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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: -- used as a pawn in this red woman's game] For now, try not to fret and act as if nothing is amiss. This is a royal -- @TheLadyOfGlenco
Emotion: sadness
Intensity score: | 0.354 |
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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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --
Intensity score: | 0.739 |
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Evaluate the valence intensity of the following tweet, considering the mood of the tweeter. Provide a score between 0 and 1, where 0 indicates very negative and 1 indicates very positive.
Tweet: @S_Moore24 wow that sounds terrific | 0.661 |
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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: @kingvee_ don't provoke me to anger
Emotion: anger
Intensity class: | 3: high amount of anger 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: #PiersGough on thoroughly lively and imaginative developers—“Sager have always challenged us to do better and do better.” @IslingtonSq
Emotion: joy
Intensity score: | 0.340 |
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Evaluate the sentiment intensity of the tweet "Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #anger #sadness" based on the tweeter's mood. Give a score between 0 and 1, where 0 represents extremely negative and 1 represents extremely positive. | 0.194 |
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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: or when someone tells me I needa smile like excuse me ??? now I'm just frowning even harder are you happy
Emotion: sadness
Intensity score: | 0.500 |
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Given the emotion fear and the tweet "Really.....#Jumanji 2....w/ The Rock, Jack Black, and Kevin Hart...are you kidding me! WTF! #ThisIsATerribleIdea #horrible", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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From the tweet "I aspire to have Val's self confidence and optimism tbh 👏💖 #GBBO", identify which emotions are conveyed. Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust. If no emotions are evident, respond with "neutral or no emotion". | joy, optimism |
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Please determine the intensity of the emotion sadness in the tweet "I'm allowed to sulk". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.729 |
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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: A lifetime of laughter at the expense of the death of a bachelor
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Given the tweet "If you love something, let it go. If it comes back, it is yours. If it doesn't, it never will. #sadness #accepting" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.771 |
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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: #rocklandcounty get to ravis in suffern, ny. Great food, new #chef, terrific atmosphere. Say 'twitter' to server and get free #appetizer
Emotion: fear
Intensity score: | 0.125 |
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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: Don't blame yourself,' he spoke, as if she were in the room, kicking the chair beneath him.\n#amwriting #dark
Emotion: sadness
Intensity score: | 0.479 |
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Analyze the tweet "Marcos Rojo Marcos Rojo running down the wing. Loved by the blues, feared by the reds" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | anticipation, joy, love, optimism, trust |
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Analyze the tweet "Could not be happier!! #happy" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | joy, love, optimism |
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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: Getting so excited for @ClearwaterJazz 2016!! We play the main stage Sunday Oct. 16 at 3:30!! #jazzholiday #riesbrothers #rock #blues #jam
Emotion: sadness
Intensity score: | 0.125 |
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Please analyze the tweet "@virginmedia I've been disconnected whilst on holiday 😤 but I don't move house until the 1st October 🤔" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | anger |
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Given the emotion fear and the tweet "@BBCTomEnglish @TimesSport And the dreadful Franglaise.", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 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: @EmmyMitchell_ hahahaha you're ridiculous!!! But thank you a joyous evening xx
Emotion: joy
Intensity score: | 0.815 |
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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: Misery loves company. The church ought to be a place where it finds none.\n-Pastor Kris Theobald #joy
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Examine the tweet "@lukeshawtime terrible" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | anger, disgust |
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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: Putin feels it acceptable to bomb & kill aid workers. Soon he may be sitting at the same table as Trump!! #Armageddon #USApleasedont
This tweet contains emotions: | anger, anticipation, disgust |
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Consider the emotion anger and the tweet "Delete this shit Josh just screenshotted my snap me". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.583 |
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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: @dc_mma @ChampionsFight think shes afraid to fight Holly. One can only imagine what goes through her head when she thinks of Cyborg
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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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: @JamieSmart93 that was shocking!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @CallofDuty how do u guys determine teams? Cause I'm 80% on shitty teams when I play and I'm fuckin over it #cod
This tweet contains emotions: | anger, disgust |
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For the tweet "#2 complained then while his head and then called do not despair of God's mercy if you did sins go back to him and ask his forgiveness", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | optimism |
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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 freaking hate working with #word on my phone #write #writing #writerslife #writerproblems #writer
This tweet contains emotions: | anger, disgust |
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For the tweet "When my life became such a concern to irrelevant ass people I'll never know", assess the intensity of the emotion fear. Choose one of the following: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Classify the emotions found in the tweet "Stuck in a infuriate scrum about hegemonists. #scrum #scrum #Stuck". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | anger, disgust |
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Consider the emotion fear and the tweet "@Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.583 |
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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: @_Mrs_Peel @lp_lisa @PaulRGoulden @LisaLuscious Might be the pout of a star baker tho !
Intensity score: | 0.435 |
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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: Can't believe @virginmedia are putting their prices up!! They already know I'm struggling to pay my bill & won't change my package!! #raging
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Consider the emotion fear and the tweet "@hotpatooties more like quickie divorce". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.216 |
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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: @samsteinhp stop the presses, @realDonaldTrump said/proposed something racist.
