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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 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: Yo this 3 v 3 overtime in hockey got me sweaty damn this ish exhilarating
Intensity class: | 1: slightly positive emotional state 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: Val is far too cheery for my liking ✋🏻
Emotion: joy
Intensity score: | 0.229 |
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: yesterday i finished watching penny dreadful and from all the beautiful things i saw one question remains: were the writers HIM's fans?
This tweet contains emotions: | anticipation |
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: Thurston offers Gallen a ‘peace’ of his mind: NORTH Queensland playmaker Johnathon Thurston insists he holds no grudge against Paul G...
Emotion: anger
Intensity score: | 0.312 |
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: “Be #positive, #cheerful, #grateful and expectant.” @NightingaleEarl #Success #Leadership
This tweet contains emotions: | joy, optimism |
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: Watch this amazing live.ly broadcast by @matt.boss #lively #musicallyjh
Emotion: joy
Intensity class: | 1: low amount of joy 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: This night, room polluted with syringes, notebooks and shadows moving, this kind of night! Away melancholy, away!
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Chalk dance notation entree manchester inasmuch as corinthian products that discourage drag branding: ARwuEVfqv
Emotion: sadness
Intensity score: | 0.188 |
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: Im really constipated. This is depressing
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Well i did hear once before that girls are attracted to men that look like their dad! 👌 #serious
Emotion: sadness
Intensity score: | 0.188 |
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: @kevinrouth Now that's what I call a gameface! #gameface
Emotion: fear
Intensity score: | 0.188 |
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: @Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #shocking #appauling #dire #dismal #beyondajoke #useless
Intensity score: | 0.121 |
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: @sandym709 regardless, lets say he has a permit. The permit doesn't excuse or allow him to threaten an officer(expressed or implied)w/ it.
Emotion: fear
Intensity class: | 0: no fear 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: India wants to #shake #hands with # pakistan ..... but as usual pakistan #cheat with every #indian \n\n..........shameless pakistan
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: @LethalWeaponFOX promised I wouldn't live tweet, but @DamonkWayans + @ClayneCrawford brought it! @JordanaBrewster and #furious action FTW!
This tweet contains emotions: | anger |
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: Let's refuse to live in #fear - #sotoventures
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: @luckiiCHARM_ Luckii, I'm changing in so many ways bc of Him!! It's a scary but joyful feeling, making me so strong.
Emotion: joy
Intensity score: | 0.877 |
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: Especially when it comes to voicing a displeasure, if you can't tell me straight up then hold your peace ✌️️
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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: Had a great time at Skywalkers open gym tonight! Come our every Wednesday from 7-8 in Hillsboro and train with us! #opengym #cheer #tumbling
Emotion: joy
Intensity score: | 0.833 |
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: That's how you start a season that's how you open the show #show #them #how #dark #hell #can #get #Empire
This tweet contains emotions: | optimism |
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: @XGames looks exhilarating! Looking forward to seeing 👍🏼
This tweet contains emotions: | anticipation, joy, optimism, 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: @RiveraJose39 happy birthday to my seed‼️‼️‼️ #renewtherivalry #imyourdaddy #cantbeatme #madden #tater
This tweet contains emotions: | joy, love, optimism |
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: Had a dream last night that Chris Brown created a diss track about Drake and Rihanna called 'I Hit It First' 😳😳 #dark
Emotion: sadness
Intensity score: | 0.312 |
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's amazing how something gets stuck in your head, and you can't shake a memory... Sometimes, I miss people a lot. Wish they knew.
Emotion: fear
Intensity class: | 1: low amount of fear 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: My doctor has taken a liking to poking prodding and drawing blood from me post dad. Over concern is nice but dear gawd needles :O
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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: induction day tomorrow for pizza express #nervous
Emotion: fear
Intensity score: | 0.688 |
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: @Bell @Bell_Support Cancelling home Fibe, Internet and TV this afternoon - as soon as I can arrange alternate Internet. 2/2 #angry #fedup
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Transparency and openness ' is a dull sell for a fans group - want more verbs like buying, defending, building and securing.
Emotion: sadness
Intensity class: | 0: no sadness 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: Ok scrubbed hands 5 times before trying to put them in.\nEyeballs #burning \n#EvenMoreBlind accidentally scared the #cat whilst #screeching
This tweet contains emotions: | fear, sadness |
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: @priny_baby happppy happppyyyyyy happppppyyyyy haaapppyyyy birthday best friend!! Love you lots 💖💖💖💖💖💖💖🎉🎊 #chapter22 #bdaygirl #love
This tweet contains emotions: | joy, love |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: some say my lover is a pale green light\nhe hovers high where the moon shines bright
Intensity score: | 0.617 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: For once I gatherp th strength to not try and drink my pain away. #sober #Fighter #strong #lovely #dreamer
Intensity score: | 0.339 |
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: @Adrian_Specs Far from safe and staid I found it horribly OTT at times while everyone seemed to be trying just a little too hard. Not for me
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: It's not #dread. It's called #Locks
Emotion: fear
Intensity score: | 0.340 |
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: Common app just randomly logged me out as I was writing the last part of my college essay and lost all of it 😭😭😭
Emotion: sadness
Intensity class: | 3: high amount of 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: ICQ is just making me mad!!!😤 #icq
Emotion: anger
Intensity score: | 0.729 |
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: When you wake up from a dream laughing at something stupid, and that makes you laugh more #hilarious
Emotion: joy
Intensity class: | 3: high amount of 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: @airtelindia have some issues with my broadband bill ,I am charged for the month before I signed up with airtel..
