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Given the tweet: "@FoxNews #Poor = #angry and justly so. Offer people some hope! My god, does anyone see this?! #Education should not be for the #elite" and the emotion: anger, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.750 |
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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: @TheOnlySweeney their slogan should've been #start instead of #finish
Intensity class: | -2: moderately negative emotional state can be inferred |
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Analyze the tweet "The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.400 |
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From the tweet "If i start growing out my mustache now, I can be Pablo Escobar for Halloween!!!", 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". | anticipation, joy, optimism |
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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: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Given the tweet "Everyday gay panic is STUNNING: I drew 1 guy's att'n to it when he blocked up a toilet stall's cracks w/paper towels. TOTAL INCOMPREHENSION." and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.562 |
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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: @MerenthaProphet - the Hunter in this way, content and joyous in simple, domestic bliss? I cannot wait for word of who you truly are to -
Intensity class: | 1: slightly positive emotional state 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: @noveliciouss OMG, that's such a beautiful quote. #breathless #amwriting
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: And you as well! #sparkling @cherebork @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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Given the emotion fear and the tweet "Saga: When all of your devices and teles fail just in time for bake off #panic #gbbo", 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. | 3: high amount of fear can be inferred |
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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: Mate the thing I get excited about in my profession are mad. A client said she opened her bowels, I'm rejoicing
Intensity class: | 2: moderately positive emotional state can be inferred |
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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: Brad Pitt being investigated for child abuse?! this all just got really #dark
Intensity class: | -2: moderately negative emotional state can be inferred |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 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.
Tweet: If I spend even 5 minutes with you and you already irritate me I seriously will bitch you out until you shut up | 3: high amount of anger can be inferred |
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Evaluate the tweet for the intensity of the emotion sadness. The categories are as follows: 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: @icapturpix @DRUDGE_REPORT I agree. This current, ultra-left Democratic party lost a lot of members, including myself. I switched to Repub. | 0: no 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: Job interview in the afternoon #ek
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Your task is to measure the intensity of fear in the tweet: "-normal people scare me*". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.708 |
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For the tweet "@TJ_FASHO lmao clown my own hair I'm going to dread lmao", 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". | anger, fear, joy |
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Analyze the tweet "Another loss to city in the cup next ๐ ๐๐ cmon united! #revenge" 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". | anger, disgust, sadness |
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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: I saw someone discourage someone from following their dreams. Just because you want to live in mediocrity doesn't mean someone else should.
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
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Consider the emotion joy and the tweet "@grahnort wonderful experience watching you yesterday at. @BBCLetItShine thankyou for the". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.708 |
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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: The time has now come that we have to combat this wave of #terrorism with the right tools of the trade. - HH @YounusAlGohar #BanWahhabism
This tweet contains emotions: | anger, disgust, fear, optimism |
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Consider the emotion fear and the tweet "horrid having a car n no liscence". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.625 |
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Determine the emotional tone of the following tweet: "@SkyNews err I wasnt gloomy. 17.2 mio people were not gloomy only #remain were #Brexit". 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". | disgust, sadness |
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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: @Harry_Styles you're the smile to my face and the beat to my heart. Thanks for being kind as much as you can be. Mind following me?๐ 96,127 | 3: high amount of joy can be inferred |
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For the tweet "Liam is too distant makes me mourn ๐ช", assess the intensity of the emotion sadness. Choose one of the following: 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: 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: Henderson showing that when times are hard he leaves or goes missing #AFLCatsSwans #seenitbefore #lions #blues
Emotion: sadness
Intensity class: | 0: no sadness 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: When we give cheerfully and accept gratefully, everyone is blessed.\nยปMaya Angelou\n\n@DrMayaAngelou #RIP #MayaAngelou
Emotion: joy
Intensity score: | 0.440 |
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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: Jeans with fake pockets
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: Watch this amazing live.ly broadcast by @flydudern #lively #musically
Emotion: joy
Intensity score: | 0.538 |
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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: Being alone is better than being lonely. Know what is worse than being lonely? Being empty; that's right!\n #Loneliness #aloneinthecity
This tweet contains emotions: | disgust, pessimism, sadness |
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Analyze the tweet "1Pet 4:7 But the end of all things is at hand: be ye therefore #sober, and #watch unto prayer" 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". | optimism, sadness |
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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: @keyshamackie it's fucking dreadful for live footy matches
This tweet contains emotions: | anger, disgust, fear |
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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: If I spend more than ยฃ10 in shimmy on ยฃ1 drinks I'll be raging, but we all know it's gonna happen
Intensity class: | -2: moderately negative emotional state can be inferred |
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Assess the level of fear present in the following tweet: "i had a hard time falling a sleep and woke up several times because i was afraid of bugs crawling on me and i ended up waking up with a bite". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.854 |
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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: The Apocalypse has hit our gym and it's nothing what I thought it would be...\n\nEveryone is wearing vests! What if it's contagious?
