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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: I did the dishes yesterday, fell asleep, woke up to the sink full and I didn't even eat dinner but I have to do the dishes.
This tweet contains emotions: | anger, disgust, sadness, surprise |
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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: After what just happened. In need to smoke. #burning
This tweet contains emotions: | anger, disgust, sadness |
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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: @vibaby @imEB y'all had crackheads in the islands? I don't know why I find that so interesting and shocking
This tweet contains emotions: | anticipation, disgust, joy, optimism, surprise |
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Given the emotion sadness and the tweet "When I was new, I hate the Judge Judy sponsorship style- but looking back it was the only thing that worked. #recovery #sober #cantconacon", classify the intensity of the emotion displayed in the tweet. The classification options are: 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. | 0: no sadness can be inferred |
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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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #hilarious #cleverpeople
Emotion: joy
Intensity score: | 0.827 |
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Given the tweet: "@chencouture LMAO Is it that 'so slutty' hater girl? That video was hilarious. 😂" and the emotion: joy, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.700 |
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Determine which emotions are present in the tweet "rose incense are the best thing I've ever bought". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | joy, optimism, trust |
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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: #NawazSharif says lets end #terror. Sure, let #IndianArmedForces target the bases without #Pakistan interference #Karma?
This tweet contains emotions: | anger, disgust, fear |
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Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 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: Bake off on TV and the Match on my phone, what a nightmare I'm so stressed #GBBO #NTFCVMUFC | 2: moderate amount of fear can be inferred |
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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: Oh, I should just 'get over' my #depression and 'be happy?' Don't you think I've tried that thousands of times already? You're not helping.
This tweet contains emotions: | fear, pessimism, sadness |
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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: @NM_NickNocturne Incentivise people to roam the Internet being morally offended, as if they didn't do it enough already.
Emotion: anger
Intensity score: | 0.542 |
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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: How in the world did Nicole beat Paul?!?! #terrible #bb18 #BBFinale What was the jury thinking?? 😳😳😳
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Examine the tweet "Get to work and there's a fire drill. #fire #burning #outthere #inthedark" 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". | neutral or no emotion |
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Determine the valence intensity of the tweeter's emotional state conveyed in the tweet "@OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic". Offer a numerical score between 0 and 1, where 1 represents very positive and 0 represents very negative sentiment. | 0.790 |
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Assess the level of sadness present in the following tweet: "carry on my wayward son there'll be peace when you are done lay your weary head to rest don't you cry no more". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.500 |
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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: A wise man told me that holdin' a grudge is like\nLetting somebody just live inside of your head rent free
This tweet contains emotions: | anger, trust |
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Determine which emotions are present in the tweet "@ananavarro @tcarrels most of Trump supporters have not clue about the meaning of the words they used just like him #sad #nevertrump". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | disgust, pessimism, sadness |
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Determine the emotional tone of the following tweet: "@arppaul @chetanlfc @mannkakhiladi @dey_spandan @umeroffcial Comparing Akshay Sir with this zandu balm is an insult to Akshay Sir.". Use the provided emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. Respond with the emotions you identify or "neutral or no emotion". | anger, disgust |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly anger is expressed in this tweet: "Puzzle investing opening portland feodal population is correlative straight a snorting infuriate: XLzjYhG". | 0.458 |
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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: Why have I only just started watching glee this week I am now addicted 🙄 #GLEEK
This tweet contains emotions: | joy, love, optimism, surprise |
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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 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: @priny_baby happppy happppyyyyyy happppppyyyyy haaapppyyyy birthday best friend!! Love you lots 💖💖💖💖💖💖💖🎉🎊 #chapter22 #bdaygirl #love
Intensity class: | 3: very positive emotional state can be inferred |
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Please analyze the tweet "@XGames looks exhilarating! Looking forward to seeing 👍🏼" 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". | anticipation, joy, 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: *Sigh* #saddness #afterellen #shitsucks
This tweet contains emotions: | sadness |
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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: PM #SheikhHasina in @UN speech terms #terrorism as global challenge and urges world leaders to work together to unroot it from everywhere.
