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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: penny dreadful just cleaved off a fraction of my heart
Emotion: sadness
Intensity score: | 0.521 |
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: Not written for African-American\n\nNo refuge could save the hireling and slave\nFrom the terror of flight or the gloom of the grave,
Emotion: sadness
Intensity score: | 0.583 |
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: not only was that the worst @EGX that's I've attended but worth one of the worst cons I've been to in the last 5 years #terrible
Emotion: fear
Intensity score: | 0.583 |
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: Bring back the heyday #NominateBunkface
This tweet contains emotions: | joy |
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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @KatieBurnett ha freshers blues would love to re do all again ... ha nice tshirt .. vote for Pedro
This tweet contains emotions: | joy, love, optimism |
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: This night is sparkling, don't you let it go! I'm wonderstruck, blushing all the way home..' #ValerieBot
Emotion: joy
Intensity score: | 0.660 |
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: At the point today where if someone says something remotely kind to me, a waterfall will burst out of my eyes
Emotion: anger
Intensity class: | 0: no anger 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: @ArcticFantasy I would have almost took offense to this if I actually snapped you
This tweet contains emotions: | anger, disgust |
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: Multitasking .... I may have to induce these seeds of mine to sleep.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: Damn our offense is a mix bag of unpredictable lethal weapons I'm worried for Defense Coordinators 😁 #Chargers #Boltup #Recharged
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: For what a beautiful day. #elated
This tweet contains emotions: | joy, love, optimism |
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: @BrianaBanksxoxo I send ya a few #playful nibbles 😉
Emotion: joy
Intensity score: | 0.700 |
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: @jshayevitz @Israel is a #bully worse than #hitler a #demon under #human guise.. its the cause of all #MiddleEast problems!
This tweet contains emotions: | anger, disgust, fear |
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: Drawing mini-comics is joyful; folding mini-comics is meditative and relaxing. I think I need to do them for more than just Halloween...
Emotion: joy
Intensity score: | 0.562 |
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: Hey @AppleSupport, would be nice to have “click to pause” or “pause when window inactive” on animated GIFs for macOS Messages app
Emotion: joy
Intensity score: | 0.208 |
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: Today is gonna be terrible I can feel it
Emotion: fear
Intensity score: | 0.696 |
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: calling me ugly isn't even an insult bc i know already
This tweet contains emotions: | anger, disgust, pessimism, 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: Every dancers dream song #worldpower
This tweet contains emotions: | joy, optimism |
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: These girls who are playful and childlike seem to have such lovely relationships. Can't imagine them having serious convos but it's cute 😍😍
This tweet contains emotions: | joy, love |
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: @TNFryed Jesus, you just made think that of all the Vols v fl games I've seen. I've never seen a win. #depression
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Being @ #work #sober 🤦🏽♂️ I can not do it
This tweet contains emotions: | disgust, fear, pessimism, sadness |
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: @xiankiefer @TheLincoln Book 5! It's so sprightly & fun cuz he'd been reinvigorated by the Harry Potter series. I'm not kidding.
Intensity score: | 0.781 |
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: Just wish I was appreciated for all I do! When is it my turn to be taken care of!! I want a break!! #tired #lost
This tweet contains emotions: | pessimism, sadness |
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: @Meruna_ as a musician, I can tell you that more people get discouraged when learning because of shitty instruments than anything else.
Emotion: fear
Intensity score: | 0.396 |
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: @itejasmehta @QTalker My pleasure 😊
This tweet contains emotions: | joy, love, 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: #WTF @NYSCHereToHelp @NYSC allows #gym #atmosphere! #jumpship #nasty #atmosphere #unprofessional
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Why are people that don't have iPhones so bitter about iPhones???? Can someone explain
Emotion: anger
Intensity class: | 3: high 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: @yukkikuma_cos cheer up, luv. your face is alot prettier when you're not frowning. <3
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #restless #sad #needsmoresleep
Emotion: fear
Intensity score: | 0.469 |
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: Lil reminder that my private account is a delight of shittalking and occasionally NSFW stuff! @AngryArchosaur
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: I just love #humid NYC #summer 🔥🙄💦 #sarcasm
Intensity score: | 0.617 |
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: @AphoticSanguine —but be a little playful. \n\nHe hesitantly pulls away, just enough so he could get words out, lips brushing against—
Emotion: joy
Intensity score: | 0.460 |
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: Oh dear an evening of absolute hilarity I don't think I have laughed so much in a long time! 😂
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @tcarrels \nSo when exactly did you lose your mind, pal? \n #Trump #fraud #misogynist #liar #psychopath #narcissist #conartist
Emotion: fear
Intensity class: | 1: low amount of 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: Still #devastated and #sad #Tariq's #TariqLive channel is no more and #ProfessorBlackTruth as well. #YouTubeFAIL #EpicFAIL! #TariqNasheed 😢
This tweet contains emotions: | anger, sadness |
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: @simslover163 I guess it must be really expensive... For me it's that the whole family stayed in Poland, so I really miss them...
