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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: Apparently all the money in the world can't buy a single person to tell you not give your own waist a hearty two-handed pinch while onstage.
This tweet contains emotions: | anticipation |
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'm about to block everyone everywhere posting about the storm. I think everyone is aware of the damn rain and what not so quit. #damn #rage
This tweet contains emotions: | anger, disgust |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: Anyway I'm in a car with a furious white men and I have a really funny story to tell when I'm sober π
Emotion: anger
Intensity score: | 0.333 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: Seeing something that hurt so much in the past in front of me now and not a single sign of grieve. Magicalllll. β¨
Intensity score: | 0.452 |
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: @Bietron π€ dont be sad.. btw good night davina..go sleep larh..
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: Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk
Emotion: sadness
Intensity class: | 1: low amount of 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: Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do #dread
This tweet contains emotions: | anger, disgust, fear, sadness |
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: The bubble has officially burst. 98 boys to beat for the trophy and all the glory #wptmain #bye
This tweet contains emotions: | anticipation, joy |
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: Going home is depressing
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: @JaredLeto Jared + #snap? π
Emotion: anger
Intensity score: | 0.188 |
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: @Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #appauling #dismal #beyondajoke #useless
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: Just put the winter duvet on βοΈβοΈπ¬βοΈ
Emotion: sadness
Intensity score: | 0.104 |
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: Thanks for making our Mass with Fr. Vallely respectful, meaningful, and joyful @ACSSCrusader @AssumptionHCDSB ! #SeeWithEyesOfMercy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @TelegraphNews why is this evil corrupt fuck still knocking about? The wrong people die I'm telling you. Do you job grim reaper!
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: Ellie from @myspanishboots is here to answer your questions! Don't be shy - she loves talking about #equestrian fashion ;-) #equestrianhour
Emotion: fear
Intensity score: | 0.208 |
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: Luke 1:14\nHe will be a joy and delight to you, and many will rejoice because of his birth
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #shocking #appauling #dire #dismal #beyondajoke #useless
Emotion: sadness
Intensity score: | 0.667 |
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: Congrats to #Nicole #bb18 ... Fix that nose now πππ» #bitter #petty
Intensity class: | -1: slightly negative emotional state can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @HoustonTexans just trying to go home tonight? A run on 2nd and 20 and a run on 3rd and 20? That's what champs do...#sike #losers #terrible
This tweet contains emotions: | anger, disgust, pessimism |
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: @ManUnitedWriter He has had a dreadful first half, not to mention rashford would've got on the end of a couple of those through balls #pace
Emotion: fear
Intensity class: | 0: no fear 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: @EmilySmissaert @navinrmal it's a shocking revelation!!!!
This tweet contains emotions: | anger, anticipation, disgust, fear, sadness, surprise |
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: Drinkin me some red wine & listening to some fred mcdowell playing the #blues . He did not play no #rocknroll. Fantastic noise #justsaying
This tweet contains emotions: | joy, 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: i've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be. #apprehensive
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: My oldest cat pisses me off. She's always been weary of Kennen (senile kinda), but recently shes been sweet. Until she attacked and bit him.
Emotion: sadness
Intensity class: | 2: moderate 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: @Yannarell @LOLGOP Despite your #outrage fatigue, don't lose your shine
Emotion: anger
Intensity score: | 0.417 |
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: Can't believe I've only got 2 days off left π #backtoreality #raging
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @pbhushan1 @IndianExpress so in your opinion is this the worst delhi govt? #acrid #hypocrisy
Emotion: anger
Intensity score: | 0.526 |
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: @deodevine6 i can't bully you and niall impossibleπ
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: 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: 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: @Rbrutti what a #happy looking #couple !
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: Their engine runs on fuel called whining :-)\n\nU jst hv 2b observant..\nHar din Rona dhona & complain. \nHappy news makes them unhappy :-)
Emotion: sadness
Intensity score: | 0.479 |
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: @harrietemmett great minds think alike.
Emotion: joy
Intensity class: | 1: low amount of joy 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: The #sober equivalent of being in a #bar women's restroom is the #salon. Everyone compliments each other & become friends. I love it
Emotion: sadness
Intensity score: | 0.271 |
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: Pro-lifers are condemning #MenForChoice - but I haven't seen any of you criticize the dismal American foster care/adoption system.
