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Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: felt a bit shit getting a very high blood sugar then i remembered it's my first one above 15 this week which is incredible for me!
Emotion: joy
Intensity score: | 0.480 |
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: I got so much fan's on here! Y'all and vixx keep me smiling ❤❤❤
This tweet contains emotions: | joy, love |
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: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #scam
Emotion: sadness
Intensity score: | 0.625 |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: The joyful tambourines have ceased. The noise of the jubilant has stopped. The joyful lyre has ceased. -Isaiah 24:8
This tweet contains emotions: | pessimism, sadness |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @7we4k LordDerply for it. It's like yugioh for animated shows!
Emotion: joy
Intensity score: | 0.438 |
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: So Rangers v Celtic ll
This tweet contains emotions: | joy |
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: penny dreadful just cleaved off a fraction of my heart
Emotion: fear
Intensity class: | 1: low amount of 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: Projection is perception. See it in someone else? You also at some level have that within you. #worry
Emotion: anger
Intensity score: | 0.333 |
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: @dilancliff @jackcourtney95 @ConnorGarnett1 Connor said he's worried that Jack will steal his girls on a night out #nervous
Emotion: fear
Intensity score: | 0.812 |
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: The Zika #Hoax Files: DEET is part of a binary chemical weapon targeting your brain: #Toxin #neurological #USCitizens #Insect #mammal
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: If my luck the rest of Fall goes anything like today, I think I'm going to like this season. #bestdayever #magic #work
Emotion: anger
Intensity class: | 0: no anger 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: Because it was a perfect illusion, but at least now I know what it was. #ladygaga #iscalming#mysoul
This tweet contains emotions: | anticipation, 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: @Mysbananen yes hc and we got him very low. I know how it feels. Our damage is low enough as it is never mind having the rng of being enrage
This tweet contains emotions: | anger, disgust, optimism |
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: the rappers who stayed true to the game is rich.
Intensity class: | 1: slightly positive emotional state 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: Very long day. Thank goodness for Bake Off to brighten up a weary Wednesday ☺ #GBBO
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: Just had #efficient #great #smiling service @AppleBelgique store. Impressive team of geniuses ready to redefine what customer service is!
Emotion: joy
Intensity class: | 3: high amount of joy 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: interesting that we,an Authentic Afghan Restaurant,R getting calls from the media over resent tragedy that happened in NJ@latimes @NBCNews
This tweet contains emotions: | |
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: The ppl on here defending cops as they continue to kill innocent ppl or ppl who aren't innocent but clearly cooperate irritate tf outta me
Intensity class: | -2: moderately negative 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: remember when that guy got #angry that i kept saying gary sanchez was the best baseball player in the world... lmao
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @Owlman2011 @charitypricey @jon_newsome @PRAWNSANDOWl @smith_alister @MikeConnelly9 average 22000 for the massif...
This tweet contains emotions: | anticipation, 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: Why is it so windy? So glad I didn't ride my bike. #wind
Emotion: fear
Intensity score: | 0.462 |
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: @carysmithwriter @Maria_Savva @RealRockAndRoll We're the least known band in the World, but so glad you asked #muchlove
Emotion: joy
Intensity class: | 1: low 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: Mon Celtic, give us something to cheer - place is empty, soaked & its my wee nephew's Birthday ffs, started well, now dropped off.
Emotion: joy
Intensity class: | 0: no joy 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: @MidgetTamer @RAIDERS @52Mack_ Make him be a bully. Sit him in a room by himself and let him look at Debo all day.
Emotion: fear
Intensity score: | 0.438 |
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: Meghan is teaching the blues in keyboard fundamentals II and all these classical majors are like WTF?!
Emotion: sadness
Intensity class: | 0: no sadness 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: @AaronRodgers12 You will tell people not to panic. But let see when was the last year the best QB in the NFL got his team in the SB???
Emotion: fear
Intensity score: | 0.375 |
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: @alliex both, scrap *ll the rage instead
Emotion: anger
Intensity score: | 0.583 |
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: @_MariaPetrova should have stopped after 'smiled'. Being rude=not the same as being funny.It was just being mean #stoppickingonwomen
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: People want me to go pine ridge, little wound or Oelrichs. Starting to think about transferring but I wanna stay at cloud. Decisions man.
Emotion: sadness
Intensity class: | 0: no sadness 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: @GOT7Official @jrjyp happy birthday jin young!!!!!! #PrinceJinyoungDay #happyjinyoungday #got7 #happy #birthday
This tweet contains emotions: | joy, love, 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: I wanna kill you and destroy you. I want you died and I want Flint back. #emo #scene #anger #fuck #die #hatered
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: The horrible puns for the day have been made. I shall return to my cage in a dark corner by myself while crying & laughing hysterical now.