This tweet contains emotions: | anticipation, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Defination of a best friends..!!! \n\na person who opens his mouth just to #insult yu..!! :D :D :D
Emotion: anger
Intensity score: | 0.386 |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: It take so little to make a child's life joyful, why do we work so hard to make their lives hell? @MiddleEastEye Peace
Intensity score: | 0.516 |
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: “Worry is a down payment on a problem you may never have'. Joyce Meyer. #motivation #leadership #worry
Emotion: fear
Intensity score: | 0.354 |
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: I can be so shy but once I come out of my shell that's it 😂
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: A loss ain't a loss it's a lesson #smile
This tweet contains emotions: | joy, optimism |
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: @gdimelow @TheDailyShow @NivenJ1 @jordanklepper These interviews scare the crap out of me. I never imagined so many dumb, dumb Americans.
Emotion: fear
Intensity score: | 0.812 |
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @PriceSjrw5614 @Ren102e906 @slb42jcb @swoozyqyah THEN you do what you can and then BLOCK them, they're trying to discourage us
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: Don't let hatred grow in you, otherwise everything in your life will be affected. It will distract & anger you. It will often end in regret.
This tweet contains emotions: | anger, disgust |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: 5,000 new US #citizens swearing in now! #tears #congratulations
Emotion: fear
Intensity score: | 0.200 |
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: @elebelfiore Isn't it always about control and mistrust?
Emotion: anger
Intensity score: | 0.344 |
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: @simmy_hanley @Schrise also a #delight
Emotion: joy
Intensity score: | 0.542 |
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: I don't mean to offend anyone, but 93.7 literally blames everything on white people. In some cases it's true, but a lot of times, it's not
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: I had a dream that I dropped my iPhone 7 and it broke T_T #cry #iPhone7
This tweet contains emotions: | anticipation, fear, pessimism, sadness |
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: God's love spring.Of one dat sunk his whole estate for d paltry bribe,of a single apple–n yet proud of our ancestry?❤️🗿
This tweet contains emotions: | joy, love, optimism |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @tweet_faver its reaper!! before he became reaper, you can find their stories on the wiki and thru the comics and animated shorts!
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: No, just tweet pictures of four fictional characters who describe you. One should be an animated character. @sunshinessp411
This tweet contains emotions: | |
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: Yahweh your God is among you, a warrior who saves. He will rejoice over you with gladness.
This tweet contains emotions: | joy, optimism, trust |
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: I can't believe @HoustonTexans can't put up even 3 points on @Patriots #hugeletdown
Emotion: fear
Intensity score: | 0.292 |
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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n #education #learning
This tweet contains emotions: | joy, trust |
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: Does Bret have a point? Cena, Balor, sting...
This tweet contains emotions: | anticipation |
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: If you think reason will prevail in this election remember that Hitler was elected by what was then a wholly 'reasonable' society. #fear
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: realising you have no conditioner after already shampooing 😓😓
Emotion: fear
Intensity score: | 0.500 |
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: I am shy at first.It usually takes me a few minutes to assess the jaw of the people i am hanging out with and then i will act according🤷🏽♀️
Emotion: fear
Intensity score: | 0.389 |
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: @oscar_perria a multimillionaire spoiled brat who gets In a self righteous huff bc his friend is Muslim is a non starter bye!
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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: It feels good to get outside for a minute and get some fresh air. It's hard to stay cooped up inside all day #breezy
Emotion: joy
Intensity class: | 3: high amount of joy 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: the Bushes were good with the forces of resentment when it made them money and gave them power. Now that it doesn't they've changed tunes.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @WhiteJennyB @EmreUslu jenny white u r the dumbest here .. What r u trying ? Get lost..
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @realDonaldTrump She blamed Benghazi on a YouTube video. She blamed emails on #ColinPowell. Now she blames #terrorism on you. #weakHillary
Emotion: fear
Intensity score: | 0.542 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: HAPPY BIRTHDAY! :D
Intensity score: | 0.742 |
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: Always borrow money from a pessimist; he doesn't expect to be paid back.
