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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: @thehill George H. Establishment is unhappy Trump's campaign branded his son low-energy, but he could not have beaten the others either.
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: We floated like butterflies. Now you sting like bees!'
Emotion: anger
Intensity score: | 0.271 |
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: Nasty nasty chilly rain has put a damper on my afternoon cigar. This is NOT a good thing. @cspanwj And FOUR #CongressCritters tomorrow?
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Having a nail half hanging off is absolutely fucking grim, even with my acrylic holding it on 😷😷
Emotion: sadness
Intensity score: | 0.604 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @crumpledlinen he chirp
Intensity score: | 0.569 |
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: Had a coworker look at her phone and say, cheerfully, 'oh look, Kap's getting death threats now.' 🙄. Then she goes to say the 49ers are
Emotion: joy
Intensity class: | 0: no joy 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: also i had an awful nightmare involving being sick where worms were involved i was so disgusted when i woke up
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels 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: the ending of how I met your mother is dreadful
Intensity class: | -2: moderately negative emotional state 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: Ugh I want to punch a wall every time I have to use @windows 10. Literally the worst product ever made #windows10 #awful #killme
Emotion: fear
Intensity class: | 0: no fear 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: We Are Source!!\n\n#mindset #philosophy #thoughtsbecomethings #news #lifehacks #fear #you #LIFE #PleaseRT #ProblemSolving
This tweet contains emotions: | fear, joy, optimism |
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: Only God knows why things happen, sometimes it's just hard to understand. #prayingforyou
Emotion: sadness
Intensity class: | 2: moderate 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: We ashamed of being an ally to you. Pakistan sacrificed almost 50000 civilians by siding you in war on #terror @JudgeTedPoe
Emotion: fear
Intensity score: | 0.667 |
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: @LeahSKahn honestly. All I care about is Selasi not messing this up. His lackadaisical attitude isn't good for danishes.
Emotion: sadness
Intensity score: | 0.396 |
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: Can't start a good day without a cup of tea! \n\n#tea #start #day #goodday
Emotion: fear
Intensity score: | 0.104 |
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: @Relaqss I know she did horrible shit, but it wouldn't make anything better in the end, but your choice
Emotion: fear
Intensity score: | 0.542 |
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: I had a panic attack when I couldn't find @katrinalaw on #Twitter Turns out my Twitter is a jerk. I can still see her. #NyssaAlghul
Emotion: fear
Intensity score: | 0.688 |
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: @Conorojo Loool understand the pessimism but it will 😂
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: @EurekaForbes U got to b kidding me. Anu from your firm responded when I sent the contact details. #customerexperience
Emotion: fear
Intensity score: | 0.417 |
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: Lets start there
Emotion: fear
Intensity score: | 0.125 |
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: Currently listening to @ScottFoxonair & @KatCallaghan @Z1035Toronto podcasts!! Can you guys please move to #yvr ? #hilarious #missyou
This tweet contains emotions: | joy, love |
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: @Bell @Bell_Support Cancelling home Fibe, Internet and TV this afternoon - as soon as I can arrange alternate Internet. 2/2 #fedup
This tweet contains emotions: | anger, disgust, sadness |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @RiotzXVl papercuts sting and stub ur toe last for like 10 secs
Intensity score: | 0.482 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I can't believe @HoustonTexans can't put up even 3 points on @Patriots #horrible #hugeletdown
Emotion: fear
Intensity score: | 0.438 |
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: np rum rage
This tweet contains emotions: | anger, disgust |
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: @reinervshunter you got this💙 #staystrong #yourebeautiful
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @FJHobson @Beaker126 @Biastai how would you suggest we profile to stop right wing terror
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: The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #awe #gratitude #HARDwork
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: On my life I'll never understand why anyone would pay money to see @LifeOfDesiigner #terrible
Emotion: fear
Intensity class: | 0: no fear 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: 75' Tierney reaches a deep cross to the back post and plays it back across but the Alloa defence clear. Celtic relentless here.
Emotion: anger
Intensity class: | 1: low amount of 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: me taking a picture by myself: *awkward smile*\nme on picture day: *awkward smile*\nconclusion: stop smiling ;'(\n #pictureday2016 #ornot
Emotion: joy
Intensity score: | 0.460 |
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: Just watched Django Unchained, Other people may frown, but I titter in delight! 2/5
Emotion: sadness
Intensity class: | 0: no 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: @Blancalanka96 thought it'd be fun and it is not fun but on the bright side I don't have to fight for parking
Intensity class: | 0: neutral or mixed emotional state 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: @josefcd904 @Reddou_Kun @deven_luca @supersoniclemon He also likes incurring Lily's wrath.