Emotion: fear
Intensity score: | 0.646 |
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: A3: But chronic sadness may mean there are underlying issues than getting sad occassionally over a particular issue (2/2) #mhchat
This tweet contains emotions: | disgust, fear, pessimism, 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: Seeing huge or really full backpacks on people fills me with anxiety
This tweet contains emotions: | fear, pessimism |
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: @fillegrossiere @PeasParsley @tombrodude bobs burgers is an animated show. Maybe Bob looks like him. They would cast him based on voice too
Emotion: joy
Intensity score: | 0.333 |
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: And there is despair underneath each and every action \nEach and every attempt to pierce the armour of numbness ' -Mgla
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: No one's gonna chill bc fake outrage is fun or w/e but SPACE COLLEGE
Emotion: anger
Intensity class: | 1: low 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: Free live music in DC tonight! #blues with #MoonshineSociety at @thehamiltondc in the Loft starting at 10:30pm @FreeinDCBlog @WTOPFreebies
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: I envy ice, at least if you give it warmth it melts #TaylorLautner #Twilight #quote
This tweet contains emotions: | anger, joy, optimism |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @Marissa_Frost @NevAmore_MFC awe I love you twooo!!! come adventure with me someday!
Emotion: fear
Intensity score: | 0.134 |
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: am actual stranded at ma dad's maself n the fuckin fire alarm went off n a dunno if it's just for his gaff or the whole building :)
This tweet contains emotions: | anger, disgust |
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: Avoiding #fears only makes them scarier. Whatever your #fear, if you face it, it should start to fade. #courage
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Never leave me alone with my credit card. Nope nope mope.
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: So much #terrible #music playing on the #radio has started to make me wonder weather my taste in music is good or just completely shit
This tweet contains emotions: | anger, disgust, 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: However the agent was inauthentic, my sister still loves me, & I'm still alive. So I guess it wasn't that bad. #socialanxiety #anxiety
This tweet contains emotions: | fear, joy, love, optimism |
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: ..... wakes up and says 'have you tried changing her nappy?' 😡👊🏼 #rage!!!!
Emotion: anger
Intensity class: | 3: high amount of anger 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: @mdivincenzo9 he's stupid, I hate him lol #bitter
Emotion: anger
Intensity class: | 3: high amount of anger 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: @vkon1 @WindyCOYS by all accounts he was poor first half. Started showboating once game was safe #bully
Emotion: fear
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: @Klipto the orange one is #poisonous and #bitter. You shouldn't judge the #blue one by how it looks but by how it tastes, #delicious.
Emotion: anger
Intensity score: | 0.312 |
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: @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'
Emotion: anger
Intensity class: | 2: moderate 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: @AlZeidenfeld @DavisMattek @FI_GPP_Quotes @LoughyFI @FantasyInsiders terrible handle, but I owe whoever runs it a lot. #GPPHallMonitor
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: Inadequacy slithers from her ears and wraps itself around her neck like the boys she wants to love her. #mpy #vss #quote #depression #poetry
This tweet contains emotions: | pessimism |
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: @Courteoussoul @MattyMcDee I'm at 349 and just decoded 20 or more blues and not one was over 340, where you getting your blues?
Emotion: sadness
Intensity class: | 0: no 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: @sydneyswans #cheer #cheer the #red and #white we are now off to #grand final to #win the #fight. Thanks @JetstarAirways
Emotion: joy
Intensity score: | 0.625 |
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: Imagine being bitter when your bias is dating & sending threats to their partner. Like why? That's nasty. And they don't even know you exist
This tweet contains emotions: | anger, disgust |
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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #haunt #kittens
This tweet contains emotions: | anticipation, fear, joy |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Controlling #anger is a sign of those #righteous people promised #Paradise in the #Quran in Surah Al Imran verses 133-134 #reward #goodDeed
Emotion: anger
Intensity score: | 0.417 |
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: The new lock sound is grim
Intensity score: | 0.355 |
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: @NessaMatthews he's perfect. But not even in that way where you sort of resent him or suspect that he leads a double life. Just perfect.
This tweet contains emotions: | joy, love, optimism |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: If I was friends with me I'd hate me SO MUCH with the amount I bully them
Emotion: fear
Intensity class: | 0: no 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: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts
This tweet contains emotions: | anger, disgust, 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: I dread this drive every Wednesday 😩
Emotion: fear
Intensity score: | 0.792 |
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: Hennessey - dreadful. Mutch - is he even on the pitch? Fryers - out of his depth unfortunately. #CPFC
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Where's your outrage when a black man kills another black man in the streets?
Emotion: anger
Intensity class: | 3: high 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: No quite sure how Craig Gordon's stayed on the park there !!
