instruction stringlengths 142 759 | input stringclasses 1
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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil Remix)' is raging at ShoutDRIVE!
Emotion: anger
Intensity score: | 0.562 | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @TurtleTitan2003 (She laughed a bit. Of course it was! Aria shook her head, calming her mirth so she cou... | 0.438 | |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: Feeling like I've had the wor... | anger, disgust, fear, pessimism, sadness | |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: Not sure that men can handle a woman that's got her crap together. #intimidation #independent
Emotion: fear
Intensity score: | 0.396 | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @thatsabingo grim really
Em... | 3: high amount of sadness can be inferred | |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: @DepressedStride > huff louder
Emotion: anger
Intensity score: | 0.375 | |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: Vacation wise, Egypt offers great places, amazing scenery, bright skies and good weather at a very good and affordable price for... | 0.521 | |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: Asked one thing from our guys to... | joy, sadness | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @aidankerrpol I think you s... | 0: no fear can be inferred | |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: To com sede de milk shake
Emotion: fear
Intensity score: | 0.312 | |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @Dubai92 try asking for a cheeseburger with only onion &... | joy, surprise | |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: Vals always smiling I love it #g... | joy, love, optimism | |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: @cresbots dw I think cheeks are ... | anger, disgust, fear, sadness | |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: Niggas murking in each other. In... | anger, disgust, optimism | |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can b... | 3: very positive emotional state can be inferred | |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: never #make a decision when you are .. #angry >_<... | 2: moderate amount of anger can be inferred | |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Watch this amazing live.ly broadcast b... | 2: moderate amount of joy can be inferred | |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: This nigga doesn't even look for his real family 🙄😂 #sad
Emotion: sadness
Intensity score: | 0.729 | |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: we never taste happiness in perfection... | 2: moderate amount of sadness can be inferred | |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: This pretentious dick in Night Gallery just fucking, used ... | 0: no sadness can be inferred | |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: Recommended reading: Prisoners o... | anger | |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Inner conflict happens when we are at odds with ourselv... | 2: moderate amount of anger can be inferred | |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: @sundersa... | joy | |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡
Emotion: anger
Intensity score: | 0.438 | |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: Has September been dull? Get #SuperSeptember from Jumia Food as a new user. Order from The Place, Barcelos or Shawarma & Co for 30% off
Emotion: sadness
Intensity score: | 0.292 | |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @howcaniapply @radioscarboro Much to... | 3: high amount of joy can be inferred | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me... | 0.375 | |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: ♪OLD FISH #discourage
This tweet contains emotions: | anger, disgust, pessimism, sadness | |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: anxiety level- 100
Emotion: fear
Intensity ... | 3: high amount of fear can be inferred | |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: Use your smile to change the world. Don't let the world change your smile.' #quote #actorslife #smile #love #hardworkpaysoff #fun
Emotion: joy
Intensity score: | 0.562 | |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @5SOS I swear I will not go mourn because😭😭💔💔
Em... | 2: moderate amount of sadness can be inferred | |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Long day, kind tweets, our melancholy, @DownFront... | 2: moderate amount of sadness can be inferred | |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: Look at me. Made it through the day without a meltdown. #anxiety
Emotion: fear
Intensity score: | 0.667 | |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @__PeterPanda yes bro it's actually breezy
Emotion: joy
In... | 1: low amount of joy can be inferred | |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: If you really care like you state @flyfrontier @Frontier... | anger, disgust | |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @savageimiike one of my favorite songs brother, real talk.
This tweet contain... | joy, optimism | |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: What if.... the Metro LRT went over t... | joy, surprise | |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: I wonder what would happen if I were to tell some people the truth #savage #uhoh #angry
Emotion: anger
Intensity score: | 0.583 | |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: All hell is breaking loose in Charlott... | 3: high amount of anger can be inferred | |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: @_Briannax33 @TheFunnyVine @MarielaLy... | joy | |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: @AlohaJonathan @AtlantaFX all I've seen is that clip of the jail scene with the sexuality part which was hilarious
Emotion: joy
Intensity score: | 0.542 | |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @JoeFahezy I could of told you t... | anger, disgust, joy, trust | |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Had a great time at Skywalkers open gym tonight! Com... | 3: high amount of joy can be inferred | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Learning to trust God can q... | 0: no sadness can be inferred | |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @p_dortch7 I make sacrifices to make you happy
Emot... | 0: no joy can be inferred | |
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional sta... | 2: moderately positive emotional state can be inferred | |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I had really strange and awful dreams last night. I'd didn't even eat cheese b... | anger, disgust, fear, joy, love, sadness | |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Misery loves company. The church ought to be a place whe... | joy, optimism | |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: @simmy_hanley @Schrise also a... | neutral or no emotion | |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #hangry #day5
Emotion: anger
Intensity... | 0.729 | |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @iamsrk what's up w the gender bias? #indignant This fancypants saddler's dau... | anger, pessimism | |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Being forced into a fake hug by someone who didn’t flinch to get litigious with you in the p... | anger, disgust, fear | |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @emorottie true sonicsatam was serious and a bit ... | 0: no sadness can be inferred | |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: but losing these games are the worst, you end up feeling a mixture of anger and sadness and shame and anxiety and it lasts for days
Intensity score:... | 0.196 | |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including me😑😑😂
Emotion: fear
Intens... | 0.458 | |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: #Partners are willing to #walk alongside you without bei... | joy, love, optimism | |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: @RealPaulWalker R.I.P Paul, furious 8 can't wait
Emotion: anger
Intensity score: | 0.254 | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: Don't let the behavior of others destroy ur inner peace.' -Dalai Lama @OWNTV #healing #depression #intu... | 0.220 | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: Omg I actually thought she was going to jump. #bully #SouthPark20 #southpark
Emotion: fear
Intensity sco... | 0.729 | |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: @JustinRow10 madden is the ... | disgust | |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: And thus begins my 2 week holiday! 😏😏\n#holiday #... | 3: high amount of joy can be inferred | |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: About 7 weeks till I can pick up my camera again. T... | 0: no fear can be inferred | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @_JuliaSteiner : YES ! Righ... | 0: no fear can be inferred | |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: Wish I could convince the rest of my children to go to their fucking preschool and elementary schools with fear of gun violence.
