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For the tweet "@TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho" 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. | 0.146 |
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For the tweet "A pessimist sees the difficulty in every opportunity; an optimist sees the opportunity in every difficulty. \n― Winston S. Churchill #quote", 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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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: .@billradkeradio is not a fan of The Beat Happening. But that's not to discourage aspiring other Olympia musicians! #KUOWrecord
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Analyze the tweet "stg I been in pine bluff all morning and to piss me off even more, my damn shoes came in as a size 4!!!!!! I KNOW I SAID 6🙄🙄🙄🙄 FML" and quantify the intensity of the emotion sadness. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.583 |
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Given the emotion fear and the tweet "@Miami4Trump Yeah, but bad part is the #terrorism #terror Muslims won't be the ones leaving #ObamaLegacy #nationalsecurity #disaster #Obama", classify the intensity of the emotion displayed in the tweet. The classification options are: 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. | 1: low amount of fear can be inferred |
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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: How was Natalie one of the top three favorites?! #toofaced and #bitter 🙄
Emotion: anger
Intensity class: | 3: high 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: @BoardEveryday @turnorder @pinchback21 80s new wave/techno - or jazz / blues depending my mood
Emotion: sadness
Intensity score: | 0.271 |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the--
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Analyze the tweet "I am just so bitter today 😐" 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: 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: A cheerful heart is good medicine, but a crushed spirit dries up the bones -Proverbs 17:22-
This tweet contains emotions: | joy, optimism |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: You can make excuses or you can make time. You can't make both. #time #regret #LifeCoach
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "Light of day per heyday popularization backfire cinematography: XUcQb" and categorize the emotional state of the tweeter using these labels: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -1: slightly negative emotional state can be inferred |
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Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
Emotion: sadness
Intensity score: | 0.479 |
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Examine the tweet "@Elliot_Eastwick just play rappers delight and have a 15 minute kip" 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". | anticipation, joy, optimism |
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Given the tweet "@Devilligan It's a beautifully sincere balancing act of grief and hilarity." and the emotion joy, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.375 |
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Given the tweet "I want to pour all my tears on someone right now. So tired of this #upset" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.938 |
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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: Nice Idea collect all relevant socialmedia in one-But dont be automatic pls #worldsapp ⬅️ #chirp #appsworld #socialmedia @DanielFeuer merci🎈
This tweet contains emotions: | joy |
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Determine which emotions are present in the tweet "Get to work and there's a fire drill. #fire #outthere #inthedark". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger, disgust |
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Task: 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: second day on the job and i already got a 45 dollar tip from a dude whose was constantly twitching his eye LOLOLOL #cheering
Emotion: joy
Intensity score: | 0.854 |
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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: @BI_Science Opioid rapid pill plague...Speed generations Pulse Rapid rabid Impairment Ist Choice Stacked usage vs street ingestion demo US
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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: @_BlueCouture The hilarity of you people not realising that racism is racism regardless of whether one uses choice words is hilarious.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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: Watch this amazing live.ly broadcast by @hannah..mccloud #musically
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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Assess the level of joy present in the following tweet: "@CarolynTopol Ciara asks was it a sci-fi movie, Julie & Jen just stare, Claire on her phone, Joey bolts when the cab honks. LMAO #hilarious". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.820 |
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Determine which emotions are present in the tweet "@HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to". 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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Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: If any trump supporters and Hillary haters wanna chirp some weak minded, pandering liberals just tweet at @EmmyA2 @snickerfritz04 | 0: no joy can be inferred |
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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: I don't know what's worse, the new Pizza Hut commercials or the pizza that Pizza Hut makes. #horrible
Emotion: fear
Intensity class: | 0: no fear 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: @Groupon_UK who do I contact about a shocking experience with Clear Sky Holidays booked through you guys?? #customerservicefail #dreadful
Emotion: sadness
Intensity score: | 0.542 |
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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: @HuffPostUK NO greater wrath than a woman scorned.
This tweet contains emotions: | anger |
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Based on the emotional content of the tweet provided, classify it into one of these categories: 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. Here is the tweet: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate. | -2: moderately negative emotional state 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: i've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be.