Emotion: sadness
Intensity score: | 0.458 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I feel ghastly and I'm really hoping it's just a post-birthday slump. Back to full research mode tomorrow either way.
Emotion: fear
Intensity class: | 1: low amount of 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: Unmatched Party Specialist /co @T3RevNeverEnd #serious #job #titles
Emotion: sadness
Intensity score: | 0.208 |
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: Can't believe @virginmedia are putting their prices up!! They already know I'm struggling to pay my bill & won't change my package!!
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Just got back from seeing @GaryDelaney in Burslem. AMAZING!! Face still hurts from laughing so much
Emotion: joy
Intensity score: | 0.920 |
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: @_iConceitedOne_ Hi! We hate that you're unhappy your bill keeps going up! What unique features do you want with your plan? ^RobertS
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: Big thanks to Brad Pitt who's trashy ways brought a modicum of levity to an otherwise lame week of political π€.
This tweet contains emotions: | joy, surprise, trust |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: The Quarterback' wrecks me every time.. #glee
Intensity score: | 0.357 |
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 race advances only by the extra achievements of the individual. You are the individual. ~Charles Towne\n #inspire
Emotion: joy
Intensity class: | 0: no joy 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: crying because @msleamichele's snapchat is bringing on some serious #glee feels πβ€
Emotion: joy
Intensity score: | 0.481 |
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: @LethbridgeCity I love how playful you guys are becoming -- both on- and offline! π π π #beepbeep
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: $SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated.
Intensity score: | 0.750 |
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: @Daniel_Sankey @hayleyp79 Haha.... Actually, after the Doggies I'm barracking for Anyone But GWS! #bitter
This tweet contains emotions: | anger, 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: @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.
Emotion: anger
Intensity class: | 0: no 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: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
This tweet contains emotions: | anger, disgust |
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: There's a specific joyous 20 song title engiybhekayo, yasezayoni. Need it for le mood
Emotion: joy
Intensity score: | 0.560 |
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: You must be knowing #blithe means (adj.) Happy, cheerful.
Emotion: joy
Intensity score: | 0.583 |
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: @Cigna bows out for the moment. Rather than sulk, I'm going to @UCSF for an opinion from the guys studying #Oligodendroglioma. βοΈ& β€οΈ & π©'s
This tweet contains emotions: | joy |
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: Argh a big wasp buzzing between my blinds and my window. Halp! #wasp #evil #buzz #sting
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: I delete numbers so quick with no hesitation
This tweet contains emotions: | anticipation, disgust |
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: Don't be offended,\nI'm just doing something that,\nGives your life more hurts.\n\n#haikuchallenge #offend #poetry
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Another raging storm brought on by my own emotions sorry everyone. enjoy the thunder
Emotion: anger
Intensity score: | 0.667 |
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: @cherrivarisco @audubonsociety Oh yes, males are colourful and the Females are dull, so that they can blend in to their environment.
This tweet contains emotions: | 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: @TheSandraGal Glad to see that you're having fun in the sun. Water sports are always fun, challenging, and exhilarating. #happiness #beauty
This tweet contains emotions: | joy, love, optimism, trust |
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: @TheOnlySweeney their slogan should've been #start instead of #finish
Emotion: fear
Intensity score: | 0.250 |
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: @ProSyndicate thanks for replying, I'm ironing my shirtπ I'd love to meet you and get an autograph but sadly I'm too young to travel.
This tweet contains emotions: | joy, love, optimism, 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: @CNN : It's not Fox News, it's Fox Propaganda Network, they're so lost in their lies, that they can't tell the truth, if it hit them in face
Emotion: sadness
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: your outrage (your tweets, your jokes, your attention) is *exactly* what M*lo wants\n\n(this is not meant as a defense)
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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: @ThatBritishDude no okay you don't not need to be going out of your way to make sure you are pleasing everyone do what makes you happy
Intensity class: | 0: neutral or mixed emotional state 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: MY CAR IS DENTED FROM THE HAIL sad
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: @soozclifford Sure have... Sydney are too tough, too quick and their 'team' pressure is too much for the Cats to handle. Motlop/Cowan
Emotion: fear
Intensity score: | 0.356 |
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: Forgot to thank @_JusDee_ and @djolder for sharing @therealpeela's day-making #happy video.