Emotion: anger
Intensity class: | 0: no anger 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: @harrietemmett great minds think alike. #rejoice
This tweet contains emotions: | joy, love, 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: It's about time I start taking my own advice
This tweet contains emotions: | 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: Those were the times, I thought I can never be sober. But still His grace are beyond my limits 🙏🏾
Emotion: sadness
Intensity class: | 0: no 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: @jwonder81 @MacadamionNut well of course.Progress for the sake of progress must be discouraged. The problem is the substance of the rhetoric
Emotion: sadness
Intensity class: | 0: no 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: Did you know I specialise in #anxiety and #panic attacks? Get in touch for all of my solutions for you. #Coventry
Emotion: fear
Intensity score: | 0.396 |
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: What if.... the Metro LRT went over the Walterdale?!?! 😂 #yeg #levity
Emotion: joy
Intensity class: | 1: low amount of joy 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: Learning how to use twitter #lost
Emotion: sadness
Intensity score: | 0.354 |
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: @joey_coops yes Hun! Avoid at all costs!! #nightmare
Emotion: fear
Intensity score: | 0.667 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: My encouragement today is my dog while my head is in a fog. #epicfail #feelingfedup #tired #ihaveheardeverything #wondering
Emotion: sadness
Intensity score: | 0.646 |
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: Everton not playing and fume on here have day off
Emotion: anger
Intensity score: | 0.646 |
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: jimmy_dore: RaisingTheBoss we've already lost our country and our government to oligarchs, but their fear tactics still work it appears.
Emotion: fear
Intensity score: | 0.646 |
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: @LiamJamesVernon love the optimism!! BLUE MOON!
Intensity score: | 0.701 |
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: If I spend even 5 minutes with you and you already irritate me I seriously will bitch you out until you shut up
Emotion: anger
Intensity class: | 3: high amount of anger 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: Thank you @twitter for the balloons today. #smile #goodday #48
This tweet contains emotions: | joy, love |
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: My irritation level is at an all time high today 🙃
Emotion: anger
Intensity class: | 3: high 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: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #challenge #kashmir #baloch
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @sportinglifecan I keep a down vest or sweater in my pack year round! Helps on chilly mornings or breezy mountain tops! #mysportinglife
Emotion: joy
Intensity score: | 0.520 |
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: smh customers getting angry at me bc i aint got no marlboro lights in the gas hut. i called them in 2 hours ago, fuck you.
Emotion: anger
Intensity class: | 3: high amount of anger 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: @SunandBeachBum 'you people' infuriate me!
This tweet contains emotions: | anger, disgust, sadness |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: Hope was an instinct only the reasoning human mind could kill. An animal never knew despair.
Intensity score: | 0.417 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: When a grown adult doesn't drink or has never drank before I just assume they were raised around a raging alcoholic and they want no parts.
Emotion: anger
Intensity score: | 0.333 |
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: @Spotted_H0rse I'm spry, though
Emotion: joy
Intensity score: | 0.260 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: We express our deep concern about the suspension of @MohammedSomaa01 please reactivate it. he never violated T.roles @Support
Emotion: fear
Intensity score: | 0.500 |
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: @Corsair those sparkling looks like a gay vampire 😁
Emotion: joy
Intensity score: | 0.480 |
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: Worry makes you look at the problem and God makes you look at the promise. #problem #promise #worry #fear #faith #God #theanswer #spiritu...
Emotion: fear
Intensity score: | 0.340 |
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: My friends tell me I'm pretty. Trigger tells my I'm ugly. I first was confused but then realised I'm both. Pretty ugly. #tru #sad #tumblr
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: some say my lover is a pale green light\nhe hovers high where the moon shines bright
Emotion: joy
Intensity score: | 0.420 |
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: If you #invest in my new #film I will stop asking you to invest in my new film. #concessions #crime #shortsightedness #celebrities
Emotion: fear
Intensity class: | 0: no fear 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: Looks like I'm going in for my op just over a week or so early! #nervous 🙈🙈🙈
Emotion: fear
Intensity score: | 0.833 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: When's it all finished, you will discover that it was never random! #thoughts #restless #CrossoverLife
Emotion: fear
Intensity score: | 0.420 |
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: That free kick from Rooney was awful
This tweet contains emotions: | anger, disgust, sadness |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Thank you @twitter for the balloons today. #goodday #48
Intensity score: | 0.786 |
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: @mikefreemanNFL \nIsn't OBrien supposed to be some sort of offensive genius
Emotion: fear
Intensity score: | 0.167 |
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: Zeph 3:17 'The Lord...is in your midst, a mighty one who will save; He will rejoice over you with gladness; He will quiet you by his love'
Emotion: joy
Intensity score: | 0.660 |
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: Dolores.' A thin lipped smile graced glossed lips as she let blues peer over at the woman. ' A constant delight.. As always.'
