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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: @Sargon_of_Akkad It'll be like burning rap albums; they'll have to buy it first, but gosh darn it, they have to get rid of it.
This tweet contains emotions: | anger, disgust, pessimism |
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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: So unbelievably discouraged with music as of late. Incredibly behind on Completing my album. Not digging this at all.
Emotion: sadness
Intensity score: | 0.604 |
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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: Somewhere between #hope and #despair the day after #meetingmyabuserincourt \n#DVSurvivor
Emotion: sadness
Intensity score: | 0.810 |
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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: Manchester United v Manchester City #happy days #EFL
Intensity score: | 0.758 |
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From the tweet "When we give cheerfully and accept gratefully, everyone is blessed.\nΒ»Maya Angelou\n\n@DrMayaAngelou #RIP #MayaAngelou", 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, sadness, trust |
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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: @Thebeast_ufc what happened to the suicide tweet it was a joke obviously how could that offend anyone?π€
Intensity class: | -1: slightly negative emotional state can be inferred |
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For the tweet "@mackenzian yes! That was my one qualm. These are deeply theological issues we're engaging theologically." 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. | 0.229 |
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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: And I cried in front of my guy last night. And it's just been a horrible week but it's only for a week
This tweet contains emotions: | disgust, fear, pessimism, sadness |
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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: @amstrado_CPC @ShittySUFanart the single tear is him being joyous that he's deleted the monster that has brought generations of despair
Intensity score: | 0.667 |
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For the tweet "1Pet 4:7 But the end of all things is at hand: be ye therefore #sober, and #watch unto prayer", 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. | 1: low amount of sadness can be inferred |
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Using the tweet "Special thanks to @hamsterwatch & @UgotBronx for keeping us updated & entertained this dismal BB season π", 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, optimism |
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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 mean I'm not done watching the pilot, but it's nice to see a group of actors perform without story lines dripping relentless nihilism.
This tweet contains emotions: | anger, disgust, joy, optimism |
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Evaluate the tweet for the intensity of the emotion anger. The categories are as follows: 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: Colors of the leaves are- changing. Heatwaves in LA still- raging. Lattes made in batches. Visit pumpkin patches. #FallSongs | 0: no anger 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: 13 hour @bus rides make me #angry #sorry
Emotion: anger
Intensity score: | 0.688 |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 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: @KMunie7 @KaranEsch Helluva lot more animated than they were for the actual game >.< | 0: no joy 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: Bloody parking ticket ππΈ #fuming
Emotion: anger
Intensity score: | 0.792 |
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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: #nana 4 hoco bc my dream since freshman year awe πβ€β€β€ @thecandeyman
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @CurtisJobling Yes indeed! We know masses of students would be so excited to see you! We need to get this sorted! #haunt
This tweet contains emotions: | fear, joy, optimism |
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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: @Gronnhair @buryprofs @DittoBistro it was indeed lovely and the team were incredibly attentive and on the ball. Cheese was a lively gesture!
Emotion: joy
Intensity score: | 0.646 |
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Determine the valence intensity of the following tweet, considering the mental state of the author. Assign a real number between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive.
Tweet: @MaxVenator We've had no foreign policy but have had goofy Secretary of State John Kerry with his devil may care pose and jaunty blue scarf. | 0.462 |
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Assess the level of the emotion sadness in the tweet provided. Use the following categories: 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: Buddha doesn't possess enough power to deliver you from your affliction! | 2: moderate amount of sadness can be inferred |
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Given the emotion fear and the tweet "@PridefulSamurai horrible things", 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. | 2: moderate amount of fear can be inferred |
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Please determine the intensity of the emotion fear in the tweet "@NinjaWorrier @ali_zimmer @m_pattison How long ago was that? (I shudder to think.)". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.625 |
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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: im crying katherine is the only one whos like talking to me during my anxiety attack im gonna faint
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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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: Whatever you decide to do make sure it makes you .
