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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: #BB18 Michelle crying again #shocking #bitter He's just not that into you 😢#TeamNicole
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Look what we have available in store now!!!\n\nLiquid incense for those who can't burn sticks or cones or have smoke in they home!!!!
This tweet contains emotions: | joy |
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: @GroovyBruce @larsrjs44 @AshvsEvilDead the 'groovier' part is an affront to common decency. No way @VancityReynolds agrees.
Emotion: anger
Intensity score: | 0.375 |
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: @ddcl2519 @ABC not nice. Wishing harm on another human being is deplorable. Your comments show how human, and humane you are. #bully
Emotion: fear
Intensity score: | 0.542 |
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: With a very tired body and mind and sparkling teeth I say to all my followers, good night and if there is an apocalypse; good luck. #aspie
Emotion: joy
Intensity score: | 0.417 |
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: @delta correction 26 ppl. Checked in. Standing at the gate. & Flt 1449 took off without us. #furious
This tweet contains emotions: | anger, 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: It's never the end / When the moment is dire. / A small spark of hope / Can relight a new fire.
This tweet contains emotions: | joy, optimism |
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: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #الخفجي
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: @RIPPoohSavage u know ion play that shit bout my weary brother
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @everycolorbot more like every color looks the same #triggered #colorblind #offended
This tweet contains emotions: | anger, disgust, sadness |
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: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness
Emotion: fear
Intensity score: | 0.458 |
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: Obama admin rejects Texas plan to have refugees vetted for terrorism so Texas pulls of of fed refugee resettlement program. Aiding #terror.
Emotion: fear
Intensity score: | 0.475 |
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: both afraid of all the same things
Emotion: fear
Intensity score: | 0.708 |
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: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon
Emotion: joy
Intensity class: | 0: no joy 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: My doctor has taken a liking to poking prodding and drawing blood from me post dad. Over concern is nice but dear gawd needles :O
This tweet contains emotions: | disgust, fear, pessimism |
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: @KodieBurch yesss..apparently you've been popular on snap 🙄
This tweet contains emotions: | anticipation, joy, optimism |
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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming
This tweet contains emotions: | anger, disgust |
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: @RegalisAzura \ngrasp the cobalt woman's own; which they did fairly easily. Fair cheeks would ignite into a fiery hue. Warm.. was the only
This tweet contains emotions: | |
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: @AniahROSE I know smh. My heart sunk into my stomach.
Emotion: sadness
Intensity class: | 3: high amount of 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: @falklands_utd @mauriciomacri \nbecause distrust in life , Argentina has a lot of heart and this President is worth every vote.
Emotion: fear
Intensity class: | 0: no fear 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: @eliroth ya know I love ya man, but #TheGreenInferno really fucked with my head....(giggle)..do it again. #epic #ineedtherapy
This tweet contains emotions: | joy, love |
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: Made my night that @GordonReid91 Reid was included in tonight's hilarity. Some of those points were brilliant. Thanks @andy_murray
This tweet contains emotions: | joy, love, optimism |
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: not near my kitchen so unfortunately I cannot do a cooking snap series 🍳
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: Cover it up with a smile, maybe it'll get better
Emotion: joy
Intensity score: | 0.375 |
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: @MasterTomTheDom I hate winter, I dread it's arrival.
This tweet contains emotions: | anger, disgust, fear, sadness |
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: @amymarsden_wtf I'm as pure as the driven snow after it's been pissed on by multiple rabid dogs
This tweet contains emotions: | anger, disgust, pessimism |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: Yeah, no. I don' mind tweetin' that twice. #blm #likeThat
Intensity score: | 0.500 |
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: @sebbyD27850 both are nonsensical. If there's injustice against blacks, why add to it by destroying black property. It's misdirected anger
This tweet contains emotions: | anger, disgust |
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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #snap #nudes #tits #snapchat
Emotion: anger
Intensity class: | 0: no 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: she's always so insensitive whenever i grieve idgi
Emotion: sadness
Intensity class: | 2: moderate amount of 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: I'd rather laugh with the rarest genius, in beautiful alliance with his own being, where he kept his sadness. #melancholy
Emotion: sadness
Intensity score: | 0.688 |
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 just deleted my save file trying to load it up. Now I have to start. All. Over. Again. I am going to freaking kill someone. Pray for me.
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: 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 class: | 3: high amount of 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: @iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times #anxiety
This tweet contains emotions: | fear |
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: @mgcsartwork I nearly started crying and having a full on panic attack after tatinof bc of the crowds so I feel him
Emotion: fear
Intensity score: | 0.938 |
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: How is your toddler coping with the new arrival? Has he tried killing her yet?' they cheerfully ask.
