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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: The rage has died down.
Emotion: anger
Intensity class: | 1: low amount of 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: I am about to be a coward and I feel terrible. But I can't even face this 😭
This tweet contains emotions: | disgust, fear, sadness |
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: @BoudicaRides @realkingrobbo Isn't that exactly what they should do? What took so long? He is more #afraid of #ClintonMafia than #Congress
Emotion: fear
Intensity score: | 0.479 |
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: @GoPro your UX online is appalling! No clear save button, not being able to use any generic TLD's #unhappy
Intensity score: | 0.156 |
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: @patienceinbee @camposanto But I decided to be a bit lackadaisical about getting dressed to get groceries.
Emotion: sadness
Intensity class: | 0: no 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: Watch this amazing live.ly broadcast by @thebrandonrobert #musically
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: #ahs6 every 5 minutes I've been saying 'nope nope I'd be gone by now.' 'MOVE' or 'GTFO' so thank you for the
Intensity score: | 0.431 |
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: People irritate me 🙄
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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: @stoozyboy1 @chris_sutton73 😂😂 Oh the zombie rage 😂
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: i fix a clever ritual to make you feel frolicsome
This tweet contains emotions: | anticipation, joy, optimism, surprise |
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: @interception225 you're looking for an argument that i'm not engaging in. He's not even speaking his own words, i'm not raging at him.
Emotion: anger
Intensity score: | 0.458 |
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: I just want to say: social media isn’t here to #bully that has to be #stopbullying ! Please be kind to eaxh other! #lovewins
Emotion: fear
Intensity class: | 0: no fear 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: Am I watching #BacheloretteAU or Zoolander ? #hilarious #samvrhys
Emotion: joy
Intensity score: | 0.646 |
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: @TzumiXIV huff puff
Emotion: anger
Intensity class: | 2: moderate 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: @naynay_whores im pretty sure cause ever since saturday ive just been super sad lol
Emotion: sadness
Intensity score: | 0.604 |
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: HUGE CONGRATULATIONS TO NICOLE WINNING BIG BROTHER 18! @BBNicole #BB18 sorry not sorry #bitter #bbmichelle
Emotion: anger
Intensity score: | 0.271 |
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: Swear I got the most playful ass bf ever 😂🙄
This tweet contains emotions: | joy, love |
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: Kik to trade, have fun or a conversation (kik: youraffair) #kik #kikme #messageme #textme #pics #trade #tradepics #dm #bored
Emotion: anger
Intensity class: | 0: no anger 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: im thoroughly in love w zen and jumin and i dont think id even have the patience for either of them irl im old and weary
Emotion: sadness
Intensity score: | 0.458 |
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: @menglishmusic Thank you for the most fantastic evening, it was a brilliant show, you are a truly #sparkling talent, night over too quickly.
This tweet contains emotions: | joy, love |
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: @bismahmalik .....Seems like a fight ready to rage on.....
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Man Southampton will wipe the floor with west ham on Sunday. So disheartened
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: @JoaquinPutoAmo vas a ir al de the amaity affliction?
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: Hoping to hear some serious @DonnieTrumpet tonight
Emotion: sadness
Intensity score: | 0.312 |
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: SO many great pics from the show in Tokyo😍 I like all his outfits now except the lace one w those horrible pants....💁
Emotion: fear
Intensity score: | 0.292 |
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: My study skills are terrible 😒
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: Good morning, Trondheim! #optimism #productivity ⛅️❤️🇳🇴🏢💻🖥🏋🏻💪🏼📺🍿
This tweet contains emotions: | joy, optimism |
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: @NebulaJoker No, they aren't. Episodes are animated during the week before they air.
Emotion: joy
Intensity class: | 0: no joy 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: The best part of this day, Jesus, is to snuggle up in your embrace...to rest in your arms and know you love me...💙❤ #sweetEmbrace #delight
This tweet contains emotions: | joy, love, optimism |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Trial result #sadness
Emotion: sadness
Intensity score: | 0.729 |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @EAMaddenNFL @EASPORTS I played a game where John Elway was sacked 3x and fumbled all 3x. Is this the same John elway I know of??? #madden
This tweet contains emotions: | anger, disgust, 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: @yoursecretsub1 Trust me dear, if you want to make anything invisible, hang a wet paint on it, and hilarity will ensue.
