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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil Remix)' is raging at ShoutDRIVE!
Emotion: anger
Intensity score: | 0.562 |
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: @TurtleTitan2003 (She laughed a bit. Of course it was! Aria shook her head, calming her mirth so she could listen to Mikey.) No, actually. +
Emotion: joy
Intensity score: | 0.438 |
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: Feeling like I've had the worst night of sleep ever - not great before the #London to #Brighton #cycle ride for @DMTFYP 🚴100k #apprehension?
This tweet contains emotions: | anger, disgust, fear, pessimism, sadness |
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 sure that men can handle a woman that's got her crap together. #intimidation #independent
Emotion: fear
Intensity score: | 0.396 |
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: @thatsabingo grim really
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: @DepressedStride > huff louder
Emotion: anger
Intensity score: | 0.375 |
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: 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: Asked one thing from our guys tonight and got it! #happy #proud #disappointed - THAT IS FOOTBALL #timetoclimbthetable
This tweet contains emotions: | joy, sadness |
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: @aidankerrpol I think you should do. Get the fashion police involved.
Emotion: fear
Intensity class: | 0: no fear 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: To com sede de milk shake
Emotion: fear
Intensity score: | 0.312 |
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: @Dubai92 try asking for a cheeseburger with only onion & mustard at any #McDonalds #hilarious
This tweet contains emotions: | joy, surprise |
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: Vals always smiling I love it #gbbo
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: @cresbots dw I think cheeks are the most attractive thing in guys too it's terrible tbh
This tweet contains emotions: | anger, disgust, fear, sadness |
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: Niggas murking in each other. In murky water, I try to swim.
This tweet contains emotions: | anger, disgust, optimism |
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: Did u laugh today? Laugh hard? I hope so..we NEED laughter now. #smile #love
Intensity class: | 3: very positive emotional state 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: never #make a decision when you are .. #angry >_< .... and never make a #promis when you are #happy :) :*
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Watch this amazing live.ly broadcast by @footballrocks123456 #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: This nigga doesn't even look for his real family 🙄😂 #sad
Emotion: sadness
Intensity score: | 0.729 |
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: we never taste happiness in perfection, our most fortunate successes are mixed with sadness. #success #sadness #perfection #fortunate #mixed
Emotion: sadness
Intensity class: | 2: moderate 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: This pretentious dick in Night Gallery just fucking, used a towel to dry off his sink
Emotion: sadness
Intensity class: | 0: no sadness 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: Recommended reading: Prisoners of Hate by Aaron Beck #anger
This tweet contains emotions: | anger |
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: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: 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: @sundersays made me laugh, that quote. In a sort of rueful way.
This tweet contains emotions: | joy |
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: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡
Emotion: anger
Intensity score: | 0.438 |
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: Has September been dull? Get #SuperSeptember from Jumia Food as a new user. Order from The Place, Barcelos or Shawarma & Co for 30% off
Emotion: sadness
Intensity score: | 0.292 |
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: @howcaniapply @radioscarboro Much to my delight!
Emotion: joy
Intensity class: | 3: high 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: @evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me then!
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: ♪OLD FISH #discourage
This tweet contains emotions: | anger, disgust, pessimism, sadness |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: anxiety level- 100
Emotion: fear
Intensity class: | 3: high 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: Use your smile to change the world. Don't let the world change your smile.' #quote #actorslife #smile #love #hardworkpaysoff #fun
Emotion: joy
Intensity score: | 0.562 |
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: @5SOS I swear I will not go mourn because😭😭💔💔
Emotion: sadness
Intensity class: | 2: moderate amount of 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: Long day, kind tweets, our melancholy, @DownFrontArtist defeats.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Look at me. Made it through the day without a meltdown. #anxiety
Emotion: fear
Intensity score: | 0.667 |
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: @__PeterPanda yes bro it's actually breezy
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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: If you really care like you state @flyfrontier @FrontierCare then I would seriously address sensitivity training to your employees #awful
This tweet contains emotions: | anger, disgust |
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: @savageimiike one of my favorite songs brother, real talk.
