might as well not even bother.",
"Just a bunch of idiots who's English as a 5th language is forced at best.",
"I'm all for savi... | [['os general', 'negative'], ['laptop usability', 'negative'], ['support quality', 'negative'], ['company general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I purchased two laptops (for my husband and 16 year old daughter).",
"My husband uses it mostly for games, email and music.",
"My daughter uses it for games, email, facebook, pictures and music.",
"They were able to set-up with labtops themselves within a few minutes.",
"It works fine with our wireless and... | [['laptop usability', 'positive'], ['laptop connectivity', 'positive'], ['laptop general', 'positive'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This just keeps having it's hard drive replaced!",
"Acer won't replace the laptop.",
"the manufacturer's warranty only covers replacement/repair of parts.",
"This thing is a lemon."
] | [['hard_disc quality', 'negative'], ['support quality', 'negative'], ['warranty general', 'negative'], ['laptop quality', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Screen is awesome, battery life is good.",
"Really like the textured surface which shows no fingerprints.",
"Good laptop for the money.",
"Speakers don't get that loud, but good enough."
] | [['display general', 'positive'], ['battery operation_performance', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['laptop price', 'neutral'], ['multimedia_devices quality', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I purchased this laptop while on a business trip to keep up with my email.",
"I had left my regular laptop at home and needed something to use while out of town .",
"The price and features more than met my needs.",
"I love WIndows 7 which is a vast improvment over Vista.",
"The feature are good enough for ... | [['laptop price', 'positive'], ['laptop design_features', 'positive'], ['os general', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Took it back as it was defective.",
"Page just disapeared after you got yahoo or downloaded something.",
"Couldn't keep a page up you were working on!"
] | [['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Can not believe the price!",
"Amazing computer, perfect for school."
] | [['laptop price', 'positive'], ['laptop general', 'positive'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This laptop leaves alot to be desired, I have had it only 5 months and have had to send it away to be repaired twice...",
"I bought it from HSN because it was \"bundled\" with extra software, but as it turns out, that software just crashes it more often.....",
"If you shop around in the current market you can ... | [['laptop general', 'negative'], ['laptop quality', 'negative'], ['software general', 'negative'], ['laptop design_features', 'neutral'], ['laptop operation_performance', 'negative'], ['support quality', 'positive'], ['shipping quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I've owned every \"Pro\" model Apple laptop for the last 8 years, this is BY FAR the WORST one I've ever had.",
"It crashes, and when it goes flat, it just DIES (like a PC, maybe worse) and I loose all my open documents!",
"I Hate it!"
] | [['laptop operation_performance', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I had this computer for one month and had to send it in for repair.",
"Got the computer back a month later and it was still broken sent it out again and they repaired it.",
"3 weeks went by and the computer keeps crashing and will not open any applications.",
"DO NOT BUY GATEWAY COMPUTERS THEY ARE JUNK AND T... | [['laptop quality', 'negative'], ['support quality', 'negative'], ['company general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is a great home computer.",
"It is very, very quiet.",
"The only reason I didn't give it a 5 star is, I feel I have to reach so far to type on the key board.",
"You also have to press firmly on the keys.",
"Otherwise this is a great computer great prices."
] | [['laptop miscellaneous', 'positive'], ['laptop quality', 'positive'], ['laptop general', 'positive'], ['keyboard usability', 'negative'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The So called laptop Runs to Slow and I hate it!",
"Do not buy it!",
"It is the worst laptop ever"
] | [['laptop operation_performance', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"STOPPED BOOTING UP less than a week after my one-year warranty was up.",
"Toshiba knows there is a manufacturing defect but will not acknowledge it.",
"Summary: After doing some investigation on the web, I have found that Toshiba NB205s are not chronically not booting.",
"Apparently there is a manufacturing ... | [['laptop operation_performance', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['support price', 'negative'], ['os general', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I bought this for my daughter to use for school and homework, it's not a \"fast\" computer, but it's great for what she needs it for and very light weight!",
"Love the price too!"