This tweet contains emotions: | optimism, pessimism |
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: This weather making me dread work tonight
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: #Taurus, for the most part, you have perfect control over your Emotions and you are careful not to be so sulky around anyone!
This tweet contains emotions: | optimism |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: HAPPY BIRTHDAY! :D
Intensity class: | 2: moderately positive emotional state can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: me when my friends are sad: basically becomes a psychiatrist\nmy friends when im sad: ok #funny #lol
Emotion: joy
Intensity score: | 0.281 |
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: Brb going to sulk in bed until Friday
This tweet contains emotions: | anger, disgust, joy, pessimism, sadness |
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: @veryeloise your gunna make me cry, I need a glee day
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I really hate Mel and Sue. They think they're hilarious and they're just awful
Emotion: joy
Intensity class: | 0: no joy 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: a #monster is only a #monster if you view him through #fear
Emotion: fear
Intensity score: | 0.500 |
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: Fewer and fewer good horror offerings from Hollywood every year. Or have I just gotten too old for this shit?
Emotion: fear
Intensity score: | 0.292 |
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: @Bickley_Marotta yea because forcing 5 turnovers and holding a pretty good offense to 7 points is concerning.....oh wait. NO!!
Emotion: anger
Intensity class: | 0: no 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: Modern family never fails to cheer me up. Especially Phil.
Emotion: joy
Intensity score: | 0.729 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @KWAYNTjoia it's exhilarating
Intensity score: | 0.589 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: An adviser to the #European #Union’s top #court said #Hamas and the #Tamil #Tigers should be taken off the EU’s #terror list.#lka
Emotion: fear
Intensity score: | 0.500 |
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 had a dream that I dropped my iPhone 7 and it broke T_T #cry #iPhone7
Emotion: fear
Intensity class: | 3: high amount of 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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: How is your toddler coping with the new arrival? Has he tried killing her yet?' they cheerfully ask.
Intensity class: | 1: slightly positive emotional state 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: @pxrfectpeach it's got her little pout
Emotion: anger
Intensity class: | 1: low amount of anger 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: Jorge deserves it, honestly. He's weak. #revolting #90dayfiance
Emotion: fear
Intensity class: | 0: no 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: and apparently he's supposed to have a Scottish accent??? I'm
Emotion: anger
Intensity score: | 0.375 |
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: @Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE.
This tweet contains emotions: | anger, disgust, joy, optimism |
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: God favors men and women who delight in being made worthy of happiness before the happiness itself.
Intensity class: | 1: slightly positive emotional state can be inferred |
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: @NativeApprops @SBShear @HuffingtonPost Shew. That was #awful
Emotion: fear
Intensity class: | 0: no fear 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: The rage has died down.
Emotion: anger
Intensity score: | 0.438 |
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: Vacation wise, Egypt offers great places, amazing scenery, bright skies and good weather at a very good and affordable price for students.
Emotion: joy
Intensity score: | 0.521 |
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: Go help the [email protected]. #recovery #sober #addiction
This tweet contains emotions: | anticipation, optimism, sadness |
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: Ask for my #snapchat #pussy #cock #horny #cum #wet #tits #follow
This tweet contains emotions: | anticipation, joy, optimism |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: A cheerful heart is an unending banquet.- Proverbs (Mishle) 15:16
Emotion: joy
Intensity score: | 0.480 |
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: dread pitt
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: @Zineeta_R @RusEmbUSA @mfa_russia The hatred and fear many russians have for anything non-russian is just sad.
Intensity score: | 0.155 |
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: Obama's 250+ offices of 'Organizing for Action' teaches #TheResistance #protesting #civildisobedience #treason #LOCKHIMUP #OFA
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: 'The point of living, and being an optimist, is to be foolish enough to believe the best is yet to come' - Peter Ustinov #optimism #quote
Emotion: joy
Intensity score: | 0.250 |
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: So today was interesting, first #panic attack. Might need to do something about that.
Emotion: fear
Intensity score: | 0.821 |
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: Getting so excited for @ClearwaterJazz 2016!! We play the main stage Sunday Oct. 16 at 3:30!! #jazzholiday #riesbrothers #rock #blues #jam
Emotion: sadness
Intensity score: | 0.125 |
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: @alivitali that's what I'm afraid of!
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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