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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: Man city's kit is dreadful!
This tweet contains emotions: | anger, disgust, sadness |
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: An adviser to the #European #Unionβs top #court said #Hamas and the #Tamil #Tigers should be taken off the EUβs #terror list.#lka
Emotion: fear
Intensity class: | 0: no fear 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: what happened to breezy
Emotion: joy
Intensity score: | 0.360 |
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: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
This tweet contains emotions: | disgust, sadness |
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: brennan cook and breezy should get back togetherπππ
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: When you lose somebody close to your heart you lose yourself as well π
Emotion: sadness
Intensity score: | 0.708 |
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: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #sad #needsmoresleep
Emotion: fear
Intensity score: | 0.562 |
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: last nigt i dreamt \nthat somebody loved me\nno hope no harm\njust another false alarm
This tweet contains emotions: | joy |
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). | Tweet: crying because @msleamichele's snapchat is bringing on some serious #glee feels πβ€
Intensity score: | 0.317 |
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: @BeastFireTimdog Same with gaming. Sites leaned PS2 during its heyday, leaned 360 most of last gen. This gen started vitriolic mostly by...
Emotion: joy
Intensity score: | 0.207 |
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: @CUTEFUNNYANIMAL @luvcaps19 My sister's dog does this. I think it's because she knows it'll provoke a reaction
Emotion: anger
Intensity score: | 0.375 |
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: quentin i sait aps dire eastpak i dit aspak msk
This tweet contains emotions: | |
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: @brawl2099 See your primary care doctor. They can prescribe meds and refer you to a psychiatrist for eval. Don't mess with depression.
This tweet contains emotions: | fear, 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: Threat factors in respect to provocation bulb worm: BnQo
Emotion: anger
Intensity class: | 2: moderate 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: One of my favorite classic cars is the Plymouth fiery.
This tweet contains emotions: | joy, love |
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: Dad asked if I was too hungover to function today. Little does he know I stayed sober last night so i could get shit faced tonight π
Emotion: sadness
Intensity score: | 0.271 |
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: I'm just a fuming ball of anger today π
Emotion: anger
Intensity score: | 0.708 |
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: Well that was exhilarating. I didn't know you could have goosebumps for 2 hrs 5m straight.
Emotion: joy
Intensity class: | 2: moderate 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: @JonnyOwenFilm @ringsiderobbie1 can you remember that train Sunday after Froch v Kessler ? #nightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: But i'll be a pity. π
This tweet contains emotions: | disgust, pessimism, sadness |
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: Now I'm back at @wxpnfm and am elated to record @mannequinpussy fucking shit up in our studio this evening.
This tweet contains emotions: | anger, disgust, joy |
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: ya boy gets mad tired of pine trees
This tweet contains emotions: | anger, disgust, 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: @TheDappaMc also Β£2.50 for a chocolate Feast ice lolly.. proper shocking π©
Emotion: fear
Intensity score: | 0.438 |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: I wanna kill you and destroy you. I want you died and I want her back. #emo #scene #anger #fuck #die #hatered
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: We're all in D. T. (Discipleship training or detox) for something. #messy #fearful #cutoff #choosefreedom #CryOut16
This tweet contains emotions: | fear |
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: It's better to be wetter than it is to be dry' jesus christ Val don't be shy hen ππ #GBBO
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: @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? #boiling
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: The moment you bring her to meet your best friend and you're nervous af! π¬π #nervous #thefriendtest
This tweet contains emotions: | fear, pessimism |
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: #food #Π΄Π΅Π½ΡΠ³ΠΈ #smile microsoft_.net_framework_4.5.1_full_plus_by_gora
Emotion: joy
Intensity class: | 0: no joy 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: @ggreenwald @SusanSarandon We are blaming 5% of the fucking idiots who are putting the World in the middle of their tantrums. You are one.
This tweet contains emotions: | anger, disgust |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 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: @DayveeSutton BIG thank you for liking my little Pumpkin :) She's the smallest of my 4, but is very playful & wakes me up most mornings.
Intensity class: | 3: very positive emotional state 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: @AdamAaronovich Well, there's no need to sulk. You can always request a song, you know.
Emotion: sadness
Intensity class: | 1: low 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: @CCGaryRoberts community policing!!!! What's that?? #lost
Emotion: sadness
Intensity class: | 0: no 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: Hey @PapaJohnsUK I've been charged Β£40.24 on my credit card 4 an order which never arrived last Friday, any chance of a refund!!
Emotion: fear
Intensity score: | 0.354 |
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: @WestonKoury so leafy can roast the Pokemon go kid but not you what an outrage that just means that he is more relevant than y-I mean kisses
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: I am often disturbed by what some people find appropriate or acceptable. It's not funny nor cute that adults find this stuff humorous.
Emotion: sadness
Intensity score: | 0.604 |
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: @Cherie_Fitz it's being extremely playful
Intensity score: | 0.613 |
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: Check out @VovimPrgel - From Scotland #gamer #YouTuber #vlogger #designer #animator #artist. TY for following The Wake #horror #horrorfilm
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: Too many gloomy days
Emotion: sadness
Intensity score: | 0.792 |
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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome
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: Liam is too distant makes me mourn πͺ
This tweet contains emotions: | pessimism, sadness |
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: @CallofDuty how do u guys determine teams? Cause I'm 80% on shitty teams when I play and I'm fuckin over it #cod
Emotion: anger
Intensity score: | 0.729 |
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: @Masonicmoron i always hesitate to update. At least it's no the horrors iPhone users endure every few months π
π
This tweet contains emotions: | anticipation, disgust, fear |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | 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 score: | 0.483 |
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 just spent $40 on big little sis tomorrow and i am beyond happy about it #SAW #mums
Emotion: joy
Intensity score: | 0.854 |
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: jelly baby is my favourite insult
Emotion: anger
Intensity class: | 1: low amount of anger 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: @GrxjicTank WHY though! Why did u want to offend Americans?