This tweet contains emotions: | joy, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Im really constipated. This is depressing
Emotion: sadness
Intensity score: | 0.812 |
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: @jndtech horrible.
Emotion: fear
Intensity class: | 1: low amount of fear 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: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!!
Intensity class: | 0: neutral or mixed 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: @Will_0004 No justification for shooting without provocation, even if the person has a bad history. Justification is not the way to go
This tweet contains emotions: | anger, disgust, 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: I just want to be in Canada rn 😭 awe
This tweet contains emotions: | pessimism, sadness |
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: @_BlueCouture The hilarity of you people not realising that racism is racism regardless of whether one uses choice words is hilarious.
Emotion: joy
Intensity class: | 0: no joy 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: #TerribleDebateQuestions Madame Secretary, isn't it true that Russia is behind all terrorism?
Emotion: fear
Intensity score: | 0.479 |
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: @Burnt_Out_Darth @theaterofscifi thanks.
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: Watch this amazing live.ly broadcast by @evanhufferd #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @edquinn63 how can you even forget to pick ur fave child up from school #offended
Emotion: anger
Intensity class: | 3: high 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: No offense but to the ppl out there using creams to build your glutes...COME ON. Go squat and what not.
This tweet contains emotions: | anger, disgust |
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: promise of restoration to the nation of israel...'everywhere you look blessing '..barns/wine overflow.Everything beautiful #do_u_see
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: @groovydadad @MHChat 🙂ty I often conflate the two depression + sadness, but they are very different. This q reminded me of that #mhchat
This tweet contains emotions: | sadness |
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: People who go the speed limit irritate me
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: Last night my stomach was hurting and today I have a horrible headache. I can never win
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: @xOffWithMyHeadx They've officially said all the episodes left (so future 12 and despair 11 and 12) will be delayed.
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @williamcontrol just preordered The Pale EP... Would have paid for the phone call... But I would have freaked out and not said anything #shy
This tweet contains emotions: | anger, disgust, fear, pessimism |
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: @m_t_f_72 I'm not surprised, I would be fuming! 😤
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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know. #rejoicing
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @ByeKandace can't cheer for a jigaboo
This tweet contains emotions: | 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: Seeing double am so tired but I always grudge getting off my phone at night 🙄
Emotion: anger
Intensity class: | 2: moderate 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: @easyJet Hi folks. Flight is going to be over an hour late departing from INV (EZY864), how do we go about getting a refund please?
This tweet contains emotions: | anger |
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: everyone hates twice, and i kinda did too but they got bops i'm bumping rn to cheer up
Emotion: joy
Intensity score: | 0.241 |
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 lost my wallet lol.... again....
This tweet contains emotions: | anger, disgust, pessimism, sadness |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome
Emotion: anger
Intensity score: | 0.688 |
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: Watch this amazing live.ly broadcast by @its.finfin #lively #musically
This tweet contains emotions: | joy |
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: Leon's cheerfulness is always a big help.
This tweet contains emotions: | joy, love, optimism, trust |
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: @kitanoye Hell is hot and boiling, isi ewu
This tweet contains emotions: | anger, 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: I'm afraid she's the goat you libeling people? #afraid #goat #libeling
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Tend the sick, Lord Christ; give rest to the weary, bless the dying, soothe the suffering, pity the afflicted, shield the joyous;
This tweet contains emotions: | joy, optimism |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: It hasn't sunk in that I'm meeting the twins
Intensity score: | 0.452 |
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: (Sam) Brown's Law: Never offend people with style when you can fake that, you have to break us in this Island.
Emotion: anger
Intensity class: | 0: no 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: I'm so restless
Intensity class: | -3: very 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: I don't think it's fully sunk in that Val is gone yet
Emotion: sadness
Intensity class: | 2: moderate amount of 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: “We can easily #forgive a #child who is #afraid of the #dark; the real #tragedy of #life is when #men are #afraid of the #light.”–Plato
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: Absolutely hate the Apple Watch iOS 10 update. Completely buggered some of my apps, including Spark. Awful interface, too. #grim
This tweet contains emotions: | anger, disgust, sadness |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @ryleycathryn @Mack_Shepp did you discover the alarming rate at which bees are dying and how important they are to our way of life?
