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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: @NessaMatthews he's perfect. But not even in that way where you sort of resent him or suspect that he leads a double life. Just perfect.
This tweet contains emotions: | joy, love, optimism |
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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: You have a #problem? Yes! Can you do #something about it? No! Than why
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: @virginmedia I've been disconnected whilst on holiday ๐ค but I don't move house until the 1st October ๐ค
Emotion: anger
Intensity score: | 0.396 |
|
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'm wearing yellow today to bring a little sunshine to this gloomy day #yourewelcome
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Mysteri759 @Ren102e906 @slb42jcb @swoozyqyah Well, I'm too old, and too stubborn about facts & history to be discouraged.
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @TJ_FASHO lmao clown my own hair I'm going to dread lmao
Emotion: fear
Intensity class: | 0: no fear 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: @kcbbcxo don't get discouraged! it's early on & it can get overwhelming. keep reading & use cue cards ๐ it'll get better!!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
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: @Montel_Williams If this ban goes through, it will harm so many people, disabled veterans, people who have #chronicpain, #anxiety #iamkratom
This tweet contains emotions: | anger, fear, sadness |
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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: #happiness #recipe: an open mind, #laughter, a kind #heart & #optimism
Emotion: joy
Intensity score: | 0.833 |
|
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: #smackdev #ptp #start oh yeah!
This tweet contains emotions: | joy, optimism |
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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: #Muslims are the principle victims of #terrorism. More Muslims are dying at the hands of these #terrorists than anyone else. #YounusAlGohar
Emotion: fear
Intensity score: | 0.583 |
|
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: James: no 500k, no 50k, no 25k, no 10k. You fucked up. #bb18 #bitter #shouldofVotedforNicole
Emotion: anger
Intensity score: | 0.708 |
|
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: @JaredLeto Jared + #snap? ๐
Emotion: anger
Intensity class: | 0: no anger 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: im thoroughly in love w zen and jumin and i dont think id even have the patience for either of them irl im old and weary
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
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: @beingbrilliant @johnmurrays you're welcome. It's genuinely made me give my head a wobble and realise what's important in life. #smiling
Emotion: joy
Intensity score: | 0.625 |
|
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: @localblactivist I'm always a little bit weary of speaking up because 1. I don't want to hijack the convo - as an LGBT person, I've seen
Emotion: sadness
Intensity score: | 0.438 |
|
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 been a week of awful connectivity with @TMobile no service or only 4G is not what Im paying for. #unhappy #poorservice
This tweet contains emotions: | anger, disgust, sadness |
|
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: Quote_Soup: Be happy not because everything is good, but because you can see the good side of everything. #optimism
This tweet contains emotions: | joy, optimism |
|
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: It's all about #redwine and
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I swear if @devincameron23 blocks me I'm going to hit her back #revenge
Emotion: anger
Intensity class: | 3: high amount of anger 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: @deadlyjokester *she let out a playful gasp and slowly wrapped her arms around his neck, kissing him back*
Emotion: joy
Intensity score: | 0.620 |
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: Hey u never know, Channel 4's version of #GBBO might actually be quite good. A few adverts aren't the end of the world. #optimism
Intensity score: | 0.641 |
|
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: Proverbs 27:9 Ointment and perfume rejoice the heart: so doth the sweetness of a man's friend by hearty counsel.\n#TruthfmDawnBreak
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @NM_NickNocturne Incentivise people to roam the Internet being morally offended, as if they didn't do it enough already.
This tweet contains emotions: | anger, disgust, sadness |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @BBCPolitics @BBCNews I'd rather leave my child with @BorisJohnson
Emotion: fear
Intensity class: | 0: no fear 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: watching my first Cage of Death and my word this is tremendous
Emotion: fear
Intensity score: | 0.562 |
|
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: @maggyvaneijk Old age?! No hope for the rest of us. Destined to become deatheaters by 50
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: @PixelMonsterYT @TeamGE0 @IZEDEPTIC @ztumtum @CrimtideTV @LtGrandslam @Slinkercorn Bahahahaha Dean looks hilarious and damn I got fat
Intensity class: | 0: neutral or mixed emotional state 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: Panda eyed jaunty after watching jaws until late!
This tweet contains emotions: | joy |
|
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: The little sniffle at the end of the song gets me every time.
This tweet contains emotions: | joy, sadness |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @MillieetylerX I thought everyday was a glee day??
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: @ctp It's daunting trying to follow Swift news/trends, and facing mind-shattering patterns/terms left and right. I'm trying to adopt gently.
Intensity score: | 0.431 |
|
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: @katethecursed @shannonrdk LOL this day is too gloomy for being people, should've canceled and stayed in bed
This tweet contains emotions: | disgust, fear, joy, sadness |
|
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: @Sirenja_ @JaxOfBo (like, hope i didn't offend with my commentary - it wasn't what I was intending!)