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Examine the tweet "There's a certain hilarity in people angry at protests against the national anthem or the flag when these acts are covered by 1st Amendment." 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: 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 lost my wallet lol.... again....
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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Read the tweet "Hey NASCAR fans. Are you going to the race in Loudon this weekend? Why not stop by New Day Diner for a great hearty breakfast before you go" 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. | 1: slightly positive emotional state can be inferred |
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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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18
Emotion: fear
Intensity score: | 0.417 |
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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: #beyond naming & shaming ; lies a vast space b/w #sanctions & #terror state...v *wait til Others #impose it...& do not hv COURAGE #ourselves
Emotion: fear
Intensity class: | 1: low amount of 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: me: tis a dreary day today\nfriend: he's a teenager not Shakespeare's reincarnation \n\nim such a dumbass lol
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
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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: I can't imagine keeping malice with my brothers!! I shudder when I see siblings estranged and all | 1: low amount of fear can be inferred |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly sadness is expressed in this tweet: "@thetroche94 @ramiro_cedeno yeah if you want to become obese it is! ๐
I can afford it so I don't think it's that serious haha". | 0.208 |
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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: A Leopard never changes its spots! #lost
Emotion: sadness
Intensity class: | 0: no sadness 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: @5ftanomaly aside from that i'm all about pleasing the individual that i'm involved with, my pleasure comes from their pleasure.
Emotion: joy
Intensity score: | 0.558 |
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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: @JoeGoodmanJr. A solution. But the assumptions by media in articles and every other venue causes animosity to the conversation.
Emotion: anger
Intensity score: | 0.354 |
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Analyze the tweet "@Lesdoggg take me with you!! JK. Have fun, relax, get a massage or two and chill. Don't eat the cucumbers, most places frown on that." to classify the intensity of the emotion sadness. Your 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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Analyze the tweet "Stop tracking back you fucking potato faced cunt errrr infuriating ๐ ๐ ๐ ๐ ๐ #angry #Rooney #mufc" 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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Using the tweet "Thursdays at 6pm Vespers & Meditation #prayerful #plainsong #multisensory #candles #incense #psalms #music #silence #faithful sing or listen", 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". | joy, love, optimism |
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Assess the level of the emotion joy in the tweet provided. Use the following categories: 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: Every Wednesday I like to visit the inmates at Arkham. Deliver a fruit basket. And a cheery bouquet of enhanced interrogation. | 1: low amount of joy can be inferred |
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Given the tweet "Wrinkles should merely hide where frown have been. - Mark Twain" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.125 |
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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: @headfirst_dom I often imagine hoe our moon would feel meeting the jovial moons which are all special
Emotion: joy
Intensity score: | 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: Action is the foundational key to all success ~Pablo Picasso #inspiring #quote #action #hustle #dosomething #success
This tweet contains emotions: | joy, optimism |
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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 have a job interview with @BarclaysUK in Loughborough next month !!!
Emotion: fear
Intensity score: | 0.354 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly fear is expressed in this tweet: "Not setting an alarm to nap >>". | 0.160 |
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Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: @Owlman2011 @charitypricey @jon_newsome @PRAWNSANDOWl @smith_alister @MikeConnelly9 average 22000 for the massif... #shocking
This tweet contains emotions: | anger, disgust, surprise |
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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: @Alanafergusson snap meee
This tweet contains emotions: | neutral or no emotion |
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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: Y'all bitches be so angry and bitter, that must truly suck lol
Emotion: anger
Intensity score: | 0.708 |
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Analyze the tweet "@DJ_JeanFranko growl!!!" 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". | anger, disgust |
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Assess the emotional intensity of fear in the following tweet: "Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter #shocking". Answer with a number between 0 (least intense) and 1 (most intense). | 0.629 |
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Read the tweet "@pxrfectpeach it's got her little pout" 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. | 0: neutral or mixed emotional state can be inferred |
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Assess the level of anger present in the following tweet: "Congress acting indignant over the #EpiPen pricing is quite disingenuous since they craft the laws that allow such gouging!!". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.396 |
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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: @delon03 can you at least just walk past her and break out into laughter
Intensity class: | 0: neutral or mixed emotional state 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: can't believe Achilles killed me! #angry
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: Like I said โก there's plenty of cheddar in the cheese to go around! For everyone. โบ #smile
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Assess the emotional intensity of anger in the following tweet: "@Markk1872 Red heads are more fiery.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.280 |
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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: Once again the only thing on my feed is naay raging about something and my brother filling in all the gaps
Intensity score: | 0.350 |
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Given the tweet "@kateracculia @themathofyou It's true! I reverse-engineered the drink. It's a scientific method. I hear it's all the rage.", 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, joy, optimism |
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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: Lil reminder that my private account is a delight of shittalking and occasionally NSFW stuff! @AngryArchosaur
