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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: False alarm, she's not coming out today 😞
This tweet contains emotions: | sadness |
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: One of the great/horrible moments as a professor is seeing a wonderful student leaving your university to pursue his/her true passion.
Intensity score: | 0.367 |
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: @govph I would like to know about the source of The President's optimism about running the country. I wonder if he can answer my curiosity.
Intensity score: | 0.355 |
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: @ColinOccupantz @JasnaBadzak @proremain and there was I thinking #UKIP were a party of angry old men - how wrong can you be!
Emotion: anger
Intensity score: | 0.583 |
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: If you truly want more of God in your life, it requires letting go of some of the old things, to allow new things to flourish. #stop #start
Emotion: fear
Intensity score: | 0.271 |
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: May a man live well-, and long-enough, to leave many joyful widows behind him.
Intensity class: | 0: neutral or mixed emotional state 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: @jaimeotero_ how about saying something like 'if you're concerned about privacy use it only in incognito mode'. #alarmist
This tweet contains emotions: | anticipation, trust |
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: 'When is it going to be that we start to define our own art?' Black music's relationship with literary tradition at Across Cultures #Mix2017
This tweet contains emotions: | anticipation, optimism |
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: #Pain is an aspect of #human evolution; the evolution of #consciousness. #attachments #desire #apathy #sentimentality #tears #fury #anger #O
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @DSDambuster just finally started #homefronttherevolution, what did you all do the story and gameplay??? #terrible #wasteofmoney
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: That feeling you get when you know the information but scared you might do bad on a test #collegelife #nervous 😥😥
Emotion: fear
Intensity class: | 3: high amount of 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: I would just give her with their naked body. #afraid
Emotion: fear
Intensity score: | 0.688 |
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: Losing to Villa...'@M0tivati0nQuote: Most of the things people worry about are things that won't even matter to them a few months from now.'
Emotion: fear
Intensity class: | 0: no fear 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: @ChurdAllan fucked my coupon that goal!
Intensity class: | -1: slightly negative 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: Boys Dm me pictures of your cocks! The best one will get uploaded! ☺️💦💦 #Cumtribute #dm #snapchat #snapme #nudes #dickpic #cocktribute
Emotion: anger
Intensity score: | 0.396 |
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: If my luck the rest of Fall goes anything like today, I think I'm going to like this season. #bestdayever #magic #work #snap
Emotion: anger
Intensity score: | 0.271 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @danisnotonfire you made me cry and shake to the point where my parents had to calm me down and give me calming tablets...
Intensity score: | 0.210 |
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: Mood : Happy 🙂 #blessing
Intensity score: | 0.879 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @lennyabrahamson May I send you a copy of #HeroTheGreyhound? Either e-book or real paper one! A boy and a greyhound #smiles #tears
Intensity score: | 0.677 |
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: @Delta stuck on runway after being diverted to Fargo. Continuously told just 10 more mins for the past 4 hours. No food/water offered
Emotion: fear
Intensity score: | 0.521 |
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: @byunsolo I DIDN'T ASK FOR THIS EITHER IT JUST HAPPENED 😤
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @JuliaHB1 Bloody right
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: Boys of Fall makes me miss cheering on Friday nights much sooooo bad #bulldogslways🐾
This tweet contains emotions: | sadness |
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 3: very positive 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 cant live anymore my roblox got termianted :(((((((((((((((((((((((( #sad #killme #lol #robloxgamer
Intensity class: | -3: very negative emotional state can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @TheOnlySweeney their slogan should've been #start instead of #finish
This tweet contains emotions: | |
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: @WunderlistHelp are you guys still down? When can we go up?
This tweet contains emotions: | anticipation |
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: Yay bmth canceled Melbourne show fanfuckingtastic just lost a days pay and hotel fees not happy atm #sad
Emotion: anger
Intensity score: | 0.562 |
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: In ever use to like smiling until I realized how good my teeth look ... Witout the braces
This tweet contains emotions: | joy, optimism |
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: ESPN just assumed I wanted their free magazines #offended
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @NRO @Acosta @CNN @realDonaldTrump remember when NRO gave CNN grief about their relentless HC email crusade? me either.
Emotion: anger
Intensity score: | 0.500 |
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: Go one extra mile just see her smiling
Emotion: joy
Intensity score: | 0.640 |
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 get soooo nervous when an actually attractive guy tries to talk to me in person. Like 9/10 I turn him down just from habit 😭
This tweet contains emotions: | fear, sadness |
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: @punjabified porkistan lost terribly in 65 because of american intervation to talk we stopped
Emotion: sadness
Intensity class: | 1: low amount of 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: Hey no turn over after a kick - way to go Texans! Way to go! #Texans #noheart
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: A @FirstBSA not turning up? Why am I not surprised. Late for work again!