This tweet contains emotions: | anger, disgust |
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Please analyze the tweet "My blood is boiling" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | anger, disgust |
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Given the emotion sadness and the tweet "What I would give\nTo feel the sunlight on my face\nWhat I would give\nTo be lost in your embrace 🎧\n\n#Fallen", rate the intensity of sadness shown. The rating scale is: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 2: moderate amount of sadness can be inferred |
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Given the tweet: "and I'm up from a dream where I said something really retarded on twitter and it got like 10000 retweets" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.491 |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following options: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: alternate reality where @PoetryFound has a comments section and you can give poems a cheery thumbs up or a disappointed thumbs down | 0: no joy can be inferred |
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Classify the emotions found in the tweet "@AskLloydsBank #worst exec complaints ever #horrific customer journey". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | anger, disgust |
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Consider the emotion joy and the tweet "The #most wasteful day is a #day without". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.120 |
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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: @Sami_3499 Oh noooo! #nomorehammocks #nightmare ;)
Emotion: fear
Intensity score: | 0.625 |
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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: Taking umbrage because Jimmy Carr claimed that Bilbo Baggins went to Mordor on 8 out of 10 cats does Countdown. Know your Baggins', mate.
Emotion: anger
Intensity score: | 0.375 |
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Using the given tweet "A 28 yr old man threw a saucepan of boiling water at a garda, & then hit the garda with the shaft of a brush...Letterkenny District Court.", determine the level of the author's emotional state. Your options are: 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. | -2: moderately negative emotional state 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: @ShannonBeador we know the truth about her, the public is figuring it out. Her words mean nothing. #unhappy #mean #troubled #vile #bully
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Analyze the tweet "I found #marmite in Australia. `:) #happy" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | joy, love |
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Classify the emotions found in the tweet "It's the most magical time of the year......Xmas party announced and the #outrage commences. Gotta love Silicon Valley millennials.". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | joy, love, optimism |
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From the tweet "@billie21806 @cnnbrk tell that to your bodies cheering on the deaths of black people by cops. their fear is killing us.", identify which emotions are conveyed. Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust. If no emotions are evident, respond with "neutral or no emotion". | anger, disgust, fear, pessimism, sadness |
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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: In addition to fiction, wish me luck on my research paper this semester. 15-20 pages, oh boy.
This tweet contains emotions: | anticipation, fear, optimism, trust |
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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 warm #smile is the universal language of kindness William Arthur Ward #love #kindness
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: #Afghanistan Vice President Sarwar Danish slams #Pakistan for breeding #terrorism during UNGA address\n@UN #USA
Emotion: fear
Intensity score: | 0.583 |
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For the tweet "Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory!", identify the emotional state of the tweeter. Choose the most appropriate category: 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. | 0: neutral or mixed emotional state can be inferred |
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Using the tweet "@DJ_Musicologist #Disney's 1994 #animated #musical #film #TheLionKing was influenced by #WilliamShakespeare's #Hamlet. Songs by #EltonJohn.", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | anticipation, joy |
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For the tweet "@iamsrk what's up w the gender bias? #indignant This fancypants saddler's daughter will opt for the leather jacket, thank you very much." and the emotion anger, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.500 |
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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: Evening all. Don't forget it's #RobinHoodHour TONIGHT 🏹\n\n#bizitalk #bizhour #southyorkshire #MansfieldHour #chirp #sheffieldHour #NottsHour
Emotion: joy
Intensity score: | 0.442 |
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Given the tweet "@SageHillfarms @HintonAlisa @hb_heather Hey, Jayme! Were your👂👂 burning cuz I was talking about you?😁 Are you going tomorrow?", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion". | anger, anticipation |
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Given the tweet: "That was a fast response madrid.....Zidane threaten unuh" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.396 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly joy is expressed in this tweet: "Leon's cheerfulness is always a big help.". | 0.625 |
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Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: Gas prices are hilarious. Cause they're simultaneously super subsidised and taxed | 0: no joy can be inferred |
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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: @_MrAminuddin @ejainews @_AlifH @AhmadFuadAdnan dont play with this master noob u want to win.. #serious
This tweet contains emotions: | neutral or no emotion |
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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: Celtic sure know how to send a wild shiver down your spine
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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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: Some People hate nothing more than a happy confident person. Never mind #confident
Emotion: joy
Intensity score: | 0.318 |
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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: Better mood today! Bring me #teasing, #flirting, #xdressers, #laughter, and #roleplayers! Also #confessions and #secrets @underdeskloser
Intensity class: | 2: moderately positive emotional state can be inferred |
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Based on the emotional content of the tweet provided, classify it into one of these categories: 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. Here is the tweet: @SimplyMayaMarie @STILLStanding_B 😂😂😂 y'all know I'm crazy its just shocking that's all | 1: slightly positive emotional state can be inferred |
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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: Yes I am picking up sticks and pine cones in my front yard
Emotion: sadness
Intensity score: | 0.167 |
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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: #smile every morning to a positive head start with your #clients relations