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: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #anger #innerconflict #conflict #values
Emotion: anger
Intensity score: | 0.458 |
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 should have stayed at home.
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: My eyes have been dilated. I hate the world right now with the rage of a thousand fiery dragons. I need a drink.
This tweet contains emotions: | anger, disgust |
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 just got murdered in madden. 🤕
This tweet contains emotions: | |
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: So is texting a guy 'I'm ready for sex now' considered flirting?'
Emotion: fear
Intensity class: | 0: no fear 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: 2 biggest fears: incurable STD's and pregnancy...I mean, they're basically the same thing anyway #forlife #annoying #weirdsmells
This tweet contains emotions: | anger, disgust, fear, pessimism |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @DanLanthier That was exhilarating hockey. They're still out if Russia wins in regulation I'm reading. #fuck
Intensity score: | 0.387 |
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: Bill Clinton: 'Do not grow weary of doing good.' @ClintonGlobal #CGI2016
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @macmel19 come play madden at my house after school
This tweet contains emotions: | anticipation, joy, optimism |
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: @deadlyjokester *she let out a playful gasp and slowly wrapped her arms around his neck, kissing him back*
This tweet contains emotions: | joy, love, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: incredible that anthony weiner has been caught chasing a busty milkmaid across a park at double speed while jaunty music plays
Emotion: joy
Intensity score: | 0.380 |
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 scrubbed hands 5 times before trying to put them in.\nEyeballs #burning \n#EvenMoreBlind accidentally scared the #cat whilst #screeching
Emotion: anger
Intensity score: | 0.604 |
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 feel so blessed to work with the family that I nanny for ❤️ nothing but love & appreciation, makes me smile.
Emotion: joy
Intensity score: | 0.938 |
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: “Winners are not afraid of losing. But losers are. Failure is part of the process of success. People who avoid failure also avoid success.'
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: one thing I can say is that you kept me smiling
Intensity score: | 0.871 |
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: #hate going to the doctor on so many levels but least I can go sleep with a #smile just watched #Dwight on live nation
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: Live simply. Dream big. Be grateful. Give love. Laugh lots. - Unknown #quote #inspiration #happy
This tweet contains emotions: | joy, love, 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: @City_tv is like the big bully in class ruining everyone's lunch but instead of taking our lunch money they took away family feud
This tweet contains emotions: | anger, disgust |
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: @MarissaYerton wanna shake my tree??? 🍑🍑🍑🍑
Emotion: fear
Intensity class: | 0: no fear 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: I'll happily be rude to people who personally insult me unprovoked, they deserve it 👍 Just as good people deserve respect
This tweet contains emotions: | anger, disgust |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Lmboo , using my nephew for meme
Intensity class: | 1: slightly positive emotional state 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: It's not that the man did not know how to juggle, he just didn't have the balls to do it. \n#funny #pun #punny #lol #hilarious
Emotion: joy
Intensity score: | 0.519 |
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: Aw there's a young fox outside on the grass just jumping around all playful and having a little stretch 🙈 soo cute 🐺
This tweet contains emotions: | joy, love, optimism, trust |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: @DayveeSutton BIG thank you for liking my little Pumpkin :) She's the smallest of my 4, but is very playful & wakes me up most mornings.
Intensity score: | 0.940 |
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: That AK47 leave your spine with a frown
Emotion: sadness
Intensity score: | 0.521 |
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: @marisa_enbot Being with you makes me somewhat gloomy.
Emotion: sadness
Intensity score: | 0.800 |
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: @BlurtAlerts 'the darkest of nights can be bright, the solemn of faces lights up with a smile'. -@Totemprince believe in me, as I do in you
This tweet contains emotions: | anticipation, joy, love, optimism, trust |
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: There is something v satisfying about opening an old 'to do'.doc file and being able to check off all the things you have done
Emotion: joy
Intensity score: | 0.602 |
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: Well this is flipping great! Flipping standstill on the freeway! #anxiety #stepofftheledge #youvegottobekiddingme
Emotion: fear
Intensity score: | 0.763 |
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: okay i AHVE to start mob psycho 100 today. if i dont im going to fight myself
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: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO #bitter
Emotion: anger
Intensity score: | 0.517 |
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: @LonelyGoomba I wouldn't bring this up if I were you. It's a very touchy subject. And people get way to offended these days
Emotion: anger
Intensity score: | 0.328 |
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: That house on #GrandDesigns isn't in a forest it's in a wibbly wobbly pine plantation
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @xxmariab listen yh don't provoke me cos I'll make you cry
Emotion: anger
Intensity class: | 2: moderate 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: @holly_lolly7 I just have serious respect for any man that can pull off a bun better than I can, like maybe they can teach me their ways.