Intensity score: | 0.391 |
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: PM nawaz sharif adressed in uno produced mirth among kashmires well done pak wel done nawaz .we want demilterization
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: ima kitchen sink
This tweet contains emotions: | disgust, pessimism, 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: In ever use to like smiling until I realized how good my teeth look ... Witout the braces
Emotion: joy
Intensity score: | 0.613 |
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: @LindaStein1 Me too,I really hope the writers decide to give us an return to McDanno we all love w/o resentment & animosity fingers crossed
This tweet contains emotions: | fear, optimism |
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: chirp chirp! what a beautiful white and red bird! 🐦
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: #Pakistan is ‘terrorist state’, carries out #war crimes: #India to @UN.\n #UNGA #UN
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: @essdotX the jovial and forgiving negro is always pressed upon to act against his/her self-interest in favor of the oppressor
Emotion: joy
Intensity score: | 0.090 |
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: @SurfaceSupport A profoundly disappointing experience. I have 2 pay almost $500 2 remedy a defect n the product @Microsoft sold me #terrible
Intensity score: | 0.161 |
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: @yungdoujin wouldn't that basically be sparkling water
Emotion: joy
Intensity score: | 0.320 |
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: Idk why people be glorifying depression. I wouldn't wish real depression upon my worst enemy. Shits the worst stop acting like it's cool
Emotion: sadness
Intensity score: | 0.828 |
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 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: 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: How's it possible to go from cheery earlier to the worst mood possible now🙄
Emotion: joy
Intensity score: | 0.020 |
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: @marthalyssa yep. LOL
Emotion: anger
Intensity score: | 0.438 |
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: People too weak to follow their own dreams will always find a way to discourage yours.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @rachelkennedy84 @callummay @Ned_Donovan @JeyyLowe @jimwaterson @dats Can it do the bell ringing and incense at consecration?
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: I need a transcript of trump praying. #terrific Jesus.
This tweet contains emotions: | disgust |
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: the teams that face Barca and Bayern after a defeat are the ones who face the wrath
Emotion: anger
Intensity score: | 0.458 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @BeautinaSuit No need to thank me.. I'm just telling it like it is 😊 Hope you have a great day too! 😃
This tweet contains emotions: | joy, optimism |
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: Conflicting scents in the house of cinnamon sponge cooling and tamarillo chutney cooking. #sweet #spicy #homemade #delicious
Emotion: joy
Intensity score: | 0.478 |
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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #ChrisBrown #TeamBreezy
Intensity class: | 0: neutral or mixed 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: #CNN really needs to get out of the #Propaganda Business.. 30 seconds on USN fallen Soldiers tragedy. Right back at spewing #hatred #POTUS
Emotion: anger
Intensity score: | 0.641 |
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: 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: 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: From what I know of the man, I have to assume that @realDonaldTrump has had a heated argument with his own penis.
Emotion: sadness
Intensity score: | 0.354 |
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: A loss ain't a loss it's a lesson #smile
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #NawazSharif says India poses unacceptable conditions to dialogue.#India's only condition is an end to #terrorism. :@MEAIndia
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @theIeansquad @SatanHeavenly Rap is so unbearable and horrific.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @DevilsAdvcate @ManUtd absolutely boring.M a big Manchester United fan, nd its really disappointing to see them play in ths dull boring way
This tweet contains emotions: | anger, disgust, 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: @OstinOng YUUUHH 🙄😭 plus clin ep and prevmed ugghhh hahaha
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: @msdhoni #dhoni bcoz of is calmness nd match winning finishers nd a proud #miltirian #dad#husband nd wonderful humanbeing nd his #smile
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: On the other side of fear lies freedom! - JB Glossinger #quote
This tweet contains emotions: | fear, joy, optimism, trust |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Val downing a bottle of vodka there to stop her from shaking! #GBBO
Emotion: fear
Intensity score: | 0.632 |
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: @TheRandomAnt @meg_m203 yeah, they figured that ornaments are way more wanted than spektar and desolate gear. Well they thought right.