This tweet contains emotions: | joy, optimism, trust |
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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: Drop Snapchat names #bored #snap #swap #pics
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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: Such merriment & laughter from @dadwroteaporno at @KingsPlace & an instructional PowerPoint presentation.Well done to all concerned & thanks
This tweet contains emotions: | joy, optimism |
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For the tweet "Henny and pine apples π€", 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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Please analyze the tweet "My Modern Proverb: 'Don't let anyone intimidate you about being single; most marriages end in divorce.'" 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". | disgust, pessimism, sadness |
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Given the emotion anger and the tweet "Love the new song I can't stop thinking about you by #sting.", 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. | 0: no anger can be inferred |
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From the tweet "@ADenkyirah Happy birthday! Hope you have a wonderful day filled with lots of joy and laughter <3 (despite tumblr being a jerk- once again)", 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, love, optimism |
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Analyze the valence intensity of the tweeter's mood conveyed in the tweet "This night is sparkling don't you let it go,\nI'm wonder struck,\nBlushing on the way home.'". Offer a real-valued score ranging from 0 to 1, where 1 indicates the most positive and 0 indicates the most negative sentiment. | 0.630 |
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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: @NikhilTikare i like cold gloomy weather
This tweet contains emotions: | joy, love, trust |
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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: Punchline king is back! @Paedeezy π₯π₯π₯π₯π₯π₯π₯π―π―π― #bright city lights
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: 10 minutes with an incense and all I get is 2 Rattatas. π#PokemonGO
This tweet contains emotions: | anger, anticipation, disgust, surprise |
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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: @LeePorter94 @DomMcGovern_ hi Dom I saw u at Notts county away, looking for 1 mufc away ticket will pay
Emotion: sadness
Intensity score: | 0.312 |
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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: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me π
Emotion: anger
Intensity score: | 0.271 |
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For the tweet "Just told me wife there was a chance it would be 2 Sydney teams in AFL grand final. Her response: 'there's two SYDNEY AFL teams?' #serious", 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. | 0: no sadness can be inferred |
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Analyze the tweet "@CapehartJ agree! Those latest polls #alarming" 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, sadness, surprise |
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For the tweet "If I was a ghost I'd haunt people by giving them cramps in both of their legs when they do cardio πππ #Mwahaha", 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". | fear, joy |
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Given the emotion anger and the tweet "Manchester derby at home #revenge", rate the intensity of anger shown. The rating scale is: 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. | 0: no anger 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: I'm going to get the weirdest thank you note--or worse--total silence and no acknowledgement.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Assess the level of fear present in the following tweet: "@ManUtd it was a terrible Freekick...". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.347 |
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Given the tweet "Check out this #film Robocoq 301 #animated #shortfilms" and the emotion joy, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.440 |
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Classify the emotions found in the tweet "@kerrybowen_ you have anger issues!". 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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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: Me and these burns that I pick up off the pitches don't get on at all like π’π’
Emotion: anger
Intensity score: | 0.438 |
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Analyze the emotional tone of the following tweet and classify it into one of the given categories. Possible categories 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. Tweet: Q&A with N. Christie @westernuHistory: fr. @marybethstart: What would Peter and Dardanella think of us knowing? #poorthings | -2: moderately negative emotional state can be inferred |
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Classify the emotions found in the tweet "@Ganypede I notice that nice people believe in a nice god and horrid people believe in a horrid god who happens to hate everybody they hate.". 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". | neutral or no emotion |
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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: I'm honored to take on such a role in their joyous day. Hopefully I don't fuck it up
This tweet contains emotions: | anticipation, fear, joy, optimism |
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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: My nephews n cousins are nowhere near bad guys, but they could be killed @ any moment by a cop that thought they were bc of their color | 3: high amount of sadness can be inferred |
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Your task is to measure the intensity of anger in the tweet: "@lmench i'm actually offended by it. naming the most fattening sandwich after a man who died of coronary disease likely due to his diet?". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.625 |
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For the tweet "@PatBlanchfield so you mean βlike Uber but for despair for someone other than the driver'", 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. | 1: low amount of sadness 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: You know you're in love when all you can do is smile whenever you talk about how he is to someone.
Intensity score: | 0.621 |
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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: Anger is cheap and politeness is expensive. Don't expect everybody to be polite. #ThoughtfulThursday #anger #politeness
Emotion: anger
Intensity score: | 0.312 |
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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: #panic Panic attack from fear of starting new medication
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Analyze the tweet "@Lexual__ @jdspielman10 RIP to the 100s of black men,, women,CHILDREN killed in Chicago. Where is the outrage?" 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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For the tweet "Gaaaaaaaad! Should have stayed in London!", 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. | 2: moderate amount of sadness 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: @ChibiReviews Post series depression can be quite bad, but it will get better, I bet someone will pick the novel soon in the west.
This tweet contains emotions: | optimism, 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: a #monster is only a #monster if you view him through #fear
This tweet contains emotions: | fear, optimism |
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Classify the emotions found in the tweet "Never let the sadness of your past ruin your future". 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". | optimism, sadness |
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Read the tweet "Idk why people be glorifying depression. I wouldn't wish real depression upon my worst enemy. Shits the worst stop acting like it's cool" 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. | 3: high amount of sadness 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: @rupindxr my heart actually sunk looooool I was so confused
This tweet contains emotions: | 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: βWorry is a down payment on a problem you may never have'. Β Joyce Meyer. #motivation #leadership
Emotion: fear
Intensity score: | 0.292 |
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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: And 9/10 the character is a woman. Because if a man is fat he's jovial. If a woman is fat she's useless and maybe evil amirite?