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @todofuku dreadful day at work n now im gonna be late for class n im covered in paint, n now i have to work a night shift too :/
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #Trends thread;'P)..it was in my #drafts&now #posted 2 mins after my #birthday..so #close:'O!:''/...but anyway it #really was the #start of
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: if anyone spoils any of my fucking shows I will haunt you in the afterlife so help me god
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: We lost
Emotion: sadness
Intensity score: | 0.583 |
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: Check out this #film Robocoq 301 #shortfilms
Emotion: joy
Intensity score: | 0.212 |
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: @mypalalex but still your my favorite person in DF besides grim
Emotion: sadness
Intensity class: | 0: no 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: @megynkelly We should be ignoring these rioters like the current administration ignores #terrorism. This will obviously make it stop.
Emotion: fear
Intensity score: | 0.708 |
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: @markoheight @Cassie_OB we sound like vampires saying we wanna sink our teeth into the TT lads and their talents ππππππ
This tweet contains emotions: | joy, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @grumpy_pumper I involuntarily smile when you frown in photos. And giggle. How annoying!!
Emotion: anger
Intensity score: | 0.358 |
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: John and his 'magic box' #lost
Emotion: sadness
Intensity score: | 0.229 |
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: doing some testing with my current earth burst team
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @canada4trumpnow @donlemon he has BAD TEMPERAMENT #HissyFits
This tweet contains emotions: | anger, disgust, sadness |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: straight people are canoodling on the quad and I'm #offended
This tweet contains emotions: | anger, disgust, pessimism, sadness |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Zak_Atif two congressional hearings in USA stopped financial aid to Pak and asked it to prove that it is doing enough to stop terrorism 1n
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: British humour should offend and challenge mainstream views. Hat off to Clarkeson. The ultra left should go and kneel before Allah!!
Emotion: anger
Intensity score: | 0.479 |
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: Jimmy Carr makes me want to cry and cry *shiver*
This tweet contains emotions: | fear, sadness |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Think of #anger as this barrier between you and your truth.' @laurascoe
This tweet contains emotions: | anger |
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: #food #Π΄Π΅Π½ΡΠ³ΠΈ #smile microsoft_.net_framework_4.5.1_full_plus_by_gora
Emotion: joy
Intensity score: | 0.375 |
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: @LakersTakeover it ain't that serious. #HOUvsNE #igotbetterthingstodotonightthandie
This tweet contains emotions: | anger, disgust |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @debutemma I dont have to sit here and take this from u spry young children
Emotion: joy
Intensity score: | 0.146 |
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: @British_Airways #lost #bag #stillwaiting go home in2days. DM'd you my info and have rung 9times a day. What more can I do? #wheresmybag
Emotion: sadness
Intensity class: | 2: moderate amount of 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: These mets know how to give someone anxiety #mets #lgm #anxiety @mets
Emotion: fear
Intensity score: | 0.729 |
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: @siomo @NEWSTALK1010 20 says he gets reelected..... #be
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: Don't get #bitter get #BETTER
This tweet contains emotions: | anticipation, optimism |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: My #anxiety is rising tonight and I'm not sure why. Sometimes I wonder if I'm a magnet for any free-floating anxiety in the universe.
Emotion: fear
Intensity score: | 0.917 |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: You don't know what to expect by Brendon's video lmao LA devotee video got me shook #panic
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: Unmatched Party Specialist /co @T3RevNeverEnd #serious #job #titles
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @littlebakaa @AlcohoIPorn give me a smiling emoticon will ya? i dont like the idea of you frowning >.<
Emotion: sadness
Intensity score: | 0.417 |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I feel so blessed to work with the family that I nanny for β€οΈ nothing but love & appreciation, makes me smile.
Emotion: joy
Intensity class: | 3: high 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: @healeyraine I'm offended, I actually am
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive 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: @Ginger_Naylor *Connie came back in* Hey you seem a bit more lively
Intensity class: | 0: neutral or mixed 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: @RadioX @ChrisMoyles wow. not heard this in forever. Random but. great #xph
Emotion: anger
Intensity score: | 0.250 |
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: Time wounds all heels.\n\n#DrunkJesus #rt #lol #wisdom #quote #comedy #self #Revenge #grudge #hate #time #funny #politics #Trump #POTUS2016
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: @EurekaForbes U got to b kidding me. Anu from your firm responded when I sent the contact details. #terrible #customerexperience
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: how can you hold a grudge for over a year I can barely hold one for a few minutes
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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