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Read the tweet "@simonschuster @StephenKing @BuzzFeed And don't forget a fear of St. Bernards. #Cujo" 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: 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: I love when #girls are busy in teaching how to #pout while taking #selfie in a mall , their desication is immense #women love #perfection
Intensity class: | 2: moderately positive emotional state can be inferred |
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Your task is to measure the intensity of joy in the tweet: "TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #ุงูุฎูุฌู". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.769 |
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Assess the level of the emotion fear in the tweet provided. Use the following categories: 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: @EASPORTSFIFA EA sports technical support team really suprised me ๐ SUPRISED ME AT HOW SHIT THEY WERE | 0: no fear can be inferred |
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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: it's sad when you talk to someone about ya past n how it fucked you up and then they do the same thing like people really don't have hearts
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Evaluate the following tweet and classify the emotional state of the author into one of these 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: @MendipHillsAONB do we think the swallows and swifts have gone? Photo'd 3 nights ago, not seen since. #Autumn | -1: slightly negative emotional state 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: @virginmedia I've been disconnected whilst on holiday ๐ค but I don't move house until the 1st October ๐ค #furious
Emotion: anger
Intensity class: | 3: high amount of anger 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: @AmyMek this is so absurd I could laugh right now (if I also didn't feel like crying for the future of our country). #despair #wakeupcall
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Using the tweet "I was literally shaking getting the EKG done lol ๐", 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". | fear, joy |
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Assess the emotional intensity of sadness in the following tweet: "*wants body to look a certain way*\n*eats 3 cookies, mac n cheese, kitchen sink, and small neighbor child*". Answer with a number between 0 (least intense) and 1 (most intense). | 0.375 |
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Classify the emotions found in the tweet "@VosachResrus ^'ll just #wobble carry you #sink". 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". | anticipation, disgust |
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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: We floated like butterflies. Now you sting like bees!'
Emotion: anger
Intensity score: | 0.271 |
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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: I can definitely feel my irritation today, lord give me strength
Emotion: anger
Intensity score: | 0.667 |
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Analyze the tweet "When my life became such a concern to irrelevant ass people I'll never know" 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". | anger, disgust |
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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: This is the scariest American Horror Story out of all of them... I'm gonna have to watch in the daytime. #frightened
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Classify the emotions found in the tweet "All in all a pleasing night down The Lane . . . On to the next round & bring on Liverpool at Anfield! #COYS". 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". | anticipation, joy, surprise |
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Analyze the tweet "So she goes first. She gets her book signed & I can barely take their picture cuz I'm shaking ๐ญ๐ญ๐ญ๐ญ๐ญ" 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, joy, sadness |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 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.
Tweet: Egyptian officials expressed frustration and outrage over the Obama/Hillary administrationโs support of the Muslim Brotherhood | 2: moderate amount of anger can be inferred |
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Given the emotion joy and the tweet "I am always ready to .", rate the intensity of joy shown. The rating scale is: 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. | 1: low amount of joy 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: @RussellHartness @Mariners @BlueJays : Wrongdoing! Grrr. After the fact, I know, but emailing displeasure now anyway .
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: SOMEONE LET SNAKES IN MY HOUSE, I BET IT @Ya_Boi_Huck I KILL THAT BUGGER WHEN I GET MY HANDS ON HIM #rage #HuckFP2
Emotion: anger
Intensity class: | 3: high amount of anger 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: Even a pencilโ never #stayed with me until it's #end โซ ๐
This tweet contains emotions: | pessimism, sadness |
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Analyze the tweet "While I was walking, a little boy in a red shirt(5/6 years of age) shouting from a distance of 3 meters, in a jovial manner saying..." and quantify the intensity of the emotion joy. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.620 |
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Let's gauge the sentiment intensity of the tweet "@Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster.". Assign a real number within the range of 0 to 1, with 0 representing highly negative and 1 representing highly positive. | 0.121 |
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Classify the emotions found in the tweet "My prayers are with the family, friends & members of @VCFD as you mourn the loss of Engineer Ryan Osler. #LODD #RIP". 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". | 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: It's not that the man did not know how to juggle, he just didn't have the balls to do it.\n#funny #pun #punny #lol #hilarious
Emotion: joy
Intensity score: | 0.688 |
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For the tweet "@judahandthelion TONIGHT. Legit can't wait to rage ๐ค๐ป๐ค๐ป๐ค๐ป๐ค๐ป๐ค๐ป๐ฅ", 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. | -2: moderately negative emotional state can be inferred |
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From the tweet "@asjoshtaylor sadly I don't think I'll see you on tour, but have fun, you're gonna rock! ๐๐๐ป๐ #HotForMeTour", 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, sadness |
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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: @BrumSciComm in a danish. What horror, what depths. #gbbo
Emotion: fear
Intensity score: | 0.542 |
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Determine which emotions are present in the tweet "@realDonaldTrump @KellyannePolls New campaign slogan idea...'I know you are but what am I?' #Trump2016 #yourefired #deflect". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger, disgust |
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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: Newly engaged Stevie Wonder has been trying to disguise #the #awful smell from his throat: with a leather jacket made from a broken Wii.
Emotion: fear
Intensity class: | 0: no fear can be inferred |