Emotion: joy
Intensity score: | 0.292 |
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: @gardiner_love : Thank you so much, Gloria! You're so sweet, and thoughtful! You just made my day more joyful! I love you too! 😊💕
Emotion: joy
Intensity class: | 3: high amount of joy 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: @KhaleesiofFood @BB_Updates she has stayed off the block almost all season, got out people that were good for her game, but no one seemed
This tweet contains emotions: | anticipation, disgust |
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: So I went to a different grocery store, and they had no @DukesMayonnaise\nI had to buy Helmann's.\nLiterally shaking right now.
This tweet contains emotions: | anger, disgust |
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: @Mysteri759 @Ren102e906 @slb42jcb @swoozyqyah Well, I'm too old, and too stubborn about facts & history to be discouraged.
Emotion: sadness
Intensity score: | 0.442 |
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: I don't want speak front to him #afraid #intimidate #nopanicattack
Emotion: fear
Intensity score: | 0.875 |
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: T minus 10 hours till I meet with a designer who wants me to model his new fashion line 😬😶 !!!
Emotion: fear
Intensity class: | 1: low amount of 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: Just got back from seeing @GaryDelaney in Burslem. AMAZING!! Face still hurts from laughing so much
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: Watch this amazing live.ly broadcast by @arbitraryvlog #musically
Emotion: joy
Intensity class: | 1: low 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: 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 #unhappy
Emotion: sadness
Intensity class: | 3: high 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: The whole idea f a nation revolves around Kashmir & global terrorism: evrn don't care their kids dying of hunger. #NawazFightsForKashmir
Emotion: fear
Intensity class: | 2: moderate amount of 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: @Thatguy_dree @RecklessWonder_ neither one of y'all can see me in this madden
Emotion: anger
Intensity class: | 0: no anger 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: @carlybigelow13 first you take the room now you wanna beat me up
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: Termination rate is at 22.22% I gotta make some things shake
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: My future must be bright af.
Intensity class: | 1: slightly positive emotional state 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: @diehimbeertonis She developed her 'forced smile'. I can force myself to describe it 'a little hearty maybe, sanki biraz':)
Emotion: joy
Intensity class: | 0: no joy 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 forgot my hair straightner home, I'm feeling lost without it... #lost #lostWithoutMyHairStraightener
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: @JaredWyand Maybe if it was transgender the media would cover it
This tweet contains emotions: | anger, disgust |
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: Life long fear of havin a shit and a spider crawls up ya bum
This tweet contains emotions: | disgust, fear, sadness |
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: @MSNBC @fox @cnn @realDonaldTrump @HillaryClinton. Using fear to state his views. Not getting the facts before making a serious statement???
Emotion: fear
Intensity class: | 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: so ef whichever butt wipe pulled the fire alarm in davis bc I was sound asleep #pissed #upset #tired #sad #tired #hangry ######
Emotion: anger
Intensity score: | 0.771 |
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: This is a terrific university-a unique university..Athabasca University has become a part of my head & a part of my heart' Peter MacKinnon
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: @summar_rose @turehndebushra @_taaz_mania @fxla_ summar one more insult from you and you're gone Idc if you're my dad
Emotion: anger
Intensity class: | 3: high 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: @Singaholic121 Good morning, love! Happy first day of fall. Let's make some awesome #autumnmemories #annabailey
Emotion: joy
Intensity score: | 0.860 |
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: Nothing more entertaining and frightening than a #bitter #alcoholic trying desperately to get your attention.....
Emotion: anger
Intensity score: | 0.479 |
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: At the end of the day I know that my kids will never worry about me leaving them 💕
Emotion: fear
Intensity score: | 0.229 |
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: @JustinTrudeau opened doors to terrorism and he will pay for it. @CP24 @globalnewsto
This tweet contains emotions: | anger, disgust, fear |
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: @antoboyle I so wish you could someday come to Spain with the play, I can't believe I'm not going to see it
Emotion: sadness
Intensity score: | 0.354 |
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: Gaaaaaaaad! Should have stayed in London!
This tweet contains emotions: | anger, disgust, sadness |
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: @lebara - worst possible decision I could have made when arriving in the UK. Shocking service. Poor coverage.
This tweet contains emotions: | anger, disgust, sadness |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: The Quarterback' wrecks me every time.. #glee
Intensity score: | 0.357 |
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: I'm deleting all these social media apps off my phone. I might keep snap chat and insta but I'll never be on it.
