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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: there’s shaytan in this room wallahi its been dark all the time now the lamp is on!! omg shaytan
Emotion: sadness
Intensity score: | 0.333 |
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: I love my family so much #lucky #grateful #smartassfamily #hilarious #love
Emotion: joy
Intensity class: | 3: high amount of joy 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: @JoaquinPutoAmo vas a ir al de the amaity affliction?
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Miss my lil caramel delight 💓
Emotion: joy
Intensity score: | 0.440 |
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: @baileygazteacow NO. The gay guy and the dad revenge fucking
Emotion: anger
Intensity score: | 0.583 |
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: @NahteWilly @AFP that was neither intelligent, definitive or useful shall I name call or would you like to expand on how I have offend you ?
Emotion: anger
Intensity class: | 1: low 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: “Worry is a down payment on a problem you may never have'. Joyce Meyer. #motivation #leadership #worry
This tweet contains emotions: | anticipation, optimism, trust |
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: So unbelievably discouraged with music as of late. Incredibly behind on Completing my album. Not digging this at all.
Emotion: sadness
Intensity score: | 0.604 |
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: @Bietron 🤓 dont be sad.. btw good night davina..go sleep larh..
Emotion: sadness
Intensity score: | 0.333 |
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: The man who is a pessimist before 48 knows too much; if he is an optimist after it, he knows too little.'\n-Mark Twain
This tweet contains emotions: | optimism, pessimism, trust |
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: After Nawaz Sharif's speech on terrorism, Kejriwal is expected to talk on Governance.
Emotion: fear
Intensity class: | 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: @F1abraham holy shit...what the hell happened to your lips!! Fix that shit! #mtv #teenmom #horrible
This tweet contains emotions: | anger, 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: God we need a new goal keeper! They’re both horrific.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: @pianimadi regarde tes snap
Emotion: anger
Intensity class: | 0: no anger 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: Swear to God don't get a smart meter from your power company, 8 months of daft bills, 6 visits from British Gas #stressed
Emotion: fear
Intensity score: | 0.625 |
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: Tremor!!!\n
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: I found #marmite in Australia. `:) #happy
Intensity class: | 3: very positive emotional state can be inferred |
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: @feistyarcher -trouble,' he feigned anger and gave her a look that told her to behave. He knew she wouldn't though, and that was one of -
Emotion: anger
Intensity score: | 0.417 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @SimplyMayaMarie @STILLStanding_B 😂😂😂 y'all know I'm crazy its just shocking that's all
Intensity score: | 0.645 |
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: So unbelievably discouraged with music as of late. Incredibly behind on Completing my album. Not digging this at all.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: 3:45am and off to the hospital! Elouise's waters have gone! #Labour #LittleSister #superexcited
Intensity class: | 3: very positive emotional state 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: @EricNobody @ArmouredSkeptic @YouTube This shit is gonna start a cold war of who can flag who first.
Emotion: fear
Intensity score: | 0.400 |
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: @X_KIMTAEHYUNG_X \n— momentarily before it disappeared, only solemnity and anxiety lacing his features. \n\n'I ran out to get you before —
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @leighsteinberg April 25th, 2010 for me. Keep up the good work!! #sober #prouder
Emotion: sadness
Intensity class: | 0: no sadness 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: I'm not sure if burning and looting really can positively impact a community
This tweet contains emotions: | anger, disgust, 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: @headfirst_dom I often imagine hoe our moon would feel meeting the jovial moons which are all special
Emotion: joy
Intensity score: | 0.500 |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny
Intensity score: | 0.758 |
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: If someone keeps #laughing at you, don't #fret . At least u r giving #happiness .'\n#quotes #quotestoliveby
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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: Being alone is better than being lonely. Know what is worse than being lonely? Being empty; that's right!\n #Loneliness #aloneinthecity
This tweet contains emotions: | disgust, pessimism, sadness |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @SteveBryantArt I was pretty sure it was a Golden Ticket. Get a tour. Make a mistake. Something horrific will happen to you. Good day sir.
Intensity class: | 0: neutral or mixed emotional state 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: @howcaniapply @radioscarboro Much to my delight!
This tweet contains emotions: | joy, optimism |
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: .@Travelanswerman: B assured there is plenty of salt 2 keep that #fire #burning brightly! Stay #happy N life by keeping plenty #salty… …
This tweet contains emotions: | anticipation, joy, optimism |
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: It's about time I start taking my own advice
Emotion: fear
Intensity class: | 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: like srsly somebody help me deal with this social anxiety
Emotion: fear
Intensity class: | 3: high amount of 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: Half of Epicenter is shut down its police all over y'all I just burst out in tears this is fucking terrible #KeithLamontScott
Emotion: anger
Intensity score: | 0.625 |
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: @MSNBC @fox @cnn @realDonaldTrump @HillaryClinton. Using fear to state his views. Not getting the facts before making a serious statement???