This tweet contains emotions: | joy, optimism |
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: What if.... the Metro LRT went over the Walterdale?!?! 😂 #yeg #levity
This tweet contains emotions: | joy, surprise |
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 wonder what would happen if I were to tell some people the truth #savage #uhoh #angry
Emotion: anger
Intensity score: | 0.583 |
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: All hell is breaking loose in Charlotte. #CharlotteProtest #looting
Emotion: anger
Intensity class: | 3: high 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: @_Briannax33 @TheFunnyVine @MarielaLynn_ @karengutiii_ gotta shake the booty instead though, makes sure it's all good 🙂
This tweet contains emotions: | joy |
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: @AlohaJonathan @AtlantaFX all I've seen is that clip of the jail scene with the sexuality part which was hilarious
Emotion: joy
Intensity score: | 0.542 |
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: @JoeFahezy I could of told you that one lmfao 😂 Then old niggas get wasted and start fucking around
This tweet contains emotions: | anger, disgust, joy, trust |
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: 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 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: Learning to trust God can quiet a troubled & restless heart, bring peace to a weary soul, & eliminate the hopelessness that #addiction is!
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: @p_dortch7 I make sacrifices to make you happy
Emotion: joy
Intensity class: | 0: no joy 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 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: i'm doing laundry and watching that 70's show with a bunch of strangers. #happy #birthday #to #me
Intensity class: | 2: moderately positive emotional state 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: I had really strange and awful dreams last night. I'd didn't even eat cheese before bed #lovemysleep
This tweet contains emotions: | anger, disgust, fear, joy, love, 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: Misery loves company. The church ought to be a place where it finds none.\n-Pastor Kris Theobald #joy
This tweet contains emotions: | joy, optimism |
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: @simmy_hanley @Schrise also a
This tweet contains emotions: | |
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: What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #hangry #day5
Emotion: anger
Intensity score: | 0.729 |
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: @iamsrk what's up w the gender bias? #indignant This fancypants saddler's daughter will opt for the leather jacket, thank you very much.
This tweet contains emotions: | anger, pessimism |
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 forced into a fake hug by someone who didn’t flinch to get litigious with you in the past - #awful 😖👺🙅
This tweet contains emotions: | anger, disgust, fear |
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: @emorottie true sonicsatam was serious and a bit dark. Aosth is like super goofy and Looney toonie to a degree
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). | Tweet: but losing these games are the worst, you end up feeling a mixture of anger and sadness and shame and anxiety and it lasts for days
Intensity score: | 0.196 |
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: This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including me😑😑😂
Emotion: fear
Intensity score: | 0.458 |
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: #Partners are willing to #walk alongside you without being #intimidated by you. #WhoIsIT #Part2 #RelationShift #CLifeMacon
This tweet contains emotions: | joy, love, optimism |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @RealPaulWalker R.I.P Paul, furious 8 can't wait
Emotion: anger
Intensity score: | 0.254 |
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: Don't let the behavior of others destroy ur inner peace.' -Dalai Lama @OWNTV #healing #depression #intuition #meditation #book
Emotion: fear
Intensity score: | 0.220 |
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: Omg I actually thought she was going to jump. #bully #SouthPark20 #southpark
Emotion: fear
Intensity score: | 0.729 |
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: @JustinRow10 madden is the reason why controllers are snapped
This tweet contains emotions: | disgust |
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: And thus begins my 2 week holiday! 😏😏\n#holiday #cheering #ghastinoir #rest
Emotion: joy
Intensity class: | 3: high amount of joy 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: About 7 weeks till I can pick up my camera again. Though I think there is a group cemetery shoot in october I can make! #photography
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @_JuliaSteiner : YES ! Right ? I mean I wish you hadn't been discouraged to see #MikeandMolly because so many parallels really -
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: Wish I could convince the rest of my children to go to their fucking preschool and elementary schools with fear of gun violence.
Emotion: fear
Intensity score: | 0.840 |
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: Ill say it again. If I was a Black man Id be afraid to leave my house or have a moving violation.\n\n#TerranceCrutcher #truth #sad
This tweet contains emotions: | 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: Trust me to lose my wallet and have to call Lifeguard & Swimmers social early as VC @YSJFC
This tweet contains emotions: | anger, pessimism, surprise, trust |
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: @Lowetide there is no room for jokes in hockey! This is a serious business where we made up teams to fill out the tournament!