This tweet contains emotions: | anger, disgust, optimism, pessimism, sadness |
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: Everybody's worried about stopping #terrorism. Well, there's a really easy way: stop participating in it. - Noam Chomsky
Emotion: fear
Intensity class: | 1: low amount of fear 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: @ChipotleTweets Gabe the worst part is I can't get hot status this month because there's no chipotle near enough to my campus #sadness
This tweet contains emotions: | disgust, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Is it me, or is Ding wearing the look of a man who's just found his arch enemy in bed with his missus? #angryman
Emotion: anger
Intensity score: | 0.557 |
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: the Lord turn his face toward you and give you peace. Numbers 6:26 #truth #trust #promise #calm #justice #great #mighty #protected
This tweet contains emotions: | joy, optimism |
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: Just watched Django Unchained, Other people may frown, but I titter in delight! 2/5
Intensity class: | 1: slightly positive emotional state 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: With a jovial Trump on his ass, Don King just publicly told a crowd that 'We need [him] because you will always be a nigger.' #FuckTrump
Emotion: joy
Intensity score: | 0.104 |
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: @lericoo 35. Do you hold a grudge against your ex?
Emotion: anger
Intensity score: | 0.263 |
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: @Mickeyplyler @QualkTalk the refs are in GT's favor tonight. #terrible
This tweet contains emotions: | anger, anticipation, 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: Maybe I can sleep with my chem book on my head and it will all sink in my brain
This tweet contains emotions: | pessimism |
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: I think our defense here at USC is playing well, we just need to fix a few things on offense and we can win the PAC 12 this year'
This tweet contains emotions: | anticipation, joy, optimism |
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: I'm a shy person
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: @Skepta make sure you's Young breadrins sling us a quick vote #murky #skeng #votage
Emotion: sadness
Intensity class: | 0: no sadness 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: Condolences to the JC and the Georges family.. #sad
Emotion: sadness
Intensity class: | 3: high amount of 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: #WeirdWednesday OKAY! That jump-scared the #Poop out of me right there. Bad dog, BAD! Total code-brown in my favorite pants. #Damnit #horror
This tweet contains emotions: | fear, pessimism |
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: Sometimes The Worst Place You Can Be Is In Your Own Head.'\n\n #quotes #worstenemy #thinktoomuch
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: ...at your age, the heyday in the blood is tame...' @TheArtofCharm #shakespeareaninsults #hamlet #elizabethan #williamshakespeare
Emotion: joy
Intensity score: | 0.260 |
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: @grumpy_pumper I involuntarily smile when you frown in photos. And giggle. How annoying!!
Emotion: sadness
Intensity class: | 0: no 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: Our branch will be closed this Sunday, 9/25, in honor of the IRONMAN 70.3 happening in Downtown! Come cheer on race participants!
Emotion: joy
Intensity score: | 0.604 |
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: @drunkejt almost all of my mutuals intimidated me at some point or still do
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: even walking around with my family members who carry guns makes me nervous and theyre my family....
This tweet contains emotions: | anger, fear, pessimism |
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: @shopgreenwich #ldf16 what shall we do this weekend? #spraypainting in #greenwichmarket with @SNUB23 #core246 #lilylou #fret & #benoakley
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 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: He's seriously so frustrating sometimes! (╯°□°）╯︵ ┻━┻ #ugh #raging
Intensity class: | -3: very negative 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: #Pain is an aspect of #human evolution; the evolution of #consciousness. #attachments #desire #apathy #sentimentality #tears #O
Emotion: anger
Intensity score: | 0.479 |
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: #smile every morning to a positive head start with your #clients relations
Emotion: joy
Intensity score: | 0.562 |
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: @MendipHillsAONB do we think the swallows and swifts have gone? Photo'd 3 nights ago, not seen since. #Autumn
This tweet contains emotions: | fear, joy, sadness, surprise |
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: @Just_Alasia I agree. Btw, have u seen Ep22, Granger, O? That was the episode when I knew Anna was coming back, the conversation at start.
This tweet contains emotions: | anticipation, optimism, surprise |
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: Playing at September 21, 2016 at 09:30PM: Demetria Taylor #blues
This tweet contains emotions: | |
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: Is there a perfume that smells like the smell of smokey incense because i would be all about that
Emotion: anger
Intensity score: | 0.096 |
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: Thoroughly enjoying AHS tonight. #ahs #americanhorrorstory
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: Why does Candice constantly pout #GBBO 💄😒
Emotion: anger
Intensity class: | 0: no 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: Really planned on making videos this week. Then. A tv died, phone broke, truck died, #depression took over. I'm wondering what I did 2 karma
This tweet contains emotions: | 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: Like hello? I am your first born you must always laugh at my jokes. #offended
Emotion: anger
Intensity score: | 0.562 |
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: @TheVulcanSalute , just saw the Save The Day PSA. Why were you in obvious tears doing it? I'd have thought you'd be your cheerful self.
This tweet contains emotions: | sadness |
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