This tweet contains emotions: | anticipation, fear, pessimism |
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For the tweet "Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values", classify the intensity of the emotion anger. The possible classifications 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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Assess the emotional intensity of anger in the following tweet: "Bloods boiling". Answer with a number between 0 (least intense) and 1 (most intense). | 0.708 |
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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: ok so i got my madden 17 refunded but now i gotta wait a few days for the money and now gotta pre-order fifa again....
Emotion: anger
Intensity class: | 1: low amount of 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: @StarklyDark 'I know you trusted me.' His words were soft as he ignored the anger and focused on the hurt beneath. 'I know I screwed up.' --
Emotion: anger
Intensity score: | 0.562 |
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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: Last night, the Rev. Dr. Earl Johnson spoke to Wake Progressive #Democrats on transforming #moral #outrage into effective political #action.
This tweet contains emotions: | anger, anticipation, disgust, optimism, 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: #Peiyophobilia :) An advice from @anirudhofficial don't fear for #Devil! Sure shot✌ @iam_str voice more energetic.Xtremly foot tapping one 👌
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Determine how strongly fear is expressed in the following tweet. Use the scale: 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: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad | 0: no fear can be inferred |
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Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: It's 5:55am. I'm hungry but there is no food. #panic
Intensity class: | -3: very negative emotional state can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: backed pats -2.5 10/11 just before #pleasing
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Given the tweet "#PeopleLikeMeBecause they see the happy exterior, not the hopelessness I sometimes feel inside. #depression #anxiety #anxietyprobz", classify the sentiment expressed by the author into one of the following categories: 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 negative emotional state can be inferred |
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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: @sippycoups if it hurts too much to eat, i read somewhere that marshmallows are good bc they are soft and don't irritate
Emotion: anger
Intensity class: | 0: no 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: Insomniacs can't get sleep cuz they are too guilty about all the horrible shit they do. I'm a complete sociopath n sleep like a baby.
Emotion: fear
Intensity score: | 0.333 |
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Given the emotion joy and the tweet "@AJStylesOrg I know they have you a scripted ego maniac but, I was so elated to hear that you are a devout Christian like myself. Phenomanal", rate the intensity of joy shown. The rating scale is: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 2: moderate amount of joy 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: Well look at the bright side. You found a use for that rope #TipsToSurviveAPowerOutage
Intensity score: | 0.532 |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 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: Time wounds all heels.\n\n#DrunkJesus #rt #lol #wisdom #quote #comedy #self #Revenge #grudge #hate #time #funny #politics #Trump #POTUS2016 | 1: low amount of anger 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: It's weird because I was discussing sex resentment and confusion in the thing I was writing last night.
This tweet contains emotions: | disgust, pessimism, sadness, surprise |
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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: @SkySportsRL i would just get some decent referees
Emotion: fear
Intensity score: | 0.192 |
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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: @PuseLepuru it's the irritation of not having found the corpse | 0.200 |
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Read the tweet "@Briardpup @dogworldnews Did they get the wrong fur Pal? #shocking 😱" and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Task: 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: Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest
This tweet contains emotions: | anticipation, 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: @SenatorReid @HillaryClinton @DanEggenWPost @realDonaldTrump Even the painting is orange! #Election2016
This tweet contains emotions: | joy, optimism |
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Classify the emotions found in the tweet "Over 70% of social sharing is dark & over 50% of web traffic comes from #darksocial. @colinzalewski #LIFTSocial". 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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From the tweet "You can tell the camp isn't happy purely through Bojan and Muni.\n\nBoth normally fab guys, yet completely dejected. Something isn't right..", 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". | anger, disgust, sadness |
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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: I have 1000 rabid grizzly bears I'm going to scatter in neighborhoods all over America.\n\nThey're poor refugees!\n\n#InYourNeighborhoodNotDC
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Determine the emotional tone of the following tweet: "Having one of those #angry days. I will have to stop watching #news.". 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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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: #LMFAO @MSNBC 's #racepimp Tamron Hall used the words 'fscts' and 'MSNBC' in the same sentence #hilarity #libtard #biasedmedia #neverHillary | 1: low amount of joy can be inferred |
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Assess the emotional intensity of anger in the following tweet: "Ok but I just got called a 'White Devil' on the train and I didnt know whether to laugh or be offended". Answer with a number between 0 (least intense) and 1 (most intense). | 0.484 |
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Using the 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", 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". | disgust, fear |
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Determine which emotions are present in the tweet "@Samkingftw ew omg that is so grim". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | disgust, fear, sadness |
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Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #nervous #timetogrind | 2: moderate amount of fear can be inferred |
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Evaluate the following tweet and classify the emotional state of the author into one of these levels: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. Tweet: There goes the butterflies in my stomach. #anxietyproblems | 0: neutral or mixed emotional state can be inferred |
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Examine the tweet "Accept the challenges so that you can feel the exhilaration of victory. -George S. Patton" 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". | joy, optimism |
