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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: Is it terrorism to intimidate a populace? What case held 'coercion by people in uniform is per se intimidation'?
This tweet contains emotions: | anger, disgust |
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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: in health we did a think about depression and now i feel like i have it
This tweet contains emotions: | sadness |
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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: Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #gradschool
Emotion: joy
Intensity class: | 0: no 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: I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy
This tweet contains emotions: | joy |
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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: @kole_holland don't fret, there's another game on at 8 #staytuned
Emotion: sadness
Intensity score: | 0.250 |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I like the commercial where @kohara19, on a chocolate milk bender, steals a soccer ball from some guys and refuses to give it back. #bully
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: This meth documentary is exhilarating
Emotion: joy
Intensity score: | 0.339 |
|
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: Ive learnt that a #smile and good #morning goes a long way, and saying #thankyou goes even further. #quote #retweet #inspire
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: @CSNHayes understandable. Hard when he has zero offense behind him, and only a few wins since the All-Star Break.
Emotion: anger
Intensity score: | 0.271 |
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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: Luis Ortiz ducked by Ustinov which means fights off, and he left @GoldenBoyBoxing future not looking to bright for Ortiz #boxing
Emotion: joy
Intensity score: | 0.288 |
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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: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️
This tweet contains emotions: | anger, disgust |
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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: @aroseblush Hello !\nThe bigger the bully, the more crocodile tears. Bullies always act like offended victims.
Emotion: fear
Intensity score: | 0.438 |
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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: Love this! Laughing while crying works too! #katherinemansfield #failure #laughter #dealingwithfailure
Emotion: joy
Intensity score: | 0.667 |
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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: inha's and seol's banter is rly fun to read. im in awe that seol is willing to deal with her tho
Emotion: fear
Intensity score: | 0.208 |
|
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: Dates in the glove box' is pure panic excuse #GBBO
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: @BouchetPetersen @libe @dom_albertini @DavidDoucet Imposuture intellectuelle ! #préjugés #intolérance #personnalitéAutoritaire
This tweet contains emotions: | anger, disgust, sadness |
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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: TheNiceBot: melbjs ;) Here is a smile and a wink from across the web. #TheNiceBot
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Always do sober what you said you'd do drunk. That will teach you to keep your mouth shut. \n― Ernest Hemingway #quote
Emotion: sadness
Intensity class: | 1: low 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: At the end of the day I know that my kids will never worry about me leaving them 💕
This tweet contains emotions: | joy, love, optimism |
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Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: @DanRather What King says doesn't matter. The fact he came w/ psycho Don is by far more of an affront.
Emotion: anger
Intensity score: | 0.562 |
|
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: In ever use to like smiling until I realized how good my teeth look ... Witout the braces
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: Rooney is 5 yards off the pace in a League Cup game against Northampton Town. Let that sink in for a moment. #MUFC
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: Heading home to cut grass in the heat. All I wanna do is go out to eat somewhere air conditioned. #pout #AdultingIsTheWorst
Emotion: sadness
Intensity class: | 0: no 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: @DavuuWart this is hilarious !!
Emotion: joy
Intensity score: | 0.820 |
|
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: I love looking at my old statuses on Facebook. The one I have from four years ago on this day was about #glee. I had so many opinions...
Intensity class: | 1: slightly positive emotional state can be inferred |
|
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: It's simple I get after two shots of espresso 'Grande, decaf, 130 degrees soy americano with extra foam' #barista
Emotion: fear
Intensity score: | 0.125 |
|
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: Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #cheer #gradschool
Emotion: joy
Intensity score: | 0.300 |
|
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: ESPN just assumed I wanted their free magazines
This tweet contains emotions: | anger, disgust |
|
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: f breezy
Intensity class: | 1: slightly positive emotional state 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: @CorbettBarr @pjrvs @brianclark true. Just me spitting venom because I'm still bitter with Stripe. Like an old man yelling from his porch.
This tweet contains emotions: | anger, disgust, sadness |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Walk right through them! See way past them, and don't even hesitate running them over.
