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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: @TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho
Emotion: fear
Intensity score: | 0.146 |
|
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: A pessimist sees the difficulty in every opportunity; an optimist sees the opportunity in every difficulty. \n― Winston S. Churchill #quote
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
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: .@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 |
|
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: 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
Emotion: sadness
Intensity score: | 0.583 |
|
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: @Miami4Trump Yeah, but bad part is the #terrorism #terror Muslims won't be the ones leaving #ObamaLegacy #nationalsecurity #disaster #Obama
Emotion: fear
Intensity class: | 1: low amount of fear 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: How was Natalie one of the top three favorites?! #toofaced and #bitter 🙄
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
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: @BoardEveryday @turnorder @pinchback21 80s new wave/techno - or jazz / blues depending my mood
Emotion: sadness
Intensity score: | 0.271 |
|
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: @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 |
|
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: I am just so bitter today 😐
Emotion: anger
Intensity class: | 2: moderate 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: 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: 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: 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 |
|
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 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: Light of day per heyday popularization backfire cinematography: XUcQb
Intensity class: | -1: slightly negative emotional state can be inferred |
|
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: @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 |
|
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: @Elliot_Eastwick just play rappers delight and have a 15 minute kip
This tweet contains emotions: | anticipation, joy, 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: @Devilligan It's a beautifully sincere balancing act of grief and hilarity.
Emotion: joy
Intensity score: | 0.375 |
|
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: I want to pour all my tears on someone right now. So tired of this #upset
Emotion: sadness
Intensity score: | 0.938 |
|
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: Nice Idea collect all relevant socialmedia in one-But dont be automatic pls #worldsapp ⬅️ #chirp #appsworld #socialmedia @DanielFeuer merci🎈
This tweet contains emotions: | joy |
|
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: Get to work and there's a fire drill. #fire #outthere #inthedark
This tweet contains emotions: | anger, disgust |
|
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: 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 |
|
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: @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 |
|
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: @_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 |
|
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: Watch this amazing live.ly broadcast by @hannah..mccloud #musically
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
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: @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
Emotion: joy
Intensity score: | 0.820 |
|
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: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to
This tweet contains emotions: | anger, disgust |
|
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: If any trump supporters and Hillary haters wanna chirp some weak minded, pandering liberals just tweet at @EmmyA2 @snickerfritz04
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
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: 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 |
|
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: @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 |
|
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: @HuffPostUK NO greater wrath than a woman scorned.
This tweet contains emotions: | anger |
|
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate.
Intensity class: | -2: moderately negative emotional state 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: 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 |
|
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: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Bloods boiling
Emotion: anger
Intensity score: | 0.708 |
|
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: 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 |
|
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: @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 |
|
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: 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 |
|
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: #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 |
|
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: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: It's 5:55am. I'm hungry but there is no food. #panic
Intensity class: | -3: very negative 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: backed pats -2.5 10/11 just before #pleasing
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: #PeopleLikeMeBecause they see the happy exterior, not the hopelessness I sometimes feel inside. #depression #anxiety #anxietyprobz
Intensity class: | -3: very negative 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: @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 |
|
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: 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 |
|
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: @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
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: Well look at the bright side. You found a use for that rope #TipsToSurviveAPowerOutage
Intensity score: | 0.532 |
|
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: Time wounds all heels.\n\n#DrunkJesus #rt #lol #wisdom #quote #comedy #self #Revenge #grudge #hate #time #funny #politics #Trump #POTUS2016
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
|
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: 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 |
|
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 |
|
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: @PuseLepuru it's the irritation of not having found the corpse
Intensity score: | 0.200 |
|
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: @Briardpup @dogworldnews Did they get the wrong fur Pal? #shocking 😱
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
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: 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 |
|
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: @SenatorReid @HillaryClinton @DanEggenWPost @realDonaldTrump Even the painting is orange! #Election2016
This tweet contains emotions: | joy, optimism |
|
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: Over 70% of social sharing is dark & over 50% of web traffic comes from #darksocial. @colinzalewski #LIFTSocial
This tweet contains emotions: | neutral or no emotion |
|
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: 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..
This tweet contains emotions: | anger, disgust, sadness |
|
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: 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 |
|
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 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: #LMFAO @MSNBC 's #racepimp Tamron Hall used the words 'fscts' and 'MSNBC' in the same sentence #hilarity #libtard #biasedmedia #neverHillary
Emotion: joy
Intensity class: | 1: low amount of joy 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: Ok but I just got called a 'White Devil' on the train and I didnt know whether to laugh or be offended
Emotion: anger
Intensity score: | 0.484 |
|
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: 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: @Samkingftw ew omg that is so grim
This tweet contains emotions: | disgust, fear, sadness |
|
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: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #nervous #timetogrind
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: There goes the butterflies in my stomach. #anxietyproblems
Intensity class: | 0: neutral or mixed emotional state 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: Accept the challenges so that you can feel the exhilaration of victory. -George S. Patton
This tweet contains emotions: | joy, 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: Got paid to vacuum up rat poop. (-: never a dull day in the biology department ...
This tweet contains emotions: | disgust, sadness |
|
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score 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 |
|
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: @SusannahSpot I could pop round #nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: 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: 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: @residentadvisor thanks for getting back to me, exemplary customer service for a loyal customer #jk #residentadvisor #poorservice
Emotion: fear
Intensity score: | 0.250 |
|
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: @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 |
|
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: 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: Watch this amazing live.ly broadcast by @haythatjamile8 #lively #musically
Emotion: joy
Intensity score: | 0.294 |
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Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I'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 |
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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: 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: 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 |
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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: @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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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: @tamriiel I was talking about further in the expansion, with more gear - fury always does well towards the end
This tweet contains emotions: | anger, disgust |
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Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: 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 |
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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: @patthemanager how could I work with @chancetherapper . ? #serious
This tweet contains emotions: | anger, disgust, pessimism |
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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: @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: 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: 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: 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 |
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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: @TrussElise Obama must be fuming.. lol
Emotion: anger
Intensity score: | 0.500 |
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Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 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
Intensity class: | -1: slightly negative emotional state can be inferred |
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Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: @TheBarmyArmy all the optimism...
Intensity score: | 0.534 |
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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: #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 |
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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: 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: @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: 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: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #challenge #kashmir #baloch
Emotion: joy
Intensity score: | 0.580 |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
Emotion: fear
Intensity class: | 0: no fear 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: @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'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: @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: 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 |
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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: 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.
Emotion: joy
Intensity score: | 0.280 |
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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: Bloody hell Pam, calm yourself down. But could have sworn something black & hairy just ran across the carpet, #perilsoflivingalone #nervous
This tweet contains emotions: | anticipation, fear, sadness |
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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: @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 |
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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: My soul is weary of fighting the battles in this world. #BlackInAmerica #WeAreNotSafe
Emotion: sadness
Intensity score: | 0.771 |
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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: 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 |
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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: 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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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 |