] | [['laptop operation_performance', 'neutral'], ['laptop design_features', 'positive'], ['laptop general', 'positive'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"not a good computer at all.",
"We returned two days later.",
"They were excellent to handle our return and post our refund back into our account the next day.",
"Thank you!"
] | [['laptop general', 'negative'], ['support quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is my first personal Satellite purchase but had very good experience through previous Satellite work issued laptops.",
"I mainly use it for email, internet, and managing personal files (pics, vids, etc.).",
"I occassionaly use it for work via VPN and it has not given me any problems.",
"The screen is ni... | [['laptop miscellaneous', 'positive'], ['display general', 'positive'], ['display quality', 'positive'], ['keyboard quality', 'positive'], ['laptop design_features', 'positive'], ['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I bought this laptop Was the worst Laptop I've ever bought.",
"I spent alot of money on this product and its been a nightmare.",
"And having to deal with the company has been a even worse nightmare.",
"I sent it to them to fix in perfect condition but for what was wrong with it.",
"They sent it back with a... | [['laptop general', 'negative'], ['laptop price', 'negative'], ['support quality', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I just got this laptop for college, and so far I am very happy with it.",
"I really wanted a Mac over a pc because I used a Mac in high school.",
"It is so much easier to use"
] | [['laptop general', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Terrific value for the money.",
"Love the key layout and the built-in mouse pad - all work well and are properly sized.",
"Was easy to get up and running and comes with Windows 7 Pro (my favorite operating system so far, do not like Windows 8).",
"Highly recommended."
] | [['laptop general', 'positive'], ['laptop price', 'neutral'], ['keyboard design_features', 'positive'], ['mouse design_features', 'positive'], ['keyboard operation_performance', 'positive'], ['mouse operation_performance', 'positive'], ['laptop usability', 'positive'], ['os general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I paid for extra memory and the 17-inch screen, as well as the top of the line DVD and CD burners.",
"I custom ordered the machine from HP and could NOT understand the techie due to his accent.",
"Finally was able to reach a young lady in California and ordered the machine and was subsequently given a delivery... | [['support quality', 'negative'], ['shipping quality', 'negative'], ['laptop quality', 'negative'], ['laptop price', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I received this laptop as a gift and let me just tell you that its the worst.",
"At first it worked well for a month or so then the system board failed and I send it in to toshiba some complaints and three weeks later I then receive my laptop back only to discover that it still has the same problem so now I have... | [['laptop general', 'negative'], ['motherboard quality', 'negative'], ['support quality', 'negative'], ['laptop miscellaneous', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"i love to use it it is esay and light.",
"this laptop is durable and it is easy to travel with.",
"i needed one to be able to carry to work everyday and this one seems to fit all of the criteria.",
"this laptop is great for work and doing my pictures.",
"i am a huge computer person i love anykind of comput... | [['laptop general', 'positive'], ['laptop usability', 'positive'], ['laptop design_features', 'positive'], ['laptop quality', 'positive'], ['laptop portability', 'positive'], ['laptop miscellaneous', 'positive'], ['laptop operation_performance', 'positive'], ['software usability', 'positive'], ['software operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This mac is great!",
"lightweight, long battery life, excellent transition from PC;"
] | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['battery operation_performance', 'positive'], ['laptop miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"All I can say is W-O-W.",
"This laptop is insane!!!",
"It's so nice to look at and the keys are easy to type with.",
"I bought a protector for my key pad and it works great :)",
"This is definitely a computer worth the money;",
"The mouse is a little bit different than what you're used to though- it has ... | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['keyboard usability', 'positive'], ['keyboard operation_performance', 'positive'], ['laptop price', 'positive'], ['mouse design_features', 'neutral'], ['mouse usability', 'neutral'], ['laptop miscellaneous', 'positive'], ['support quality', 'positive'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Very good performer for the price.",
"Not blazing fast, but quick enough.",
"One really nice thing about Lenovo laptops is that they are not cluttered with a bunch or trial software.",
"The desktop was clean once I got it up and running.",
"Battery life is above average, and it charges quickly.",
"Keyboa... | [['laptop operation_performance', 'positive'], ['laptop price', 'neutral'], ['laptop design_features', 'positive'], ['software miscellaneous', 'positive'], ['company general', 'positive'], ['battery operation_performance', 'positive'], ['keyboard quality', 'positive'], ['mouse design_features', 'neutral'], ['mouse usability', 'neutral'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The PC is works well with a good battery and a power cable, and has a web cam.",
"However, it does not have a DVD drive, neither does it afford one the opportunity to connect an external DVD drive as the manufacturer did not make any point ofconnection of an external drive."