Emotion: joy
Intensity score: | 0.562 |
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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: Come and join in with #cakeclubhour tomorrow afternoon from 3pm! #bizhour
Emotion: joy
Intensity score: | 0.439 |
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Assess the level of fear present in the following tweet: "When you realize there is #NoHopeForHumanity so you just #start focusing on what's #best for you.". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.542 |
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Assess the emotional intensity of joy in the following tweet: "@FullTimeDEVILS Memphis looking bright. Rojo looking like Rojo.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.473 |
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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: The #pessimist complains about the wind; the #optimist expects it to change; the realist adjusts the sails.' - William Arthur Ward\n#IGNITE
Emotion: sadness
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: Dates in the glove box' is pure panic excuse #GBBO
Emotion: fear
Intensity score: | 0.688 |
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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 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: Not sure if thats an accomplishment or something to worry about
Intensity class: | -1: slightly negative emotional state can be inferred |
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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: Am I the only person who dislikes fall? #FirstDayofFall #leaves #thingsdie #depressing #cold #noflipflops 👎🏾👎🏽👎🏻🍂🍁
This tweet contains emotions: | anger, disgust, sadness |
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Determine which emotions are present in the tweet "@alyssasimpson21 I gave up KENDRICK LAMAR to eat barbecue with him. #bitter". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger, anticipation, disgust, sadness |
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Analyze the tweet "@andreamitchell said @berniesanders not only did not play up HRC in campaigning 4 her in OH but he did not discourage 3rd Party vote. TRUE??" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | anticipation, surprise |
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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: We have left #Maine. #sadness
Emotion: sadness
Intensity score: | 0.771 |
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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: @MacEngelProf as a fact for levity, movie theaters on Post actually did play the N.A when I served; was the best part of movies like TheHulk
Emotion: joy
Intensity score: | 0.302 |
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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: I'm throwing myself straight into American Horror Story so I don't have time to grieve
Intensity score: | 0.483 |
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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: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder
This tweet contains emotions: | anger, disgust |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly fear is expressed in this tweet: "@Gibberman10 @ScottHoward42 any of y'all remember when MLB tried a futuristic jersey those were all #terrible". | 0.375 |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: If Monday had a face I would punch it #monday #horrible #face #punch #fight #joke #like #firstworldproblems #need #coffee #asap #follow | 0: no fear can be inferred |
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Given the emotion anger and the tweet "oh these old things on my face? nah they're not tears from school related anger and frustration nope never", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 2: moderate amount of anger can be inferred |
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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: If I was friends with me I'd hate me SO MUCH with the amount I bully them
This tweet contains emotions: | anger, disgust, sadness |
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Read the tweet "I'm just doing what u should b doing just minding my business and grinding relentless @LITO615" and categorize the emotional state of the tweeter using these labels: 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. | -2: moderately negative emotional state can be inferred |
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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: @BreezyWeekes hey breezy, you wanna give me some of that coffee you posted on your snap?? please
Intensity score: | 0.574 |
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Assess the emotional intensity of joy in the following tweet: "Your glee filled Normy dry humping of the most recent high profile celebrity break up is pathetic & all that is wrong with the world today.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.100 |
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Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive 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: Happy Birthday, LOST! / #lost #dharmainitiative #12years #22september2004 #oceanic815
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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Given the tweet "#firsttweetever sippin #hotchocolate wondering #why I finally gave in <3 haha #hellloooootwitter - ...its because #facebookisforfamily #rage" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.542 |
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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: @StephenKing\n\nStephen King never once spoke out about how the Left crushes #FreeSpeech in publishing world.\n\n#Trump #horror #scifi #ccot #p2
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @pottermore : I can't find my patronus, the website doesn't work, I can't even see the questions.... #sadness...
Emotion: sadness
Intensity score: | 0.729 |
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For the tweet "@wrexham I've joined holidog, paw shake and tailster and have one regular customer I just love it 🙈🙈haha @EmilyHD26 @ellshd" and the emotion fear, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.208 |
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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: What if.... the Metro LRT went over the Walterdale?!?! 😂 #yeg #levity
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly joy is expressed in this tweet: "@TheMandyMoore You are beyond wonderful. Your singing prowess is phenomenal but damn... I'm just elated to watch you act again. #ThisIsUs 🤗". | 0.771 |
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For the tweet "@lericoo 35. Do you hold a grudge against your ex?", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | neutral or no emotion |
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Given the emotion fear and the tweet "Have the producers of @soverybritish ever been outside of their country? These are universal problems. #worldwide", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear 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: 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: anger
Intensity class: | 1: low amount of anger can be inferred |
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For the tweet "@SueWallace78 peanut butter???? You some kinda pervert??", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear 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: #TerrorStatePak we r confirm that #navazsharif is post graduate distinction student of university of #terrorism. He can't spare himself.
This tweet contains emotions: | fear |