This tweet contains emotions: | anger, disgust |
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Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Been up since 4am. Too scared to go back to sleep #nightmare β feeling scared
This tweet contains emotions: | fear, pessimism, sadness |
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Analyze the tweet "@Dak2future decorations are up all over Jersey already #outrage" 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. | 2: moderate amount of anger 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: βbut he just can't. He feels tired but also restless. So here he now, scrolling his own music player, playing some music through hisβ
Emotion: fear
Intensity score: | 0.354 |
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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: I wanna go to fright fest with squad | 0: no fear 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: @Gielnorian @HedonismGaming cmode grimrail made me want to eat angry bees
This tweet contains emotions: | anger, disgust |
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Consider the emotion sadness and the tweet "@BigBossPeltonen \nLikewise #death #cutting #despair". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.729 |
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Determine the valence intensity of the following tweet, considering the mental state of the author. Assign a real number between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive.
Tweet: Aw there's a young fox outside on the grass just jumping around all playful and having a little stretch π soo cute πΊ | 0.781 |
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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: ο©ο©ο©ο© heads melted, very tired but can't sleep.
This tweet contains emotions: | pessimism, sadness |
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For the tweet "@jamiesmart Huh! It's always my fault isn't it >:( #huff #sulk", assess the intensity of the emotion anger. Choose one of the following: 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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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly fear is expressed in this tweet: "@LucidHurricane_ wait, you mean he wasn't armed with a book? #shocking". | 0.398 |
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Analyze the tweet "Crossfit houston-la homefolks as for spry proprieties regimes: AJaFUE" to classify the intensity of the emotion joy. Your options are: 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. | 0: no joy can be inferred |
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Your task is to measure the intensity of joy in the tweet: "Impractical Jokers...practically genius!!! @BQQuinn #good4thesoul #ImpracticalJokers #bingewatching". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.750 |
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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: Tip 5: Don't worry about pleasing everyone. #TitanWisdom
This tweet contains emotions: | optimism |
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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: That's fucking horrific defending from Schalke
Emotion: fear
Intensity score: | 0.562 |
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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: Who actually chooses to drink sparkling water π€
Emotion: joy
Intensity score: | 0.208 |
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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: Well my evaluation came back and i am minimally effective. Student test scores on the PARCC sunk my eval. it's time for me to quit teaching
Emotion: sadness
Intensity score: | 0.812 |
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Given the tweet "when season 13 of greys anatomy premieres today. it you're only on season 7 #sadness :(" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.625 |
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Assess the level of fear present in the following tweet: "If you ain't shaking no ass, don't ask me for my liquor. Rule #1..". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.292 |
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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: @TalesofanAlfa @David_Milloy \nI like your thinking...but sadly no - that's the shed π’
This tweet contains emotions: | sadness |
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For the tweet "@markhberman2003 @LanceZierlein @790blessing entire team from coaches on down played and coached scared from jumpstreet." 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. | 0.542 |
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Consider the tweet "Literally dying & living at the same time as I catch up on @adrian_ver 's twitter. If you aren't following him your life is BASIC." and determine the tweeter's emotional state. Choose from: 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 given tweet "@MeghanEMurphy Oh gosh, if you get 800+ raging comments from cruise fans, I will just die laughing!", 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. | 3: very positive emotional state 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: Like he really just fucking asked me that.
Intensity class: | -2: moderately negative 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: @StaceyDavidson_ You're a thief and a liberal mope, investigated by the financial services board for theft of govt retirement funds. THIEF
Emotion: sadness
Intensity score: | 0.667 |
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Analyze the tweet "A not very young man compiled info on a smiling baby then a mattress created new evil." to classify the intensity of the emotion joy. Your options are: 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. | 0: no joy can be inferred |
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Given the tweet "Research has determined 70% of #laughter is actually #anxiety." and the emotion joy, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.231 |
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For the tweet "And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.", 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, disgust |
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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: The feeling of taking someone's life is either scarring or exhilarating, but for people need to realize that we're going to die at some--
This tweet contains emotions: | anger, disgust, fear, sadness |
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Determine which emotions are present in the tweet "@SSheil coincidentally watched Ulzana's Raid last night - brutally indignant filmmaking.". 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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Analyze the tweet "I feel like an appendix. I don't have a purpose. #sad #depressed #depression #alone #lonely #broken #sadness #cry #hurt #crying #life" 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. | 3: high amount of sadness can be inferred |
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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: May a man live well-, and long-enough, to leave many joyful widows behind him.
Intensity score: | 0.534 |
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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: #twitter #users Tweeting on twitter is like playing a game against the computer. Where's the life, Everyone too #afraid to say something?
This tweet contains emotions: | disgust, fear, pessimism |
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Review the tweet "Sioux Valley wins home competitive #cheer invite with a score of 158. ...Dell Rapids second at 138" and assign it to one of the emotional state categories. The categories 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. | 0: neutral or mixed 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: @Nick_Offerman & @MeganOMullally 's #Summerof69 show was raw sexuality and pure #mirth ! Thanks for the belly laughs and butt sex japes!
This tweet contains emotions: | joy |
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Given the tweet "The #secret to all of every industry: just #start doing it...somehow people forget that they never gave you #permission.' - @thomaslennon", 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, optimism |
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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: @TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor !
Emotion: joy
Intensity score: | 0.500 |