Intensity class: | 0: neutral or mixed emotional state 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: @LoyalLadyMalfoy <• change them himself. He follows behind with a scowl pinching his lips and takes the sheets to his room. 'So who is •>
Emotion: anger
Intensity score: | 0.361 |
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: @LoriAlan1 Seriously. Digging those eyebrows. #animated
Emotion: joy
Intensity class: | 1: low amount of joy 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: Heading home to cut grass in the heat. All I wanna do is go out to eat somewhere air conditioned. #pout #AdultingIsTheWorst
This tweet contains emotions: | anger, disgust, joy |
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: @SquishyJiminie aww thank you!! I'm definitely feeling much better today and your messages cheer me up too ☺️
Intensity class: | 2: moderately 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: Nobody wants a grouch but DONT move to SD if you want to be a rapper. #serious
Emotion: sadness
Intensity score: | 0.375 |
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: @jordan_grimmer If that's messin I can't wait to see #serious !! Brilliant stuff
This tweet contains emotions: | joy, optimism |
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: “Dyslexia is the affliction of a frozen genius.”― Stephen Richards
Emotion: sadness
Intensity class: | 0: no sadness 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: Got a $20 tip from a drunk Uber passenger. Today I get a $25 parking ticket. I'd blame karma but my dumb ass forgot to pay the meter. #rage
This tweet contains emotions: | anger, disgust, sadness |
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: laughter is such a powerful thing and everybody deserves to laugh, if u like shitty romcoms and get a giggle outta planet uranus, power to u
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @residentadvisor thanks for getting back to me, exemplary customer service for a loyal customer #jk #awful #residentadvisor #poorservice
Emotion: fear
Intensity class: | 0: no fear 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: @WunderlistHelp are you guys still down? When can we go up?
Emotion: fear
Intensity class: | 0: no fear 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: I need a syfy series to watch I literally have nothing to watch back to back. I already watched #heroes #lost #jericho #fallenskies etc etc
Emotion: sadness
Intensity class: | 0: no sadness 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: @macmacm43 jeezus God #dark
Emotion: sadness
Intensity score: | 0.460 |
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: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
This tweet contains emotions: | disgust, 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: @Aamnaa___ @drkarthik_n your per capita income is almost same like us. Gini Coefficient is very dismal. Ambitions are high but output Zero.
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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: @CohenDS Yell, 'Bye, garbage!' cheerfully after it.
Emotion: joy
Intensity score: | 0.360 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Why a puerto Rican with Taino hair and a black nose gotta ruffle your targeted feathers?
Emotion: anger
Intensity score: | 0.500 |
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: When ya'll talkin about you know who I don't know who ya'll talkin bout, I'm on the new shit....chuckin up ma deuces......🔥🔥 #kanye
Emotion: joy
Intensity score: | 0.231 |
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: Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory!
This tweet contains emotions: | joy |
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: Please bear with me, I'm not Twitter savvy😝 in real life I'm a Facebook person. Help me gain followers 🤓#blog #selfhelp #depression
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: I get so much PUSSY\nP - panic attacks \nU - uncontrollable anxiety \nS - suicidal fantasies \nS - sadness \nY - yearning for death
Emotion: sadness
Intensity class: | 3: high 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: @_BlueCouture The hilarity of you people not realising that racism is racism regardless of whether one uses choice words is hilarious.
Emotion: joy
Intensity score: | 0.271 |
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: 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
Intensity class: | -3: very negative emotional state can be inferred |
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 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: It take so little to make a child's life joyful, why do we work so hard to make their lives hell? @MiddleEastEye Peace
Intensity class: | 0: neutral or mixed emotional state 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: @BigDaddyx47 awe I'm sorry! I have 2 dogs 3 cats & a snake
This tweet contains emotions: | disgust, joy, sadness |
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: I'm the reason I smile everyday 💯
Emotion: joy
Intensity score: | 0.780 |
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: Now that the whole clown rage has scared me shitless, I'm gonna go cry in my room
Emotion: anger
Intensity class: | 3: high amount of anger 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: I think they may be #offended
This tweet contains emotions: | anticipation |
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: #Awareness seek #shelter .#Letgo Old #habit of chasing #desires resultin in #anger #fear #worry .#Choose #Satisfaction within #Peace #Relax
This tweet contains emotions: | anger, fear, 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: All clouded out.\n\n Considering using a camera, 1) star trails 2) eyepiece projection.
This tweet contains emotions: | anticipation, joy, optimism |
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: How is your toddler coping with the new arrival? Has he tried killing her yet?' they cheerfully ask.
This tweet contains emotions: | |
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: It's now September and we're still battling a situation that was said to be handled March of this year. @ATT this is unacceptable
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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