] | [['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive'], ['laptop design_features', 'conflict'], ['laptop usability', 'negative'], ['laptop connectivity', 'negative'], ['laptop general', 'conflict']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I love my new ThinkPad!",
"It gives me everything I need from a computer and with the long lasting battery, it also gives me mobility.",
"I can use it anywhere.",
"It was a great purchase."
] | [['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['laptop portability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This product was DOA.",
"Fired up and worked for the first day and then the display died on my wife while she was taking a timed test.",
"Would not recommend."
] | [['laptop quality', 'negative'], ['display quality', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"A good value on a quality product.",
"Easy setup, and delivers all the functions we need."
] | [['laptop quality', 'positive'], ['laptop price', 'positive'], ['laptop usability', 'positive'], ['laptop operation_performance', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The Toshiba laptop was a great purchase.",
"The price was very good, and the product is top quality.",
"The delivery was fast, and I would not hesitate to purchase this laptop again."
] | [['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'positive'], ['shipping quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I get giddy every time I use this thing.",
"It is a thing of beauty and fast enough.",
"What's fast enough?",
"When you click and don't wait.",
"Waiting is horrible, and not waiting is the best thing on earth.",
"So yes, it is ridiculously fast.",
"The battery will get you from LA to NY no problem."
] | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['laptop operation_performance', 'positive'], ['battery operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"i'm very happy,this laptop is beatifull, is'nt slow at all.",
"but it doesn't have a cd unit, anyway the other thing is that the laptop does not have an ethernet port for cable connecting.",
"just wifi....",
"the screen is big, and everything was as described"
] | [['laptop general', 'positive'], ['laptop design_features', 'conflict'], ['laptop operation_performance', 'positive'], ['laptop connectivity', 'negative'], ['display design_features', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"As an owner of a Toshiba Satalite laptop computer things you should know before you buy.",
"The Computer itself is a good product but the repair depot stinks.",
"I have had to send in my laptop three times to get it fixed.",
"Two of the times was in one month.",
"I had in the past a Dell laptop and they se... | [['laptop general', 'positive'], ['support quality', 'negative'], ['keyboard quality', 'negative'], ['keyboard operation_performance', 'negative'], ['power_supply quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The Toshiba Satellite laptop is DESIGNED to fail !",
"The board has a bad connector with the power supply and shortly after warrenty expires the power supply will start having issues.",
"Toshiba is aware of the issue but unless the extended warrenty is bought Toshiba will do nothing about it.",
"I actually... | [['laptop general', 'negative'], ['motherboard quality', 'negative'], ['power_supply quality', 'negative'], ['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I am overall very pleased with my toshiba satellite, I like the extra features, I love the windows 7 home premium.",
"The battery life has not decreased since I bought it, so i'm thrilled with that.",
"I also love the design, the looks, the feel, and the my toshiba feature is wonderfull.",
"I would easly rec... | [['laptop general', 'positive'], ['laptop design_features', 'positive'], ['os general', 'positive'], ['battery operation_performance', 'positive'], ['battery quality', 'positive'], ['laptop quality', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Not working = bad",
"I spent 2200 dollars on a \"top of the line laptop\".",
"I got the blue screen of death the first month I got it.",
"1) Payed $2200 for a \"premium\" laptop",
"2) Blue screen first month",
"3) Horrible customer support-they lost my laptop for a month-got it back 3 months later",
"4... | [['laptop operation_performance', 'negative'], ['laptop price', 'negative'], ['laptop quality', 'negative'], ['support quality', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This is a great value for the money.",
"We purchased this as a back up computer after our more expensive HP needed to be repaired.",
"This is a great computer.",
"We haven't had any problems with it at all.",
"The body is a bit cheaply made so it will be interesting to see how long it holds up.",
"Overal... | [['laptop general', 'positive'], ['laptop price', 'positive'], ['laptop quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"previous laptops were pc's, still have them, but the mac osx is a clean and smooth operating system.",
"still testing the battery life as i thought it would be better, but am very happy with the upgrade."