Emotion: sadness
Intensity class: | 0: no sadness 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: but throughout that entire thing I was shaking rlly bad and my heart was racing and I was almost in tears lmao (thanks mr.*****)
Emotion: fear
Intensity class: | 3: high amount of fear 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: 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 class: | 2: moderate amount of joy can be inferred |
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: @SalterUK second pair of scales I have bought that have stopped working after battery change. Is this an issue you are aware of? #unhappy
Intensity score: | 0.161 |
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: @ajjaffe @MattMurph24 @nickspencer I was under the impression that stop and frisk was a concern to many in NYC. Didn't deBlasio rein it in?
This tweet contains emotions: | anticipation, disgust, sadness, surprise |
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: -- used as a pawn in this red woman's game] For now, try not to fret and act as if nothing is amiss. This is a royal -- @TheLadyOfGlenco
Emotion: anger
Intensity class: | 1: low amount of anger 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 just killed a spider so big it sprayed spider guts on me like a horror movie.\n#ugh #revenge
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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: 😑😑😑<---- that moment you finish a Netflix series and have nothing else to watch. #depression
Emotion: sadness
Intensity score: | 0.750 |
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: @BlairWitchMovie love new movie\n#BlairWitch #blairwitchproject #horror #HorrorMovies
This tweet contains emotions: | fear, joy, love |
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: @BBCPolitics @BBCNews I'd rather leave my child with @BorisJohnson
Emotion: fear
Intensity score: | 0.438 |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: PM nawaz sharif adressed in uno produced mirth among kashmires well done pak wel done nawaz .we want demilterization
Emotion: joy
Intensity score: | 0.417 |
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: Fam what seems more fun for a photo booth: being able to instantly post to Twitter or having to wait till sober to see the hot mess
This tweet contains emotions: | anticipation, disgust, joy |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive 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: #Awareness seek #shelter .#Letgo Old #habit of chasing #desires resultin in #anger #fear #worry .#Choose #Satisfaction within #Peace #Relax
Intensity class: | -1: slightly negative emotional state 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: No but that's so cute. Atsu was probably shy about photos before but cherry helped her out uwu
Emotion: fear
Intensity score: | 0.167 |
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: @mikebairdMP @AndrewConstance @nswtaxi how many sex cases u need before u guys learn UBER is shocking to the consumer unregulated
This tweet contains emotions: | anger, disgust, sadness |
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: @msfang they say you attract what you see, maybe I shouldn't be a pessimist but I don't wanna take any chances lol can't wait to relocate
Emotion: sadness
Intensity score: | 0.333 |
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: @Evan_McMullin He's spent his campaign dividing people up and pitting them against each other. His message is to fear and resent the 'other'
This tweet contains emotions: | anger, disgust, fear, 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: The weather sure matches the mood in this state today.. #gloomy
This tweet contains emotions: | sadness |
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: @dilancliff @jackcourtney95 @ConnorGarnett1 Connor said he's worried that Jack will steal his girls on a night out
Emotion: fear
Intensity class: | 0: no fear 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: Just got done watching Jeepers Creepers it was epic #horror #horrormoviesarebest #movies #movie #horrorfilm 🎬📽🎬
Emotion: fear
Intensity score: | 0.604 |
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: Fuck me....what the fuuuuuuuck did I just watch?!?! #STAGESCHOOL is awful.....no that flatters it!! #shocking 😮👎
Emotion: fear
Intensity score: | 0.625 |
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: #PeaceIsPossible when both party accept one another and rejoice together after #OndoGuber,Nov26. @JciOndokingdom @cuttie_dove @Lekibeat
This tweet contains emotions: | joy, optimism |
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: sixth form has destroyed my glowing skin im fuming
Emotion: anger
Intensity class: | 2: moderate amount of anger 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 lost a couple niggas I want revenge so put me in coach
Emotion: anger
Intensity class: | 3: high 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: Having one of those #angry days. I will have to stop watching #news.
This tweet contains emotions: | anger, disgust |
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 broken spirit saps a person's strength.' {Proverbs 17:22} #WednesdayWisdom
This tweet contains emotions: | joy, optimism |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: I'm so so so excited for #UsernameRegenerated I can't wait! I wish I could get a signed copy! I'm so happy for you. @Joe_Sugg
Emotion: joy
Intensity score: | 0.900 |
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: @TELUSsupport any tips on why our wifi is terrible the past week? Slow or dropping out continuously - NW Calgary 😕
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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