Emotion: fear
Intensity ... | 0.840 | |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Ill say it again. If I was a Black man Id be afraid to leave my house or have ... | sadness | |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Trust me to lose my wallet and have to call Lifeguard & Swimmers social e... | anger, pessimism, surprise, trust | |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: @Lowetide there is no room for jokes in hockey! This is a serious business where we made up teams to fill out the tournament!
Em... | 0.500 | |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: .@SimonNRicketts if you don't know what a p... | 0: no fear can be inferred | |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: Being in the countryside al... | joy | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @ynnsanity Maybe that's why, we're asked to study hard and get a job that we like. That way it wouldn't ... | 0.458 | |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @msdhoni #dhoni bcoz of is calmn... | joy, love | |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: @ReadingFC @EFLCup - remind them 'Twenty's Plenty' #revenge!
Emotion: anger
Intensity score: | 0.438 | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Koishiteruze she was scare... | 2: moderate amount of fear can be inferred | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @HMiglino @CParks777 @Coco_... | 3: high amount of fear can be inferred | |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious
Intensity score: | 0.516 | |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Positive #psychology research shows salespeople who ... | 0: no joy can be inferred | |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotion... | -2: moderately negative emotional state can be inferred | |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Ffs dreadful defending
Emotion: fear
I... | 0: no fear can be inferred | |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @LaneWoolery @FFKazman experience all plays a role ... | 0: no fear can be inferred | |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
Emotion: anger
Intensity score: | 0.625 | |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem
Intensity score: | 0.650 | |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: Im so serious about putting words in my mouth bitch don't add ' the ' to my sentence if I didn't say that shit on bloods
Emotion: sadn... | 0.458 | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I don't get what point is m... | 2: moderate amount of anger can be inferred | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @AskLloydsBank #worst exec ... | 0: no fear can be inferred | |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Having a terrific Tuesday? Crush it today with the ... | 0: no fear can be inferred | |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Dehydrated, exhausted, stressed but still b... | 0: no joy can be inferred | |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @daynutrition @sliqnicq @nytimes I don't listen to ... | 3: high amount of anger can be inferred | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @marcavis @AntisocialJW2 I've always been fiery, but never radical.
Emotion: anger
Intensity score: | 0.438 | |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @crimsonwulfe it's super sad!! Especially when you are talking to a real person and not a bot! Makes it feel real :(
Emotion: sadness
Intensity score: | 0.750 | |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If i could just get my line to block! #germantownbronc... | 2: moderate amount of anger can be inferred | |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @glacierqxeen \n\n'Whoo, welcome... | joy, optimism | |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: This whol... | disgust | |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why is it so windy? So glad I didn't ride my bike. ... | 0: no fear can be inferred | |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: @MannyM83 @DareToReagan oh yeah. I HATE the air raid and I don't like the Oregon/Baylor offense and I'm not a fan of the ole miss one ... | 0.468 | |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Still waiting to see if my @london2012track will make an appearance next week - two months t... | anger, disgust, joy, sadness | |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: What we fear doing most is usually what we most need to do.' ~Tim Ferriss #in... | fear, joy, optimism | |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: @delon03 can you at least just walk past her and break out into laughter
Emotion: joy
Intensity score: | 0.417 | |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @mgcsartwork I nearly started crying... | 3: high amount of fear can be inferred | |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @LmRyle @tomcolicchio @realDonaldTrump @HillaryClinton @ajjaffe I understand your concerns b... | anger, disgust, surprise | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: testing #angry
Emotion: anger
Intensity score: | 0.667 |
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