Intensity class: | 0: neutral or mixed 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: This is the first time I've been sober on my birthday in 6 years. #recovery #sobriety #sober #soberissexy #sobernative
Emotion: sadness
Intensity score: | 0.375 |
|
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 ending of how I met your mother is dreadful
Emotion: fear
Intensity score: | 0.333 |
|
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: @tcarrels \nSo when exactly did you lose your mind, pal? \n #Trump #fraud #misogynist #liar #psychopath #narcissist #conartist
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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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: kenny - where were you born\nme - washington\nkenny - you fucking liar you were born in the fiery pits of hell
Emotion: anger
Intensity class: | 3: high amount of anger 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: #FF \n\n@The_Family_X \n\n#soul #blues & #rock #band\n\n#music from the #heart\n\nWith soul & #passion \n\nXx 🎶 xX
Emotion: sadness
Intensity score: | 0.250 |
|
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: Got to be up in 4 hours to go back to work #cantsleep #excited #nervous
This tweet contains emotions: | anticipation, fear, joy |
|
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: i wonder how a guy can broke his penis while having sex? #serious
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: Drawing mini-comics is joyful; folding mini-comics is meditative and relaxing. I think I need to do them for more than just Halloween...
Emotion: joy
Intensity score: | 0.562 |
|
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: Right i may be an #sufc fan and the football maybe shit but marcos rojo for #mufc has had a shocking start he's just dreadful
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: Watch this amazing live.ly broadcast by @paulzimmer #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: i swear people dont wanna see me happy like they will try to do anything to fuck up what i got going
Intensity score: | 0.367 |
|
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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: Turns out 'it' wasn't even anything to be concerned about at all. Im happy and a bit frustrated it took so long to get this answer.
This tweet contains emotions: | anger, disgust, joy |
|
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 I'm working and I know you're working., keep in touch with other woman cuz you make me nervous... #OffTop
Emotion: fear
Intensity score: | 0.729 |
|
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: #heavyheart these last couple of days, who are the cause of this #fear of losing someone close ? #amerikkka #kkkops #TerenceCrutcher
This tweet contains emotions: | fear, 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: Another loss to city in the cup next 🙈 😂😂 cmon united!
Emotion: anger
Intensity score: | 0.292 |
|
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: onus is on Pakistan' : @MEAIndia after #Uri #terror attack
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: @ikhras @benglaze Amal Clooney should try to prosecute #Bush/ #Blair for #war crimes that turned our World upside down&created
Intensity score: | 0.435 |
|
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: What a grim night #GetTheFireLit 🔥
Emotion: sadness
Intensity score: | 0.667 |
|
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: @delon03 can you at least just walk past her and break out into laughter
This tweet contains emotions: | anticipation, joy, trust |
|
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: @RashidAlMaktoum For #serious #intermediaries all required info about #project or #Owner will be mailed.
Emotion: sadness
Intensity score: | 0.250 |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: How is your toddler coping with the new arrival? Has he tried killing her yet?' they cheerfully ask.
Intensity score: | 0.656 |
|
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: @GNRailUK There's gonna be street parties when you lot leave. Spontaneous rejoicing. Clowns.
This tweet contains emotions: | disgust, 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: @LeafyIsHere will showing off biceps scare you?
Emotion: fear
Intensity score: | 0.417 |
|
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 was cheering for NA team. Now I just want this is over and Gaudreau comes back in one piece. It is getting way too risky
This tweet contains emotions: | fear |
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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: Its worth noting that despite the animosity between the US president and the Israeli president they both behaved as gentleman.
Emotion: anger
Intensity class: | 0: no 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: Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️
This tweet contains emotions: | pessimism, sadness |
|
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: @m_giacchino will this be aired on radio or filmed? Lots of fans over the pond too! #wales
Emotion: sadness
Intensity score: | 0.188 |
|
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: My friend just messaged me 'ugh I'm so hungry I can't wait for breakfast' #socialmedia #WineWednesday #hilarious #funny #laughing #happy
Emotion: joy
Intensity class: | 3: high 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: Hey @gmail why can I only see 15 sent emails? Where's the thousands gone?
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: Super shitting it about this tattoo #nervous
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: That's how you start a season that's how you open the show #show #them #how #dark #hell #can #get #Empire
This tweet contains emotions: | optimism |
|
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: very little frustrates me as much as misplacing something. Been looking for my keys for 2 hours now #rage
This tweet contains emotions: | anger, disgust, sadness |
|
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: #FF \n\n@The_Family_X \n\n#soul #blues & #rock #band\n\n#music from the #heart\n\nWith soul & #passion \n\nXx 🎶 xX
This tweet contains emotions: | joy |
|
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I mean, is she supposed to seem joyous when she's talking Rodrigo Duterte, ISIS, the American economy, etc.? Think about what you're saying.