This tweet contains emotions: | anger, disgust, fear, pessimism |
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: The difference between someone's selfies when they're happy vs. unhappy is absolutely amazing.
Emotion: sadness
Intensity score: | 0.208 |
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: I keep feeling the heaviness on my left hand and look down and I am in awe every single time 😍💍 #notusedtoit #imafiancée #wut
Emotion: sadness
Intensity score: | 0.208 |
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: Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do
This tweet contains emotions: | fear, sadness |
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: your outrage (your tweets, your jokes, your attention) is *exactly* what M*lo wants\n\n(this is not meant as a defense)
Emotion: anger
Intensity score: | 0.438 |
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: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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: So Mary Berry, Mel and Sue have gone with their principles, and @PaulHollywood has gone with the fame and fortune. #GBBO #depressing
Emotion: sadness
Intensity score: | 0.750 |
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: when you find out the initiative isn't even a thing 😧 #revenge
This tweet contains emotions: | anger, disgust |
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: @cassidyyy_0 literally Nicole already had her chance and she played shitty both seasons.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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: Winner #Champion #school #lastyear #gouniversity #university #me #dark #Black #webstagram #blackandwhite
Emotion: sadness
Intensity score: | 0.208 |
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: Knowing how to cook is invaluable, what's even better is that even in a 400 sq ft place, I have wide and hearty homestyle egg noodles.
This tweet contains emotions: | joy |
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: @urbaneprofessor roast them. Then risotto with sage and pine nuts
Emotion: sadness
Intensity score: | 0.167 |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Benefit out exhilaration called online backing off: JkUVmvQXY
Intensity class: | 1: slightly positive emotional state 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: #rocklandcounty get to ravis in suffern, ny. Great food, new #chef, terrific atmosphere. Say 'twitter' to server and get free #appetizer
Emotion: fear
Intensity score: | 0.125 |
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: @DumTeeDum don't think Ian knew of Pavel. He knew about Charlie. I bet Rob will cackle with glee when he heard what has happened #thearchers
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: bout to read this article 'Moving the Conversation Forward: Homosexuality & Christianity' from someone in the foursquare church #nervous
This tweet contains emotions: | anticipation, fear |
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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18 #anxiety
Emotion: fear
Intensity class: | 0: no fear 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: @UnknownAndYoung — a low growl escaping him. Oh oh.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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: Common app just randomly logged me out as I was writing the last part of my college essay and lost all of it 😭😭😭
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: why is @Iongroadhome so aesthetically pleasing every single day they're even pretty when they just woke up, when they're tired, just. always
Emotion: joy
Intensity score: | 0.375 |
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: Yo gurls Dm for a tribute 😜💦 #snapme #dm #nudes #tribute #cumtribute #cock #cum #swallow
Emotion: anger
Intensity score: | 0.479 |
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: I'm so excited to see Nat tonight 😍😍.. And how happy and cheery she is! & then I'm even more excited for her to get on social media 😍 #BB18
This tweet contains emotions: | joy, love, optimism |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @715d1\nI bought the Steam port of Vice City, and to my delight Billie Jean is on the soundtrack!
Intensity score: | 0.732 |
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: @ksmitely @CitizenMeh I feel strongly that we need to work together to right this dreadful wrong.
This tweet contains emotions: | joy, optimism, 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: Food that gets delivered 😍🙌🏻
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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: Instagram seriously sort your sh*t out. I spent ages writing that caption for you to delete it and not post it!! #instagram
Emotion: anger
Intensity class: | 3: high amount of anger 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: you know it's beauty when the smile is her best curve
This tweet contains emotions: | joy, love, optimism, trust |
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). | Tweet: Synth backing tracks = sadness\n#depresspop #dark #+++ #alt #fuckingmeup
Intensity score: | 0.210 |
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: November #canola lost $5.50 to $464.20 per tonne.
Emotion: sadness
Intensity score: | 0.479 |
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @EE your website is making me feel violent rage and your upgrade options aren't helping either. #Aaaaarrrrgghhh #iwanttocancel #rage
Intensity class: | -3: very negative emotional state can be inferred |
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: What we fear doing most is usually what we most need to do.' ~Tim Ferriss #inspiring #inspired #motivation #fear #success #hustle
Emotion: fear
Intensity class: | 0: no fear 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: @greencapt there's something to note in the fact that the mask manufacturer produced her smiling and him frowning.
This tweet contains emotions: | joy, optimism, pessimism, surprise |
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: @BenLeubsdorf @DykstraDame @WSJ idiots are going to sink the economy with free money policies.
Emotion: sadness
Intensity class: | 0: no sadness 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: @bobcesca_go @sesmithesq \nDidn't Florida 2000 teach you anything? I live here in Palm Beach County and lived through that nightmare.