] | [['os design_features', 'positive'], ['os operation_performance', 'positive'], ['battery operation_performance', 'neutral'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"A great computer for light home use and business use.",
"Might not make the avid gamer happy but I don't really think that is what this computer is designed for.",
"Crisp screen, great battery life, and plenty of storage.",
"Very happy."
] | [['laptop miscellaneous', 'positive'], ['display quality', 'positive'], ['battery operation_performance', 'positive'], ['hard_disc design_features', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"LOOKS LIKE THIS DELL IS A PIECE OF CRAP.",
"IT DOES NOT TURN ON - IF I TAKE THE BATTERY OUT IT MIGHT WORK, NOT SURE IF IT'S A BAD BATTERY OR COMPUTER!",
"DO NOT RECOMMEND!"
] | [['laptop quality', 'negative'], ['laptop operation_performance', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Excellent performance, especially given its price point.",
"It's performing very well after a week's use and I don't anticipate any trouble given my past experiences with Dell pcs.",
"The screen is wide and provides excellent clarity.",
"In addition to some usage on the road, this is also my desktop unit.",
... | [['laptop operation_performance', 'positive'], ['laptop price', 'positive'], ['company general', 'positive'], ['display design_features', 'positive'], ['display quality', 'positive'], ['laptop design_features', 'neutral'], ['laptop portability', 'neutral'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Love everything about this laptop!",
"Sound, quality and touchscreen are awesome!",
"I would definitely recommend this!!"
] | [['laptop general', 'positive'], ['multimedia_devices quality', 'positive'], ['laptop quality', 'positive'], ['display general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"dell is a decently made pc.",
"although its windows vista compared to windows xp sucks.",
"the graphics are awful and the wireless switch it at the top rather than the side which I am used to it being on the side.",
"with the switch being at the top you need to memorize the key combination rather than just f... | [['laptop general', 'negative'], ['os general', 'negative'], ['graphics general', 'negative'], ['laptop design_features', 'negative'], ['laptop usability', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This laptop is nice.",
"It has a decent feel to it, sharp display and is fast enough.",
"The biggest problem I have is the right side and top of the touchpad is unresponsive.",
"So frustrating!!",
"I have updated the drivers and tweeked every feature available, but nothing has helped.",
"Also, the touchp... | [['laptop quality', 'neutral'], ['display quality', 'positive'], ['laptop operation_performance', 'positive'], ['mouse operation_performance', 'negative'], ['mouse usability', 'negative'], ['laptop general', 'negative'], ['company general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"lots of preloaded software.",
"the only problem is that i had to add 1 gb RAM, the computer was kinda slow.",
"tosiba has a good reputation, my llast computer was an acer.",
"this is starting off good."
] | [['laptop design_features', 'positive'], ['memory design_features', 'negative'], ['laptop operation_performance', 'negative'], ['company general', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Great Laptop for the price, works well with action pack games.",
"The only thing that I have, is the key broad is a little dark to see the letters, would help if it was a little lighter then it is.",
"but other then that I would give this product a 4 in hafe stars."