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For the tweet "Got paid to vacuum up rat poop. (-: never a dull day in the biology department ...", 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". | disgust, sadness |
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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: My friend just messaged me 'ugh I'm so hungry I can't wait for breakfast' #socialmedia #WineWednesday #hilarious #funny #laughing #happy
Intensity score: | 0.871 |
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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: @SusannahSpot I could pop round #nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: 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 |
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Given the tweet "Now this is getting out of hand. I'm freaked out by this death...and I'm God!! #mommaGrendel #intimidation" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.833 |
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Your task is to measure the intensity of fear in the tweet: "@residentadvisor thanks for getting back to me, exemplary customer service for a loyal customer #jk #residentadvisor #poorservice". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.250 |
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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: @DeionSandersJr @DeionSanders so bad...Slash prices or send them to refugee camps, like team gear after they lose championships.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @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 |
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Your task is to measure the intensity of joy in the tweet: "Watch this amazing live.ly broadcast by @haythatjamile8 #lively #musically". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.294 |
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Determine the emotional tone of the following 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". 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". | joy |
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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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know.
Emotion: joy
Intensity score: | 0.280 |
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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: 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 |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user'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: @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 |
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Examine the tweet "@tamriiel I was talking about further in the expansion, with more gear - fury always does well towards the end" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | anger, disgust |
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Analyze the tweet "You're so cute @katienolan #truelove #hilarious @GarbageTime #beautiful & #graceful never heard explicits spoken with such elegance. #Mingo" 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". | joy, love, optimism |
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Please analyze the tweet "@patthemanager how could I work with @chancetherapper . ? #serious" 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". | anger, disgust, pessimism |
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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: @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 |
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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: Stop tracking back you fucking potato faced cunt errrr infuriating 😠😠😠😠😠 #Rooney #mufc
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: 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 |
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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: @TrussElise Obama must be fuming.. lol
Emotion: anger
Intensity score: | 0.500 |
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Evaluate the following tweet and classify the emotional state of the author into one of these levels: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. Tweet: Never let me see you frown | -1: slightly negative emotional state can be inferred |
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Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: @TheBarmyArmy all the optimism...
Intensity score: | 0.534 |
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For the tweet "#ukedchat A4 Just go outside (or to the gym hall) and play! \n#education #playful #learning", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 1: low amount of joy can be inferred |
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Task: 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 |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @lee_family5 @USAneedsTRUMP @HillaryClinton @realDonaldTrump You can't be serious. This man practices no religion. Only in church campaignin
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @HotpointUK 'customer service ' beyond appalling. Faulty dryer replacement breaks within wks no parts for 3 wks. Engineers no show.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #challenge #kashmir #baloch
Emotion: joy
Intensity score: | 0.580 |
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For the tweet "Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user'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: @TVsCarlKinsella They're such garbage. Obviously I like that they suck but it's still grim to watch.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @tgshepherdvan I'm not there yet. Hasn't sunk in yet. Rest up.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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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: @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 |
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For the tweet "But I got to see her last when she was lively and talkative and I was able to tell her I loved her so that's what matters." and the emotion joy, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.280 |
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Using the tweet "Bloody hell Pam, calm yourself down. But could have sworn something black & hairy just ran across the carpet, #perilsoflivingalone #nervous", 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". | anticipation, fear, sadness |
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Given the 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" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.396 |
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Assess the emotional intensity of sadness in the following tweet: "My soul is weary of fighting the battles in this world. #BlackInAmerica #WeAreNotSafe". Answer with a number between 0 (least intense) and 1 (most intense). | 0.771 |
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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: 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 | 2: moderate amount of sadness 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: That boy so intimidated he go back and say dumb mess like that. 🤔 lol boy please, you know good and well.
This tweet contains emotions: | anger, disgust, joy |
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Assess the emotional intensity of joy in the following tweet: "You know you're in love when all you can do is smile whenever you talk about how he is to someone.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.820 |