Emotion: anger
Intensity score: | 0.500 |
|
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: @realDonaldTrump She blamed Benghazi on a YouTube video. She blamed emails on #ColinPowell. Now she blames #terrorism on you. #weakHillary
This tweet contains emotions: | anger, disgust, fear, sadness |
|
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: Americans as a whole are, for the most part, feeling borderline despair at the very least. Looking at a situation out of control.
Emotion: fear
Intensity class: | 0: no fear 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: First day of fall quarter tomorrow. ๐ฐ #excited #anxious #blargh
Emotion: fear
Intensity class: | 0: no fear 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: @Chic_Happens_ @Sean_Okeeffe1 @royalmusing I dread the comparisons to Queen Mรกxima. Guarantee I will lose followers when that happens.
Emotion: fear
Intensity score: | 0.646 |
|
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: Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #smrtruinslives
This tweet contains emotions: | anger, disgust |
|
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: @Tomstarling86 He didn't have many chances to show what he can do but looked lively and had a good shot tipped over the bar before the end.
Emotion: joy
Intensity score: | 0.360 |
|
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: @OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic
Intensity class: | 3: very positive emotional state can be inferred |
|
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: @p_dortch7 I make sacrifices to make you happy
This tweet contains emotions: | joy, optimism |
|
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: haww I think Nawaz should have spoken about Indian funding to BLA in Balochistan, Kulbhoshan Yadhav and how India used TTP for terror!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: #ThisIsUs has messed with my mind & now I'm anticipating the next episode with #apprehension & ! #isthereahelplineforthis
This tweet contains emotions: | anticipation, fear |
|
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: Virtually every statement by other countries at UN has referred to #terror as main threat to peace, #Pak still in denial: MEA.
This tweet contains emotions: | disgust, fear |
|
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: โ Self-hatred gives rise to fury, fury to the desire for self-change.
Emotion: anger
Intensity score: | 0.458 |
|
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: 2 biggest fears: incurable STD's and pregnancy...I mean, they're basically the same thing anyway #forlife #annoying #weirdsmells
Emotion: anger
Intensity score: | 0.417 |
|
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've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Early morning cheerfulness can be extremely obnoxious #ALDUB62ndWeeksary
Intensity class: | 0: neutral or mixed emotional state can be inferred |
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: @KWAYNTjoia it's exhilarating
Intensity score: | 0.589 |
|
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: Like hello? I am your first born you must always laugh at my jokes. #offended
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Watch this amazing live.ly broadcast by @swagrman_fan #musically
This tweet contains emotions: | anticipation, joy |
|
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: @CUTEFUNNYANIMAL @luvcaps19 My sister's dog does this. I think it's because she knows it'll provoke a reaction
Emotion: anger
Intensity class: | 0: no anger 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: @shopgreenwich #ldf16 what shall we do this weekend? #spraypainting in #greenwichmarket with @SNUB23 #core246 #lilylou #fret & #benoakley
Emotion: anger
Intensity score: | 0.271 |
|
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: I have learned over the years that when one's mind is made up, this diminishes fear. โRosa Parks #quotes #motivation
This tweet contains emotions: | optimism, trust |
|
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #ุงูุฎูุฌู
Intensity score: | 0.600 |
|
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive).
Tweet: Thank you @twitter for the balloons today. #goodday #48
Intensity score: | 0.786 |
|
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: @kikibug13 Don't look. You'll only be very, very unhappy. \n\n(NNGH. I got the email notif THANK YOU.)
Emotion: sadness
Intensity score: | 0.438 |
|
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: @Jen_ny69 People will always get offended everyone's situation is different! Just because we have kids doesn't mean we have to settle
This tweet contains emotions: | anger, disgust, sadness |
|
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: 6 might be a serious number, but 10 sounds better. Wild card race!!
This tweet contains emotions: | anticipation |
|
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: @p4pictures it would be great but what if the card crashes ๐ฑ. It's happened to me twice
This tweet contains emotions: | fear, sadness |
|
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: @Dak2future decorations are up all over Jersey already
Emotion: anger
Intensity class: | 0: no 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: @LazyBoiSam blues... blues? ๐ค
This tweet contains emotions: | neutral or no emotion |
|
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: @marksandspencer Where has your 50% grapefruit squash gone,not been able to get for weeks #unhappy
Emotion: sadness
Intensity score: | 0.562 |
|
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 would like to congratulate the people of Saudi Arabia a happy and a joyous national day. May you all have a great time! #ุงูููู
_ุงููุทูู
Emotion: joy
Intensity score: | 0.771 |
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: I wish harry would start tweeting people again
Emotion: fear
Intensity score: | 0.195 |
|
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: induction day tomorrow for pizza express
Emotion: fear
Intensity score: | 0.275 |
|
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: @typicalmoony Yes Lia!! Join the dark side!!