Emotion: fear
Intensity score: | 0.604 |
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: @mandyjohnson I'll be honest.. I hope that annoying Southern bint with the 'look at me' pout goes out this week! Selasi #FTW
Emotion: anger
Intensity class: | 3: high amount of anger 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: @stephenfhayes Mustard gas = hostile work environment, not #terrorism; call #OSHA not #military
Emotion: fear
Intensity score: | 0.708 |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: @marthalyssa yep. LOL
Intensity score: | 0.844 |
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: @CesarSampao @thisisbolton don't get me started on town centre. Used to go every week.... not been for 18 months
Emotion: fear
Intensity score: | 0.458 |
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: @virginmedia I've been disconnected whilst on holiday 😤 but I don't move house until the 1st October 🤔
Emotion: anger
Intensity score: | 0.396 |
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: @seangrandillo I beg you, never stop smiling. You deserve to be happy and to know all the beautiful things that life can offers.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @Author_LB Awesome. My 9 yr old grandson runs cross country. No Simon Whitfield but still a lot of fun cheering him on.
Emotion: joy
Intensity score: | 0.780 |
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: @gayla_weeks1 I try not to let my anger seep into reviews, but I resent having my time wasted on books like that. Time is precious.
This tweet contains emotions: | anger, disgust |
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: Did you know I specialise in #anxiety and #panic attacks? Get in touch for all of my solutions for you. #Coventry
Emotion: fear
Intensity class: | 0: no 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: The Car' (1977)\nA middle of the road #horror film that in the hands of a better filmmaker could've been a hell of a lot better. 5/10
This tweet contains emotions: | disgust, fear |
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: @rawhidevelvet No offense, but isn't it a little late to be getting a radio broadcast degree? Isn't that going to be over in a decade or 2?
Emotion: anger
Intensity score: | 0.325 |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @russbully Ended up paying 75p for half a tube of smarties. Don't even get the pleasure of popping the plastic lid off either
Emotion: anger
Intensity score: | 0.396 |
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: Was going to get a new #horror movie #tattoo tonight, but my artist flaked out on me for the 3rd time & said he was done tattooing!
Emotion: fear
Intensity class: | 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: When you burst out crying alone and u realize that no one truly knows how unhappy you really are because you don't want anyone to know
Emotion: sadness
Intensity score: | 0.812 |
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @_Mrs_Peel @lp_lisa @PaulRGoulden @LisaLuscious Might be the pout of a star baker tho !
Intensity class: | 0: neutral or mixed emotional state 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: what to wear Friday \nspeaking in front of 100's. #nervous
Emotion: fear
Intensity class: | 3: high amount of 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: We floated like butterflies. Now you sting like bees!'
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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: It's not that the man did not know how to juggle, he just didn't have the balls to do it. \n #funny #pun #punny #lol
Emotion: joy
Intensity score: | 0.604 |
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: its so unfortunate that after all these years im still struggling with depression smh
This tweet contains emotions: | 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: If you really care like you state @flyfrontier @FrontierCare then I would seriously address sensitivity training to your employees
Emotion: fear
Intensity score: | 0.354 |
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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #ChrisBrown #TeamBreezy
Emotion: joy
Intensity score: | 0.288 |
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: @SquishyJiminie aww thank you!! I'm definitely feeling much better today and your messages cheer me up too ☺️
Emotion: joy
Intensity score: | 0.688 |
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: My cat is bloody lucky the RSPCA weren't open at 3am last night!!! #fuming 😡🐱
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @gingermckchav @MichCorsilles @ArevaMartin @HarvardBLSA @ShareblueMedia Apparently nothing like the terror cops have of black people.
Emotion: fear
Intensity score: | 0.729 |
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: #ThisIsUs has messed with my mind & now I'm anticipating the next episode with #apprehension & #delight! #isthereahelplineforthis
Emotion: joy
Intensity score: | 0.404 |
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: @NandosSA just received order from @OrderInSA & the chips are under cooked & half raw!!! Usually best part of the meal #notcool #terrible
This tweet contains emotions: | anger, disgust, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Can't start a good day without a cup of tea! \n\n#tea #start #day #goodday
Emotion: fear
Intensity score: | 0.104 |
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: He accusd India of HR violations in Kashmir BUT refusd to name India's role in fomenting terror in Pakistan through TTP, BLA & MQM.shame #ZH
This tweet contains emotions: | anger, disgust, sadness, 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: #burning the last of @Yan
Emotion: anger
Intensity score: | 0.356 |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #gratitude #HARDwork
Emotion: fear
Intensity score: | 0.123 |
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: @wiIdfuI we have the same age and you're 1000 times more beautiful than me! #sad 😂
This tweet contains emotions: | pessimism, sadness |
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