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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: They're like the rape apologists who (inadvertently?) make men sound like rabid, mindless beasts. With friends like these...
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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: @againstallaudss @groovydadad @Thelostchild5 @MHChat indeed & is sadness unavoidable? #MHChat
Emotion: sadness
Intensity score: | 0.688 |
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: 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 |
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: 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 |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: I don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes
Emotion: anger
Intensity score: | 0.438 |
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: @VosachResrus ^'ll just #wobble carry you #sink
This tweet contains emotions: | anticipation, disgust |
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: Everything is far away because time is short, no rest for the weary.
Emotion: sadness
Intensity score: | 0.521 |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster.
Intensity score: | 0.121 |
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: My heads still in Ibiza but my body is sat at me desk at work #depressing
This tweet contains emotions: | sadness |
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 |
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: someone kik me @ montanashay_ \n#kikme #snap
Emotion: anger
Intensity score: | 0.250 |
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 |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental 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 |
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: @SusannahSpot I could pop round
Emotion: fear
Intensity score: | 0.250 |
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: @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 |
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: Kernel panic = sweating, sneezing, hiccuping, snot, tears, crying. Clearly my body has an issue with chilli.
This tweet contains emotions: | fear, sadness |
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: 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 |
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: 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 |
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: 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 |
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: Houston might lose a coach tomorrow or by midnight. #yikes #offense?
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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: @Hails_Berry8 @sajedhariri23 varsity pine riding
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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 sulk too much for my own good.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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: Always hurting somewhere..... ALWAYS tired ....when are you lively ??
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: @ChronAVT ummm, the blog says 'with Simon Stehr faking 7th'...I'll expect an investigation forthwith. This is an
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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: 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 |
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: 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 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | 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.
Emotion: joy
Intensity score: | 0.220 |
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: @eachus At least he's willing to discuss, better than most. That and keep the insults light with occasional levity or creative BS-ing,
Emotion: joy
Intensity score: | 0.320 |
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 |
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: @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 |
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental 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 |
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: Are you serious??
Emotion: sadness
Intensity score: | 0.292 |
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: 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
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: @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 |
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: terror attacks in usa pay no mind lol
Emotion: fear
Intensity score: | 0.479 |
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'm absolutely in love with Laurie Hernandez, she's so adorable and is always so cheerful!
Emotion: joy
Intensity score: | 0.788 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati
Emotion: fear
Intensity score: | 0.400 |
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: @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 |
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: @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.
This tweet contains emotions: | anger, disgust |
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: 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.
Emotion: joy
Intensity score: | 0.580 |