] | [['laptop general', 'positive'], ['laptop price', 'neutral'], ['laptop miscellaneous', 'positive'], ['keyboard design_features', 'negative'], ['keyboard usability', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"At first when I got this product, I loved it.",
"The computer itself was fast, ran smoothly, and had no problems.",
"Then, within 5 months, the charger crapped out on me.",
"So I called Compaq, and after being on the phone for 3 hours, i finally got a replacement which I shouldn't have had a problem getting ... | [['laptop operation_performance', 'positive'], ['power_supply quality', 'negative'], ['support quality', 'negative'], ['battery quality', 'negative'], ['battery operation_performance', 'negative'], ['power_supply miscellaneous', 'negative'], ['laptop miscellaneous', 'negative'], ['laptop general', 'negative'], ['laptop design_features', 'negative'], ['laptop quality', 'negative'], ['display quality', 'negative'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Been using Lenovo ThinkPad Edge laptops in our business for several years now and have no complaints about any of them.",
"They have held up well not just in our sales department, but also in our service department where they are exposed to dust, exhaust, grease, oil, and all manner of other non-computer-friendl... | [['laptop general', 'positive'], ['laptop quality', 'positive'], ['software general', 'neutral'], ['laptop design_features', 'neutral'], ['laptop usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"All the sturdy and substantial feel you expect from a Thinkpad.",
"Average performance on almost every benchmark but priced accordingly.",
"Below average on the w-fi adapter which I'm still trying to get to the bottom of.",
"If the wi-fi adapter will not support duplex operation (still trying to get to the b... | [['laptop quality', 'positive'], ['laptop operation_performance', 'neutral'], ['laptop price', 'positive'], ['laptop connectivity', 'negative'], ['laptop general', 'conflict']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I absolutely love my mac!",
"I can't imagine my life without it anymore!",
"It's perfect for everything and runs faster than an average pc!"
] | [['laptop general', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I've haven't had any major problems with the laptop except that the plastic piece that covers the usb port wires have all come off.",
"Apparently they are defective since they are not securely attached.",
"I can barely use any usb devices because they will not stay connected properly.",
"I called Toshiba and... | [['laptop general', 'positive'], ['ports quality', 'negative'], ['laptop connectivity', 'negative'], ['support quality', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This computer is good for 10 days then it sucks for the rest of your life.",
"Don't waste their money, save it and but a mac.",
"You will regret it if you buy any dell.",
"Dell sucks"
] | [['laptop quality', 'negative'], ['company general', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This laptop is a complete cheap junk.",
"By just looking at it you will realize it's crap.",
"It's not what you pay for.",
"The case is made from cheap plastic.",
"In the description it said there is Bluetooth but no there isn't.",
"I'm warning you, You're wasting your money on this"
] | [['laptop quality', 'negative'], ['laptop general', 'negative'], ['laptop price', 'negative'], ['laptop design_features', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Our Apple 13.3 MacBook Pro Notebook Computer (Z0J80001) Notebook and has become such an integral part of completing our daily needs and social networking.",
"I do everything on this computer - check email, facebook, shop, check blogs, write papers, listen to music, and we even watch all of our movies on it since... | [['laptop miscellaneous', 'positive'], ['laptop general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'positive'], ['company general', 'positive'], ['software usability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"been a PC user for many, many years.",
"Let me tell you, this machine is great.",
"Purchased for development purposes, but it has turned into my everyday laptop as well for surfing, e-mail, etc.",
"I thought learning the Mac OS would be hard, but it is easily picked up if you are familiar with a PC.",
"The... | [['laptop general', 'positive'], ['laptop miscellaneous', 'positive'], ['os usability', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Ok, this is probably the best laptop series ever devised by Apple.",
"The case is carved out of a single block of aluminum.",
"Although I opted for the lowest end MacBook Pro, this thing holds its own.",
"The processor screams, and because of the unique way that Apple OSX 16 functions, most of the graphics a... | [['laptop general', 'positive'], ['laptop quality', 'positive'], ['cpu operation_performance', 'positive'], ['os operation_performance', 'positive'], ['graphics design_features', 'positive'], ['laptop operation_performance', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Being a PC user my whole life....",
"This computer is absolutely AMAZING!!!",
"10 plus hours of battery...",
"super fast processor and really nice graphics card..",
"and plenty of storage with 250 gb(though I will upgrade this and the ram..)",
"This computer is really fast and I'm shocked as to how easy ... | [['laptop general', 'positive'], ['battery operation_performance', 'positive'], ['cpu operation_performance', 'positive'], ['graphics general', 'positive'], ['hard_disc design_features', 'positive'], ['laptop operation_performance', 'positive'], ['laptop usability', 'positive'], ['laptop portability', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"This laptop is absolutely horrible.",
"I bought it simply for Excel on Windows for work since I have a Macbook Air and literally the thing freezes and lags opening Excel or my web browser.",
"There is a chance mine is defective but regardless I'm not going to try another one this is a terrible product.",
"I'... | [['laptop general', 'negative'], ['laptop operation_performance', 'negative'], ['laptop price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"Supper east to use.",
"Retina display is beautiful.",
"Also very quick laptop!",
"Con: Hate that it has no disk drive."