Emotion: sadness
Intensity class: | 0: no sadness 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: @sophieRblake @SkySpeedway @Kelvin_Tatum @chrislouisIWSC no wonder Kelvin and Chris are smiling! 😍
This tweet contains emotions: | joy, love, optimism |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: but that was a mistake and a half assed excuse and now here i am burning in hell forever
Intensity score: | 0.306 |
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: @HytheHighborne -Sylvia was elated to receive kisses from the little prince, her bright smile clear as she glanced to Garrett and Elyse- --
Emotion: joy
Intensity score: | 0.667 |
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: final vestiges of my 90's childhood were just dashed on the shoals of hearing a house cover of Tracy Chapman's 'fast car' at the dayjob
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: .@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: 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: GKN so lively as well, mad quick
Emotion: joy
Intensity class: | 0: no joy 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: You ever just be really irritated with someone u love it's like god damn ur makin me angry but I love u so I forgive u but I'm angry
Emotion: anger
Intensity score: | 0.667 |
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: @d6vey you are grim mate
Emotion: sadness
Intensity score: | 0.500 |
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: 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: 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: @sphiwememela...its bad.I am fearing for my life🙏
This tweet contains emotions: | fear, 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: @mattstottwrites For me not so much outrage as ‘oh, using female body to sell something, AGAIN’
This tweet contains emotions: | anger, disgust |
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: @Jpennifan OH sorry for your divorce but don't worry I will be a good wife then (no reference)
This tweet contains emotions: | anticipation, joy, 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: People too weak to follow their own dreams will always find a way to discourage yours.
Emotion: sadness
Intensity score: | 0.562 |
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'm strong 'cause I'm weak\nI'm beautiful 'cause I know my flaws\nI'm fearless 'cause I've been afraid\nI can laugh 'cause I've known sadness..
Emotion: sadness
Intensity score: | 0.500 |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: #Talking about our #Problems is our greatest #Addiction\n\n#Break the #habit\n\nTalk about ur #Joys\n\n#quote #optimism #problemsolving #behappy
This tweet contains emotions: | joy, optimism |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO #bitter
Intensity score: | 0.250 |
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: It is a solemn thing, and no small scandal in the Kingdom, to see God’s children starving while seated at the Father’s table. -AW Tozer
Emotion: sadness
Intensity score: | 0.375 |
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: @tweet_faver its reaper!! before he became reaper, you can find their stories on the wiki and thru the comics and animated shorts!
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @CNNPolitics I can't wait to hear what he had to say about the brilliant Dr. Hawking... it should be rich... In the poorest of taste! #bully
Emotion: fear
Intensity score: | 0.354 |
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: @ChowdharyMahima Appreciate ur 'half truth.' Don't let ur good judgement swayed in the realm of propaganda. State doesn't sponsor terrorism.
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: @iamTinaDatta love you so much #smile 😊😊
Emotion: joy
Intensity score: | 0.896 |
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: @FacMagnaAmerica #CureForInsomnia And the left said WE were all doom & gloom. The Trump Train is so much more fun!
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: Was going to get a new #horror movie #tattoo tonight, but my artist flaked out on me for the 3rd time & said he was done tattooing!
This tweet contains emotions: | anger, fear |
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: @kymwhitley hello Miss Lady I'm sure today brings you happiness and laughter use your voice also to make us laugh god knows we need it
Intensity class: | 1: slightly positive emotional state 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: @GOtvNg CN seems like you only appreciate good reviews. No apologies to my concern years ago.
Intensity class: | -2: moderately negative emotional state 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: Looks like #India is finally taking #Pakistan n it's #terrorism to task.#uriattacks.
Emotion: fear
Intensity score: | 0.583 |
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 am just so bitter today 😐
Emotion: anger
Intensity score: | 0.583 |
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: @RaveenElexiis I fought a racist girl and she stayed in GAVC so if you get kicked out I call BS
This tweet contains emotions: | anger, disgust, 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: @Hoopdawg87 @MickThePerm Meanwhile white cops keep killing black people. But there's less outrage about that. Strange society that.
Emotion: anger
Intensity score: | 0.500 |
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: 2,034 words today #amwriting #horror #novel 42,080 'Magnitude' total so far. 25Kish to go.
This tweet contains emotions: | anticipation, trust |
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: Seeing an old coworker and his wife mourn the loss of their 23 year old daughter was one of the saddest things I've ever seen 😢
This tweet contains emotions: | disgust, fear, pessimism, 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: Class is canceled due to a funeral. Not sure if it's appropriate to be happy or sad..
This tweet contains emotions: | joy, 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: I lost my blinders .... #panic
Emotion: fear
Intensity score: | 0.975 |
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: The liberal outrage over don king saying the N-word really angers me. The white yuppie progressives can go fuck themselves, shame on blacks
Intensity score: | 0.177 |
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: penny dreadful just cleaved off a fraction of my heart
This tweet contains emotions: | sadness |
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