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Given the emotion anger and the tweet "They're like the rape apologists who (inadvertently?) make men sound like rabid, mindless beasts. With friends like these...", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 2: moderate amount of anger can be inferred |
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Task: 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: @againstallaudss @groovydadad @Thelostchild5 @MHChat indeed & is sadness unavoidable? #MHChat
Emotion: sadness
Intensity score: | 0.688 |
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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: From harboring Osama bin Laden to its relationship with Haqqani network, there is enough evidence to prove Pakistan is sponsoring terrorism
This tweet contains emotions: | anger, anticipation, disgust, fear |
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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: If you want others to be #happy, practice #compassion. If you want to be happy, practice compassion.' Dalai Lama
Emotion: joy
Intensity score: | 0.555 |
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Analyze the tweet "I don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes" and quantify the intensity of the emotion anger. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.438 |
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Given the tweet "@VosachResrus ^'ll just #wobble carry you #sink", 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 |
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Given the tweet: "Everything is far away because time is short, no rest for the weary." and the emotion: sadness, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.521 |
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Assess the sentiment intensity of the tweet "@Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster." based on the mood of the author. Provide a rating from 0 to 1, where 0 signifies extremely negative and 1 signifies extremely positive. | 0.121 |
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Examine the tweet "My heads still in Ibiza but my body is sat at me desk at work #depressing" 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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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 #smile brightens your day and the day of everyone around you, so remember to #smile, it's #free. :-)
This tweet contains emotions: | joy, love, optimism |
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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: someone kik me @ montanashay_ \n#kikme #snap
Emotion: anger
Intensity score: | 0.250 |
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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: @hm_custserv #awful service at your Camden store yesterday. Assistants thought it more important to put clothes on hangers than serve.
This tweet contains emotions: | anger, disgust |
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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: @RonMexico760 The guy who calls people 'cuck' and is anti-BLM is offended by idea that he might not be pro-policing reform? That's amazing.
Intensity class: | 1: slightly positive emotional state can be inferred |
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Consider the emotion fear and the tweet "@SusannahSpot I could pop round". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.250 |
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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: @RadiateZen That's true, it does go both ways. But I've been on the receiving end of a vegans wrath! Lol! I personally wouldn't condemn
Emotion: anger
Intensity class: | 1: low 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: Kernel panic = sweating, sneezing, hiccuping, snot, tears, crying. Clearly my body has an issue with chilli.
This tweet contains emotions: | fear, sadness |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: But when my mom told me yesterday that it was looking grim and I started driving out there, I was told to turn around b/c she was too sick
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: My roommate turns the sink off with her foot to avoid germs and a guy says 'YOUR roommate is feet girl?! I'm so sorry' plz help
This tweet contains emotions: | disgust |
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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: why yall hyped abt that girl getting to hang out w JB, he clearly looks so unhappy and bored in the pics no offense LOL, plus he hates yall
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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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: Houston might lose a coach tomorrow or by midnight. #yikes #offense? | 0: no anger can be inferred |
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Given the emotion sadness and the tweet "@Hails_Berry8 @sajedhariri23 varsity pine riding", 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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Analyze the tweet "I sulk too much for my own good." 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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For the tweet "Always hurting somewhere..... ALWAYS tired ....when are you lively ??", classify the intensity of the emotion joy. The possible classifications 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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Read the tweet "@ChronAVT ummm, the blog says 'with Simon Stehr faking 7th'...I'll expect an investigation forthwith. This is an" 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. | 2: moderate amount of anger can be inferred |
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Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: You ever just be really irritated with someone u love it's like god damn ur makin me angry but I love u so I forgive u but I'm angry
This tweet contains emotions: | anger, love |
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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: Yay bmth canceled Melbourne show fanfuckingtastic just lost a days pay and hotel fees not happy atm #sad
This tweet contains emotions: | anger, disgust, sadness |
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Please determine the intensity of the emotion joy in the tweet "$SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated.". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.220 |
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Consider the emotion joy and the tweet "@eachus At least he's willing to discuss, better than most. That and keep the insults light with occasional levity or creative BS-ing,". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.320 |
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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: If ydu yell 'fire' in a crowded theater you will burst into flames. It's a cool trick, bu: only once.
Emotion: anger
Intensity score: | 0.396 |
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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: @tcarrels \nSo when exactly did you lose your mind, pal? \n#Trump #fraud #misogynist #liar #psychopath #narcissist #revolting #conartist
This tweet contains emotions: | anger, disgust |
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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: Never make a #decision when you're #angry and never make a #promise when you're #happy. #wisewords
Intensity class: | 1: slightly positive emotional state can be inferred |
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Assess the emotional intensity of sadness in the following tweet: "Are you serious??". Answer with a number between 0 (least intense) and 1 (most intense). | 0.292 |
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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: Some vile piece of scum rejoicing in the fact that you have dead children is inhuman and to say it to me is worse still. I hope karma knocks | 0: no joy can be inferred |
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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: @Megannn_walsh12 @itsshelleeey never said that,Just not fair how Yous think it's completely okay to bully someone
This tweet contains emotions: | anger, disgust |
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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: terror attacks in usa pay no mind lol
Emotion: fear
Intensity score: | 0.479 |
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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: I'm absolutely in love with Laurie Hernandez, she's so adorable and is always so cheerful!
Emotion: joy
Intensity score: | 0.788 |
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For the tweet "The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati" 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. | 0.400 |
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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: @GoPro your UX online is appalling! No clear save button, not being able to use any generic TLD's #unhappy
Emotion: sadness
Intensity score: | 0.708 |
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Determine the emotional tone of the following tweet: "@jennylhowe I am angry at the student for being a racist, and the teacher for not stopping it, and at the class for letting it go by.". 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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Please determine the intensity of the emotion joy in the tweet "The object of literature is to make man a wiser and happier being. The poet makes us happy because he tells us how we may become so.". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.580 |