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Bout ta get my @dontbreathe on up in here! @WarrenTheaters #icantholdmybreaththatlong
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Malkarii_ Korgoth of Barbaria for brutality, King Julian for hilarity, and Ariel... Because hot...
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I envy the relentless, your cheerful smile aimed at the pouring rain, your positive attitude is an art you have continually mastered.
Emotion: joy
Intensity score: | 0.519 |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch. #anxiety
This tweet contains emotions: | fear |
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: 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: 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: @KhaleesiofFood @BB_Updates she has stayed off the block almost all season, got out people that were good for her game, but no one seemed
Emotion: sadness
Intensity class: | 0: no sadness 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: Lady gaga fucking followed i have been waiting for this day for ages it fucking happened im shaking thank you so much @ladygaga ❤️
Emotion: fear
Intensity class: | 0: no 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: @reillygolfpro @RealKidPoker @StacyAcey @WSOPTD no he didn't! They are obviously friends and that clouded his judgement
Emotion: sadness
Intensity class: | 1: low amount of 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: So she goes first. She gets her book signed & I can barely take their picture cuz I'm shaking 😭😭😭😭😭
This tweet contains emotions: | fear, joy, sadness |
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: @ayeshashafique5 we are not concerned about Pakistan's internal affairs. But the terrorism as it's state & economic policy.#terroristnation
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: the world drives whoever it has assessed as tenderhearted or vulnerable to build up their guards & invigorate raging self defense mechanisms
This tweet contains emotions: | anger, anticipation |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I can already tell this programme is going to infuriate me #ExtremeWorld
Emotion: anger
Intensity class: | 3: high amount of anger 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: I dislike people who get offended by the littlest shit .
This tweet contains emotions: | anger, disgust |
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: Do not grow weary of doing good' a lasting legacy @billclinton @ClintonGlobal #CGI2016 #thankfulmoment @ProjectThankful
Emotion: sadness
Intensity score: | 0.343 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Dehydrated, exhausted, stressed but still blessed.
Emotion: joy
Intensity score: | 0.337 |
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: @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???
This tweet contains emotions: | anticipation |
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: @6itmap I can't help but feel melancholic!
This tweet contains emotions: | joy, pessimism, sadness |
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: @LacesUntied_ yea lol catchy you fret
This tweet contains emotions: | anger, joy |
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: im what a 90s tv bully would call 'a nerd' but i would rather shove one thousand nickels into my right earhole than go to new york comic con
This tweet contains emotions: | anger, disgust |
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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18
This tweet contains emotions: | fear, love, optimism |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Anyway I'm in a car with a furious white men and I have a really funny story to tell when I'm sober 😂
This tweet contains emotions: | joy |
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: He totally knew about it'. Trump finally gets revenge for his son-in-law's prosecution/imprisonment and throws Christie under the bus.
Emotion: anger
Intensity score: | 0.458 |
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: If children live with #ridicule, they learn to feel
Emotion: fear
Intensity score: | 0.542 |
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: @NateBLoL no it was that clear American naturally flavored sparkling water
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: Clean the #sink and make your #bathroom shine.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: #FF @ManihaAamir @adrence Keep on #smiling … !
Emotion: joy
Intensity score: | 0.479 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: ...at your age, the heyday in the blood is tame...' @TheArtofCharm #shakespeareaninsults #hamlet #elizabethan #williamshakespeare
Emotion: joy
Intensity score: | 0.260 |
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: wanna go home and focus up on this game . Don't wanna rage at all
Emotion: anger
Intensity score: | 0.375 |
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: Forgiving means operating with God's spirit & God isn't unforgiving & doesn't hold a grudge. So who am I? Exactly.
Emotion: anger
Intensity class: | 0: no 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: —but he just can't. He feels tired but also restless. So here he now, scrolling his own music player, playing some music through his—
This tweet contains emotions: | disgust, pessimism, sadness |
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