This tweet contains emotions: | anticipation, 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: Bes! You don't just tell a true blooded hoopjunkie to switch a f*c@n' team that juz destroyed your own team. You juz don't! #insult
This tweet contains emotions: | anger, disgust |
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: #ThankYouCGI - Do not grow weary in doing good. #CGI2016
This tweet contains emotions: | joy, optimism |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). | Tweet: testing
Intensity score: | 0.500 |
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: @twojacksdetail @bluelivesmtr Very rare an officer just shoots without regard. They don't want that on their conscience. #incite #inflame
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: Michelle, who did NOTHING is hating on Nicole's game hahaha.... #bitter #bb18
Emotion: anger
Intensity score: | 0.500 |
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: @ImNotInfected — rather someone that could help her. Concern clouded her green eyes, not once having seen a girl alone in the woods and —
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @jk_rowling never thought an angry oompa loompa would be my Boggart, but there you have it. #boggart #PresidentTrump
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive 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 @JoeNBC on @colbertlateshow -- & have to say... I'm in awe. What hair products is he using, @greggutfeld ?? #beautiful #jealous
Intensity class: | 3: very positive emotional state can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Point scorning and fury at Labor does nothing to address long term detention and the need to resettle #asylumseekers from #manus and #Nauru
Emotion: anger
Intensity class: | 1: low amount of anger 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: The ghost of Stefano reflects on the grim indignity of being murdered by corrupt cops in faux love. #days
Emotion: anger
Intensity score: | 0.521 |
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: @NancyPelosi Don't you mean Bush...no Trump...no Bush #giggles #hipocrite #Liar #TroubleMaker #AntifaSupporter
Emotion: joy
Intensity class: | 0: no 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: If you #invest in my new #film I will stop asking you to invest in my new film. #concessions #crime #despair #shortsightedness #celebrities
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: @SalterUK second pair of scales I have bought that have stopped working after battery change. Is this an issue you are aware of? #unhappy
This tweet contains emotions: | anger, pessimism, sadness |
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: I'm honestly upset that they rewarded Nicole 500k. #depressing #paulwasrobbed #rewardhardwork #bitterjury #bb18
This tweet contains emotions: | anger, disgust, pessimism, 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: @imtarakate Uggh that's really horrible. You're not a bad person by any stretch of the imagination. I hope this person realizes that.
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: Something #awestruck me today as i was laughing to a non subtitle korean variety show...
Emotion: fear
Intensity score: | 0.140 |
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: The Quarterback' wrecks me every time.. #glee
Intensity class: | -2: moderately negative emotional state 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: @LethbridgeCity I love how playful you guys are becoming -- both on- and offline! 🚗 🚕 🚙 #beepbeep
Emotion: joy
Intensity score: | 0.673 |
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: A shy failure is nobler than an immodest success.
This tweet contains emotions: | optimism |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: I'm insecure, but I'm strong. I'm alone, but I'm loved. I'm sad, but I smile.
This tweet contains emotions: | anticipation, optimism, pessimism, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: . @UNFCCC @uncclearn The problem is the time it has taken to do this means its going to be out of date already. #sadly
Emotion: sadness
Intensity score: | 0.445 |
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: Just because I'm hurting \nDoesn't mean I'm hurt \nDoesn't mean I didn't get \nWhat I deserved \nNo better and no worse #lost @coldplay
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: #LMFAO @MSNBC 's #racepimp Tamron Hall used the words 'fscts' and 'MSNBC' in the same sentence #hilarity #libtard #biasedmedia #neverHillary
Emotion: joy
Intensity score: | 0.500 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Just watched Django Unchained, Other people may frown, but I titter in delight! 2/5
Emotion: joy
Intensity score: | 0.536 |
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 truly feel like science has the ability to make a milk out of anything ... cashew milk, hemp milk, pine nut milk, dandelion milk
Emotion: sadness
Intensity score: | 0.271 |
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: Just received the fantastic news that our next 9 bed 'Sui Generis' HMO has full planning permission. Build to start 01 September. #excited
This tweet contains emotions: | joy, optimism |
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: Yo Yo Yo,my name is #DarthVader \nI feel like I need to puff on my inhaler (I'm no rapper but that was some sick bars) #breathless #bars #rap
This tweet contains emotions: | joy |
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: Check out this #film Robocoq 301 #shortfilms
This tweet contains emotions: | anticipation, joy, optimism |
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: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
Emotion: anger
Intensity score: | 0.625 |
Task: 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: @MarkDice Agreed.So tired of this nonsense . Soros must be elated.
Emotion: joy
Intensity score: | 0.040 |
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: @thedrepabon BLM was outraged by the shooting in NC the other day, turns out the guy pointed gun at police. Wait for facts before outrage
This tweet contains emotions: | anger, disgust |
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: @David_Stepp Any other election, fine vote 3rd party as useless as it is but not this one. I hesitate to say it'd be selfish but...
Emotion: fear
Intensity score: | 0.458 |
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: @PanicAtTheDisco hey, y'all announced it like immediately after I asked. Nice. Thanks y'all
Emotion: fear
Intensity score: | 0.250 |
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