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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: Having one of those #angry days. I will have to stop watching #news.
This tweet contains emotions: | anger, disgust |
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: @arunjaitley pls do the action immediately against terror. Otherwise innocent people will die.
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk
This tweet contains emotions: | disgust, fear |
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: Accept the challenges so that you can feel the exhilaration of victory. -George S. Patton
This tweet contains emotions: | joy, optimism |
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: Thatmoment you're watching #worstcelebritycooks and your bubble is burst by finding out KyleXY is gay and married😭 #nochance #KindaDontMind😉
Emotion: anger
Intensity score: | 0.479 |
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: Now this is getting out of hand. I'm freaked out by this death...and I'm God!! #mommaGrendel #intimidation
Emotion: fear
Intensity score: | 0.833 |
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: That you have banished your own sadness, the way I am? #somber
Intensity score: | 0.433 |
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 have the best girlfriend in the world 😍 #blessed
Emotion: joy
Intensity score: | 0.871 |
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: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic.
Emotion: joy
Intensity class: | 1: low amount of joy 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: I'm at the point in my life that I'm playing Christmas music in my room because i need winter and joyful times rn
This tweet contains emotions: | joy |
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: a lot of universities actively discourage even just one part-time job because it has a negative impact on studies--
Emotion: anger
Intensity score: | 0.375 |
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: It breaks my heart seeing people down or upset.. I will try my best to make them smile or cheer them up 🤗
Emotion: joy
Intensity score: | 0.438 |
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: My boyfriend is my whole world 😭
Emotion: fear
Intensity score: | 0.540 |
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: @MariamVeiszadeh it's getting so close in your poll so many ignorant ppl. #depressing #painful something needs to change #BeTheChange ? How?
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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: You're so cute @katienolan #truelove #hilarious @GarbageTime #beautiful & #graceful never heard explicits spoken with such elegance. #Mingo
This tweet contains emotions: | joy, love, optimism |
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: @patthemanager how could I work with @chancetherapper . ? #serious
This tweet contains emotions: | anger, disgust, pessimism |
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: @veroicone my typical shake is ~100g banana, 1c almond milk, 1tbsp chia and protein. Sometimes I add PB2 or ice or other fruit.
This tweet contains emotions: | joy |
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: Woke up feeling fresh with a clear mind. That's never happened before.\n#morning #sober
Emotion: fear
Intensity class: | 0: no fear 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: anyways so i apologized & i hav rly bad anxiety guys so i just wanted to get out & start my errands so i did & i had to ~uber everywhere~
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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: @Ker_Anderson Maybe this evening if I can 😀
This tweet contains emotions: | joy, optimism |
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 miss when social media was a place to get laughs off and jump in DMs lol..... shit is depressing now 😞
Emotion: sadness
Intensity score: | 0.792 |
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: I was having a #BadDay and i went on #YouTube and watched @domoandcrissy reaction to old pics. #Thanks #ladies for the #laughs
Emotion: joy
Intensity score: | 0.578 |
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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n#education #playful #learning
Emotion: joy
Intensity class: | 1: low amount of joy 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: Why are people even debating on race inequality within our justice system like it's non existent? They're just trying to aggravate us.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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: Suddenly dreams of mine are coming true. #happy
Intensity class: | 3: very positive emotional state 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: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: @Skepta make sure you's Young breadrins sling us a quick vote #murky #skeng #votage
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @russbully Ended up paying 75p for half a tube of smarties. Don't even get the pleasure of popping the plastic lid off either
Emotion: anger
Intensity score: | 0.396 |
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: My soul is weary of fighting the battles in this world. #BlackInAmerica #WeAreNotSafe
Emotion: sadness
Intensity score: | 0.771 |
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: Just because I'm hurting \nDoesn't mean I'm hurt \nDoesn't mean I didn't get \nWhat I deserved \nNo better and no worse #lost @coldplay
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: You know you're in love when all you can do is smile whenever you talk about how he is to someone.
Emotion: joy
Intensity score: | 0.820 |
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: 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: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @JadeOdette_ Because one of them has to be wrong :) we just want to believe it's H&M haha 🙃
Emotion: joy
Intensity score: | 0.500 |
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: 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: Please stop ruining my depressing memes with your positivity and optimism
Emotion: anger
Intensity class: | 0: no anger 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: 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: 'your marker teacher'.i looked at him n just burst out laughing i swear these kids will never take me seriously 🤦🏻♀️
This tweet contains emotions: | joy, pessimism |
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: 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: again i realize some of you may worry about me being gone so long! fear not, for i have made a new life for myself in the sewers,
Emotion: fear
Intensity score: | 0.500 |
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: 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: Been at work for not even 4 hours and I've thrown boiling tea everywhere, smashed a mug, smashed a milk jug and sliced my finger open😐
Emotion: sadness
Intensity score: | 0.768 |
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: 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: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: @ADsXe Actually currently listen to that song as you tweeted me, #ironic
Intensity score: | 0.625 |
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: 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: 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: 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: At a groovy restaurant. Got a cheeseburger and fries. I don't discriminate. Rating; 5/7 #yummy #delicious #politicallycorrect
Emotion: joy
Intensity score: | 0.636 |
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 |