] | [['laptop usability', 'positive'], ['display general', 'positive'], ['laptop operation_performance', 'positive'], ['laptop design_features', 'negative'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"works good but doesn't seem like it's made sturdy.",
"kinda to light and plastic feeling.",
"i have square trade for it just in case it breaks"
] | [['laptop operation_performance', 'positive'], ['laptop quality', 'negative'], ['laptop design_features', 'negative'], ['laptop general', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"it was easy to set up.",
"I like the number pad for work so that's nice"
] | [['laptop usability', 'positive'], ['keyboard design_features', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I'm glad I made the choice to switch and buy this MAC.",
"The benefits were immediate!",
"Awesome graphics!",
"Applications respond immediately (not like the tired MS applications).",
"I can actually get work done with this MAC, and not fight with it like my tired old PC laptop.",
"The magnetic plug-in p... | [['laptop general', 'positive'], ['graphics general', 'positive'], ['software operation_performance', 'positive'], ['software usability', 'positive'], ['power_supply design_features', 'positive'], ['laptop usability', 'conflict'], ['company general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"The Toshiba laptop I am using is easier to use than most I have tried.",
"The games included are very good games.",
"I am finding my way around this laptop better than my last one.",
"I would highly recommend this one to my friends"
] | [['laptop usability', 'positive'], ['software general', 'positive'], ['laptop general', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] | ||
generation | semeval-2016 | [
"I saved for this laptop for 3 months and I can tell you personally it was worth the wait.",
"The display on this computer is the best I've seen in a very long time, the battery life is very long and very convienent.",
"A little pricey but it is well, well worth it.",
"I've been a PC user and I just finally s... | [['laptop general', 'positive'], ['display general', 'positive'], ['battery operation_performance', 'positive'], ['laptop price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term's aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "If your on a budget.... Save up longer.This laptop isn't worth a single cent.I couldn't even install linux on it.Windows runs very poorly.Just save your money and get something better." Output: [['laptop general', 'negative'], ['laptop usability', 'negative'], ['os operation_performance', 'negative']] |
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in Data Studio
上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
以acos数据集中抽取的jsonl文件一条数据举例：
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty switching between tablet and computer ."],
"output": "[['computer', 'laptop usability', 'negative', 'difficulty']]",
"situation": "none",
"label": "",
"extra": "",
"instruction": "
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words.
Input: A sentence
Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence.
Example:
Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference.\"
Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']]'
"
}
此处未设置label和extra，在instruction中以如上所示的字符串模板，并给出一个例子进行one-shot，ABSA领域数据集(absa-quad,acos,arts,aste-data-v2,mams,semeval-2014,semeval-2015,semeval-2016,towe)每个数据集对应instruction模板相同，内容有细微不同，且部分数据集存在同一数据集不同数据instruction内容不同的情况。
原始数据集
- 数据链接
- Paper：SemEval-2016 Task 5: Aspect Based Sentiment Analysis
- 说明：数据分为Laptop和restaurant两个主题的数据，分别在两个文件夹中放置。两个主题的数据抽取的元素不同。
当前SOTA
数据来自PaperWithCode
SemEval2016-Laptop 未调研到相关评测工作
-
- 评价指标：Accuracy(抽取的分类准确率)
- 模型：BERT-IL Finetuned (88.70)
- Paper：Does BERT Understand Sentiment? Leveraging Comparisons Between Contextual and Non-Contextual Embeddings to Improve Aspect-Based Sentiment Models
- 信息来源：SemEval-2016
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