Emotion: anger
Intensity score: | 0.500 |
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: .@SimonNRicketts if you don't know what a patronus is, I don't think we should have to tell you
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Being in the countryside all day was so pleasing
This tweet contains emotions: | joy |
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: @ynnsanity Maybe that's why, we're asked to study hard and get a job that we like. That way it wouldn't be that dreadful.
Emotion: sadness
Intensity score: | 0.458 |
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: @msdhoni #dhoni bcoz of is calmness nd match winning finishers nd a proud #miltirian #dad#husband nd wonderful humanbeing nd his #smile
This tweet contains emotions: | joy, love |
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: @ReadingFC @EFLCup - remind them 'Twenty's Plenty' #revenge!
Emotion: anger
Intensity score: | 0.438 |
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: @Koishiteruze she was scare not knowing what to do
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @HMiglino @CParks777 @Coco_Wms @bodyfit67 @TruthEqualsFact @politicususa I have never been more anxious of a election in my life‼️
Emotion: fear
Intensity class: | 3: high amount of fear 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: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious
Intensity score: | 0.516 |
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: Positive #psychology research shows salespeople who score in the top 10% for #optimism have 88% > sales than those in top 10% for pessimism.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude 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: @6itmap I can't help but feel melancholic!
Intensity class: | -2: moderately negative emotional state 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: Ffs dreadful defending
Emotion: fear
Intensity class: | 0: no 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: @LaneWoolery @FFKazman experience all plays a role in that, it's education and preparedness not fear
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: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
Emotion: anger
Intensity score: | 0.625 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem
Intensity score: | 0.650 |
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: Im so serious about putting words in my mouth bitch don't add ' the ' to my sentence if I didn't say that shit on bloods
Emotion: sadness
Intensity score: | 0.458 |
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 don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes #outrage
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: @AskLloydsBank #worst exec complaints ever #horrific customer journey
Emotion: fear
Intensity class: | 0: no 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: Having a terrific Tuesday? Crush it today with the Power of 4. Treat your internet like Pizza =D \n#PowerOf4
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Dehydrated, exhausted, stressed but still blessed.
Emotion: joy
Intensity class: | 0: no joy 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: @daynutrition @sliqnicq @nytimes I don't listen to White Trash talk about blacks. It's insult. Talk about your race living in trailers
Emotion: anger
Intensity class: | 3: high amount of anger 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: @marcavis @AntisocialJW2 I've always been fiery, but never radical.
Emotion: anger
Intensity score: | 0.438 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @crimsonwulfe it's super sad!! Especially when you are talking to a real person and not a bot! Makes it feel real :(
Emotion: sadness
Intensity score: | 0.750 |
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: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #offense #lineman
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @glacierqxeen \n\n'Whoo, welcome~!' He greeted cheerfully.
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: This whole #VanRE + extradition might turn into a Pandora's box. JT has no idea about that murky corrupt guanxi in China; Toad vs Dada ;-)
This tweet contains emotions: | disgust |
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: Why is it so windy? So glad I didn't ride my bike. #wind
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: @MannyM83 @DareToReagan oh yeah. I HATE the air raid and I don't like the Oregon/Baylor offense and I'm not a fan of the ole miss one either
Emotion: anger
Intensity score: | 0.468 |
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: Still waiting to see if my @london2012track will make an appearance next week - two months today it was ordered #badservice
This tweet contains emotions: | anger, disgust, joy, 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: What we fear doing most is usually what we most need to do.' ~Tim Ferriss #inspiring #inspired #motivation #fear #success #hustle
This tweet contains emotions: | fear, joy, optimism |
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: @delon03 can you at least just walk past her and break out into laughter
Emotion: joy
Intensity score: | 0.417 |
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: @mgcsartwork I nearly started crying and having a full on panic attack after tatinof bc of the crowds so I feel him
Emotion: fear
Intensity class: | 3: high amount of 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: @LmRyle @tomcolicchio @realDonaldTrump @HillaryClinton @ajjaffe I understand your concerns but look at her foundation contributions
This tweet contains emotions: | anger, disgust, surprise |
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: testing #angry
Emotion: anger
Intensity score: | 0.667 |