Emotion: fear
Intensity score: | 0.554 |
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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: 9/30 Howland Cultural Center, #BeaconNy Vickie Raabin & Chris Raabe #blues #soul 8pm @LocalMotionWVKR @hiddencitiesnyc 845-831-4988
This tweet contains emotions: | anticipation |
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Analyze the tweet "Fuking fuming 😤" to classify the intensity of the emotion anger. Your 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. | 3: high amount of anger can be inferred |
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Read the tweet "I don't think it's fully sunk in that Val is gone yet" and determine the level of sadness present. Select from these options: 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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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: Don't wanna go to work but I want the money
This tweet contains emotions: | disgust, joy, pessimism, sadness |
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Consider the emotion fear and the tweet "@ceIestialfoxx I don't even remember that part 😅 the movie wasn't terrible, it just wasn't very scary and I expected a better ending 🙄". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.240 |
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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: Omg he kissed her🙈 #w
This tweet contains emotions: | anticipation, joy, surprise |
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Analyze the tweet "@iyaycruz lets see chirp" and quantify the intensity of the emotion joy. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.231 |
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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: Ignored broken tooth for so long, now have abscess. Need dentist but #fear makes it hard for me to go..45 and still can't go to dentist
This tweet contains emotions: | disgust, fear, pessimism, sadness |
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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: @MoneyJay901 hard to tell in your pic. My mistake then. Either way, nothing I said initially was about race. U took it there. #sad #ignorant
Emotion: sadness
Intensity score: | 0.646 |
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From the tweet "is it an insult or compliment to be told i look like a really happy duck", 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 |
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Analyze the tweet "I seriously miss #ahsaftershow with @trixiemattel and @TheRealEdHansen. I need to talk about the mamasitas and the hunks of horror." 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". | disgust, sadness |
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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: #India is sponsoring terrorism in #Balochistan. #KulbhushanYadav an Indian spy agent was arrested in Balochistan by Pakistani forces.
This tweet contains emotions: | fear |
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Determine how strongly fear is expressed in the following tweet. Use the scale: 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: No red card for Gordon there? The ref must be a Celtic fan as that was a shocking challenge. | 0: no fear can be inferred |
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Assess the level of sadness present in the following tweet: "@Theshadeshit91 \nOh, I'm sorry about it, do not be sad yourself there is nothing important in the world to grieve about it". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.625 |
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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: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍
This tweet contains emotions: | joy, love |
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Read the tweet "This night is sparkling, don't you let it go! I'm wonderstruck, blushing all the way home..' #ValerieBot" 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 positive emotional state 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: @doctorofinfo I was just introducing a little levity to the convo. Yep!
Emotion: joy
Intensity score: | 0.540 |
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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: I'm moving this weekend & my sugar daddy will replace it so, it is what it is. Niggas still happy.
Intensity class: | 1: slightly positive emotional state can be inferred |
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Given the tweet "Let the #MrRobot binge begin. #nerdshow #compelling #dark", 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". | anticipation, disgust, fear |
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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: I screened my own snap what kind of narcissistic ass would smh
Emotion: anger
Intensity score: | 0.479 |
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For the tweet "And btw... I really did stay in bed all day today. #depression I hate being lied to, fuck liars. -w-", classify the intensity of the emotion sadness. The possible classifications are: 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. | 3: high amount of sadness can be inferred |
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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: On @Varneyco/@FoxBusiness to talk latest on #Chelsea Bombing + #Ahmad_Khan_Rahami's trips to #Afghanistan/#Pakistan #tcot #terror
Emotion: fear
Intensity class: | 1: low amount of 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: @khloe_speaks sad music
This tweet contains emotions: | sadness |
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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: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. #outrage
Intensity class: | -3: very negative emotional state 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: @GNRailUK There's gonna be street parties when you lot leave. Spontaneous rejoicing. Clowns.
Emotion: joy
Intensity score: | 0.360 |
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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: #ParentsofAddicts: let #wellness be your #revenge! -Al Anon speaker
This tweet contains emotions: | anger, disgust |
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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: Huns are like a box of coffee revels #horrible | 0: no fear can be inferred |
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Determine which emotions are present in the tweet "nadia bully me and ill expose you". 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, 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: Finally watched #hungergamesmockingjay2 this morning, sadly I feel a little disappointed #toomuchhype
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???
Emotion: fear
Intensity score: | 0.583 |
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Assess the level of joy present in the following tweet: "@MissRBBerry_ @BlaineHale_ @KurtStilinski_ @BeaconScott11 @SStilinski_24 I brought sparkling cider...*holds it up* I know it's not much". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.312 |
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Examine the tweet "Praying for the #Lord to keep #anger #hate #jealousy away from your heart is a sign of #maturity #conciseness" 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". | optimism |
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Analyze the tweet "@datboyJuniorE lool soon as man start loosing weight. Its panic" 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". | fear |
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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: Projection is perception. See it in someone else? You also at some level have that within you. #anger #worry
Emotion: fear
Intensity score: | 0.542 |
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Assess the valence intensity of the tweeter's emotional state given the tweet: "@hannah_2401 hannah stop being mournful and chill 💁". Provide a numerical score ranging from 0 to 1, where 1 signifies highly positive and 0 indicates highly negative. | 0.400 |
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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: Ooh #hygge, candles, jasmine tea & #GBBO | 3: high amount of joy can be inferred |
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Read the tweet "And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose." and determine the level of anger present. Select from these options: 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. | 3: high amount of anger can be inferred |
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Analyze the tweet "Happy #internationaldayofpeace everyone hoping that the world becomes a better place less division more happiness keep smiling. 😄😄❤️" 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: 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 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 |
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For the tweet "Luke 1:14\nHe will be a joy and delight to you, and many will rejoice because of his birth", 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. | 3: very positive emotional state 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: @carlymarierozy @makeupsue it's sad but now we are making our own children vulnerable to the same terror.