This tweet contains emotions: | joy, trust |
|
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: Howard Webb always held up as knowing the answers. No red. Sutton and Craigan raging! Hahaha
This tweet contains emotions: | anger, 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: @johnwintertweet dudes who wanna play some bass but not buy a bass (me) rejoice
Emotion: joy
Intensity score: | 0.308 |
|
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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us ๐ญ๐ญ @__KirstyGA #oldcunt
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
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: @iTriborg โ make him feel vigorous. 'Fine. You can kill me now.' Said Hestia with a display of only despair rather than her joyful โ
This tweet contains emotions: | anger, disgust, sadness |
|
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: One more step in long work #visa process is over. Relief. Onto next step. #expat
This tweet contains emotions: | joy, optimism |
|
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'm still laughing 'Bitch took my pillow' line #kurt
Emotion: joy
Intensity class: | 2: moderate 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: Nice to see Balotelli back to his best, good player.. Just lost his way a bit!
Emotion: sadness
Intensity score: | 0.167 |
|
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: Job interview tomorrow ๐ #bright side
Emotion: joy
Intensity score: | 0.640 |
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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: That feel when you travel 700 miles to pick up a form that arrives in the post two days after you leave.
This tweet contains emotions: | anger, disgust, joy |
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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: Good morning lovely people. Not gonna lie I've woken up feeling pretty glum.
This tweet contains emotions: | joy, sadness |
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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: Sister: (Canadian player does something shady.) Jonathan Toews is frowning and he doesn't know why. #WorldCupOfHockey
Emotion: sadness
Intensity score: | 0.404 |
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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: This week's Massacre Theatre pert by @LarsenOnFilm is the first one I can think of that requires subtitles.
This tweet contains emotions: | anticipation, trust |
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Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity 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: @SteveBryantArt I was pretty sure it was a Golden Ticket. Get a tour. Make a mistake. Something horrific will happen to you. Good day sir.
Intensity class: | 0: neutral or mixed emotional state 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: @hotpatooties more like quickie divorce
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: Try to find the good in the negative. The negative can turn out to be good.\n #anxietyrelief #openminded
This tweet contains emotions: | optimism |
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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: @buzzlightbeard2 If you don't love yourself... Honesty is the best policy
This tweet contains emotions: | anticipation, optimism, trust |
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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: I wish the next madden has a story mode too. Just like Fifa 17 #madden
Emotion: anger
Intensity score: | 0.312 |
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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: I was so shy freshman year this guy introduced himself to me by asking if I spoke any English
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @HillaryClinton Americans for HRC! Now maybe, as you see the world getting rid of terror to save their countries you'll get the DEMS out.
This tweet contains emotions: | anticipation, joy, optimism |
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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: Sky news still pushing the Brexit gloom line, managing to ignore the fact it's simply not happening. 'But in the future.....'
This tweet contains emotions: | disgust |
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Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: Check out this #film Robocoq 301 #animated #shortfilms
Emotion: joy
Intensity score: | 0.440 |
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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: A country that gave safe house to #Osama Bin #Laden is dangerous if not contained. #Pakistan is a #terror heaven, declare so @BanKimoon_amdg
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: @MrsCassonC @15_jordyn WAS THERE A CLOWN IN YOUR NEIGHBORHOOD? #nightmare #creepy #EnoughIsEnough
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
Tweet: @ADenkyirah Happy birthday! Hope you have a wonderful day filled with lots of joy and laughter <3 (despite tumblr being a jerk- once again)
Intensity score: | 0.850 |
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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: Let us not burden our remembrances with a heaviness that's gone.\n- William Shakespeare (1564-1616)\n#forge ahead.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed #rejoice
Intensity score: | 0.897 |
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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: Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory!
Emotion: joy
Intensity score: | 0.625 |
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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: im 16 if you want to see my dick snap/kik me at hiya2247 ๐ #kik #kikme #snapchat #snap #snapme #horny #porn #naked #young
Emotion: anger
Intensity score: | 0.375 |
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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 think they may be #offended
Emotion: anger
Intensity score: | 0.500 |
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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: I'm still laughing 'Bitch took my pillow' line #kurt
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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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: @TheRevAl please tell us why 'protesting' injustice requires #burning #beating and #looting terrible optics #toussaintromain is true leader!
This tweet contains emotions: | anger, fear |
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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 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: @m_warner21 Yikes. The wrath of Maddie...
Intensity class: | -1: slightly negative emotional state can be inferred |