This tweet contains emotions: | anger |
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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: It is so exhilarating taking on the challenge of demonstrating + explaining WHY #JamesJoyce's #Ulysses is so endearing & wonderful!
Emotion: joy
Intensity class: | 2: moderate 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: @jamielamieee @gerbicapiral_ @Dory then I look at you and we burst out laughing
Emotion: anger
Intensity score: | 0.229 |
|
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: @NianticLabs .... For example, catching a gloom would yield 6 oddish candies and catching a vileplume would yield 9.
This tweet contains emotions: | anticipation, joy, optimism |
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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: @KimLy resent
Emotion: anger
Intensity score: | 0.521 |
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: So grim being up at 6
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: Wearing all black tomorrow as I continue to mourn the lives of the most recent victims of police brutality. #blackout #WU
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: @ShannonBeador we know the truth about her, the public is figuring it out. Her words mean nothing. #unhappy #mean #troubled #vile
Emotion: fear
Intensity class: | 0: no fear 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: @DKTaylorWriter I thought that was funny, too. But maybe not such a coincidence. Green must be the official color of optimism.
Emotion: joy
Intensity score: | 0.438 |
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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: Just over a week until I start my new job in F1! Looking forward to it and cacking myself at the same time! #nervous
Emotion: fear
Intensity score: | 0.646 |
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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: @natalie_bloomer You interviewed one irate group, two filmmakers who don't live here and got stock statements. That's not journalism.
This tweet contains emotions: | anger, disgust |
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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: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor !
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications
Emotion: sadness
Intensity score: | 0.667 |
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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: Goodmorning fam, do you know that your critical condition pave way for your miracle, so #dont #worry #be #happy
Emotion: fear
Intensity score: | 0.271 |
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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: I never let anything below me concern me.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @gothictana im a delight
Emotion: joy
Intensity score: | 0.542 |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @johnmerro1 @Liberobility still bitter about last night lads 😂
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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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: @CovinoandRich just heard back2back, guess that's why they call it the blues & she's got the look, but I can only sing tickle sacks version
This tweet contains emotions: | anticipation, joy |
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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: @VBadawey Every day, we need to choose hope over fear, and diversity over division - Justin missed optimism, change, sunniness, love,
This tweet contains emotions: | joy, optimism, trust |
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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: Which #JohnCarpenter #horror #action #flick is your favorite ??
This tweet contains emotions: | anticipation, fear, trust |
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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: But this is the internet age, so get mad out of any and all proportion and assume the terrible worst with little to no facts or knowledge.
Emotion: fear
Intensity score: | 0.500 |
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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'm so over having anxiety
Emotion: fear
Intensity score: | 0.807 |
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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: @BonesARP 'That is a disappointment.'\n\nHe fakes a pout, then starts to chuckle.
This tweet contains emotions: | disgust, sadness |
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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: Season 3 of penny dreadful is on Netflix...well my afternoon is filled
Emotion: fear
Intensity score: | 0.375 |
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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: @shawnstockman This would be hilarious, if it weren't so frighteningly on point. It's gone from a few bad apples to a national disgrace.
This tweet contains emotions: | disgust, joy, pessimism, sadness |
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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 wish I could fast forward 3 months from now, I'll know then where I'm at with my girl, my classes, and basketball. Rn I have pure
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @EE your a joke I pay for data when I'm in Spain and you then text and say I've used up all my data #terrible service
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @savageimiike one of my favorite songs brother, real talk. #rage
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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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: @Zerfash — can't wait.' She said cheerfully and grinned.
This tweet contains emotions: | joy |
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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: When a guy comes on the train that smells like a mixture of a damp dog, old sweat and sewage works!!!!#gross #horrid #getoffthetrain #smelly
This tweet contains emotions: | anger, disgust |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @Bell @Bell_Support Cancelling home Fibe, Internet and TV this afternoon - as soon as I can arrange alternate Internet. 2/2 #fedup
Emotion: anger
Intensity score: | 0.667 |
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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: Theyve substituted the hood for a badge and gun.' Public opinion is indictment of Charlotte police. #dark #sadtimes #america #race
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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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: @gmbremer is his shoulder a legit concern? 'Expects to play' isn't reassuring 2 games into the season after having shoulder problems.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @CohenDS Yell, 'Bye, garbage!' cheerfully after it.
Emotion: joy
Intensity class: | 0: no joy can be inferred |