Emotion: fear
Intensity score: | 0.688 |
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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: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #offense #lineman
This tweet contains emotions: | anger, disgust, sadness |
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Please analyze the tweet "Never switched up, stayed down this the same person since day one." 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". | joy, optimism |
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Your task is to measure the intensity of fear in the tweet: "I'm going to get the weirdest thank you note--or worse--total silence and no acknowledgement.". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.521 |
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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: @Blewberry02CP Content updates provoke that income.
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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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: @NessaMatthews he's perfect. But not even in that way where you sort of resent him or suspect that he leads a double life. Just perfect. | 0.365 |
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Analyze the tweet "On the way to Laser Vista ... lens implantation ... #LaserVista #happy" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.229 |
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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: I just heard the most incredibly transcendent song ever & now I feel high & fucked up yet joyful & I will never be the same
Emotion: joy
Intensity score: | 0.607 |
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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: I don't think Luca understands how serious I am about Fall....he has no idea what's in store for him 😂😂
Emotion: sadness
Intensity score: | 0.208 |
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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: Honestly depression is kicking my ass lately.. 😔
Intensity score: | 0.048 |
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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: semores: let's get this. #mirth #SAW #keepthetradition 💜💛⚛🏵🍇🍋🌼🐤🐥👚😈😈👾🧀
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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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: It's not going to break you it's just going to shake you
This tweet contains emotions: | anticipation |
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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: i'm doing laundry and watching that 70's show with a bunch of strangers. #birthday #to #me
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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Read the tweet "#twitter #users Tweeting on twitter is like playing a game against the computer. Where's the life, Everyone too #afraid to say something?" and determine the level of fear present. Select from these options: 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: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO
Emotion: joy
Intensity score: | 0.600 |
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Using the given tweet "Rojo is hilarious", 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 positive 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: #Forgiveness might make us look #weak, but the weakest person is the one who holds #anger, #hatred, and #revenge.
This tweet contains emotions: | anger, anticipation, optimism, trust |
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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: Thoroughly enjoying AHS tonight. #ahs #americanhorrorstory
This tweet contains emotions: | anticipation, joy, optimism, trust |
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Given the tweet "No #gbbo from us tonight sadly, we've got a date with some nachos @ODEONCinemas #BridgetJonesBaby", 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, pessimism, sadness |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 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.
Tweet: SRV's 'Voodoo Child' is approximately 76 times better than Jimi's. #guitar #music #blues | 0: no sadness 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: Why is it so windy? So glad I didn't ride my bike. #fear #wind
Emotion: fear
Intensity score: | 0.812 |
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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: Overwhelming sadness. This too shall pass. #lost #lonley #startingover
Emotion: sadness
Intensity score: | 0.889 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly sadness is expressed in this tweet: "I mourn the creativity lost.". | 0.562 |
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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: @Harry_Styles 💖\nHeart so pure and smile\nso bright, I love you\nmore than the number\nof stars at night.\nKindly follow me please\nHarry?\n—90,127
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Please determine the intensity of the emotion joy in the tweet "I aspire to have Val's self confidence and optimism tbh 👏💖 #GBBO". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.500 |
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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 assume that people pick up on my joviality coz I lol a lot but it's just not working. Maybe I need to get heavy handed with emoticons? Ha
This tweet contains emotions: | joy, sadness |
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Your task is to measure the intensity of anger in the tweet: "#india will take #revenge by making 3 new movies like #phantom and they will be like #ghus_k_maren_ge this is how indian army take revenge". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.500 |
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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: Nice Idea collect all relevant socialmedia in one-But dont be automatic pls #worldsapp ⬅️ #chirp #appsworld #socialmedia @DanielFeuer merci🎈
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 fear is expressed in this tweet: "@fatgirlhealthy @MBSCBILL ....so that what do to use violence and intimidation for a polictical agenda.; aka terrorism?". | 0.667 |
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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: Jesus wept! Another RNS from #rusty @metaltigerplc quote 'Price sensitive news, Price Sensitive news' etc etc The #Ramping here is #shocking
Emotion: fear
Intensity score: | 0.637 |
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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: schneiderlin taking his revenge for the 2 fouls
This tweet contains emotions: | anger |
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Examine the tweet "Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #sadness" 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". | sadness |
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Assess the level of joy present in the following tweet: "in love with @BarberCeleste insta!!!... #hilarious". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.769 |
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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: Omg I actually thought she was going to jump. #SouthPark20 #southpark
Intensity score: | 0.312 |
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Analyze the tweet "#Jazz - the #blues is the roots, the rest is the fruits" and quantify the intensity of the emotion sadness. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.250 |
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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: 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
Emotion: sadness
Intensity score: | 0.458 |