Emotion: anger
Intensity score: | 0.625 |
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: In wake of fresh #terror threat and sounding of alert in #Mumbai, praying for safety & security of everybody in the city #Maharashtra #news
Emotion: fear
Intensity class: | 3: high amount of 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: I've returned from the dead with a desire to clean the apartment and eat something that isn't garbage. #managing #depression
This tweet contains emotions: | pessimism, sadness |
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: 3:45am and off to the hospital! Elouise's waters have gone! #panic #Labour #LittleSister #superexcited
Emotion: fear
Intensity score: | 0.688 |
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: Like he really just fucking asked me that.
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @julwhite chirp chirp! :)
Intensity score: | 0.548 |
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: @Bridget_Delia @originalaubs omg that's terrible
Emotion: fear
Intensity score: | 0.583 |
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: @tomsteinfort expected i thought #fear
This tweet contains emotions: | fear, pessimism, sadness |
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: @Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #shocking #appauling #dire #dismal #beyondajoke #useless
Emotion: sadness
Intensity class: | 2: moderate 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: Forgot to eat dinner and now I'm furious with everything and everyone
This tweet contains emotions: | anger, disgust, 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: @bryony_gordon Sat waiting for bus today enveloped in a strawberry scented damp and revolting cloud of vape. I moved away, disgusting, urghh
Emotion: fear
Intensity score: | 0.458 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @Toucherandrich there was a US diver named steele johnson. i'd like him barred from the olympics.
Emotion: anger
Intensity score: | 0.354 |
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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us ππ @__KirstyGA #raging #oldcunt
Emotion: anger
Intensity score: | 0.875 |
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: Unruly kids at 8am in the morning #nothanks ripping the flower beds up by the roots while their parents watch
Emotion: fear
Intensity class: | 0: no fear 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: my mom cut my phone off and I'm so furious π€
Emotion: anger
Intensity score: | 0.750 |
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: @jellzybean cheer up punkin'
This tweet contains emotions: | joy, optimism |
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: @1StevieKilner @KachelaMurray Don't be silly - she doesn't want to scare them off! π
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: @Owlman2011 @charitypricey @jon_newsome @PRAWNSANDOWl @smith_alister @MikeConnelly9 average 22000 for the massif... #shocking
Emotion: fear
Intensity score: | 0.521 |
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: Tonight's #DragRace #AllStars2 episode GAVE ME LIFE! Yaassss queens! #teamalaska #teamkatya #revenge #bwahaha
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: @B4caferacer I see things in the clouds that others can't see so I can #elate
Emotion: joy
Intensity score: | 0.625 |
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: @sreeniv51294598 hahaha dear d not worry discuss
Emotion: fear
Intensity score: | 0.396 |
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: 342:147 And waxen in their mirth, and neeze, and swear\nA merrier hour was never wasted there.--\n#AMNDBots
Emotion: joy
Intensity score: | 0.280 |
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: Circle K is dead to me. I hate your new slushie machine. #livid
This tweet contains emotions: | anger, disgust, fear |
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: @NHLexpertpicks @usahockey USA was embarrassing to watch. When was the last time you guys won a game..? #joke
Emotion: fear
Intensity score: | 0.167 |
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: Miami proficiency is like pleasing by what name miami beaches: pIkxb
Emotion: joy
Intensity score: | 0.340 |
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 want my highlight to be so bright that if I ever get lost and someone is looking for me in the dark, they'll find me.
Emotion: sadness
Intensity score: | 0.188 |
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: I wonder what would happen if I were to tell some people the truth #savage #uhoh #angry
Emotion: anger
Intensity score: | 0.583 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: @strictlysimilak something about English sparkling wine would be good. Or farmhouse cider. Or Italian cocktails. Thanks.
Intensity score: | 0.742 |
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 thought the nausea and headaches had passed but lol I feel awful today
Emotion: fear
Intensity score: | 0.729 |
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: Side chick's be trying to fuck u like your going to forget about your wife when your done.
Emotion: fear
Intensity score: | 0.354 |
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: Houston might lose a coach tomorrow or by midnight. #yikes ?
Emotion: anger
Intensity class: | 0: no 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: Holding a grudge on someone will stop your blessings from God ,learn to forgive & forget ππΎ
Emotion: anger
Intensity score: | 0.375 |
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: No sober weekend πππ
This tweet contains emotions: | 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: @ChowdharyMahima Appreciate ur 'half truth.' Don't let ur good judgement swayed in the realm of propaganda. State doesn't sponsor terrorism.
This tweet contains emotions: | anger, fear |
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: @ManUtd Rooney needs to come off! Absolutely dreadful! πππ class goal from @carras16 @carras16 showing why he should be in the team!!
Emotion: fear
Intensity score: | 0.479 |
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: We have all been there, and wished we didn't. 25 #hilarious #AutoCorrect Fails
Emotion: joy
Intensity class: | 0: no joy 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: Will give #sleepnumber another chance for customer service. Today's growl is 15+ minutes on hold. Overall bed + service = very unimpressive.
This tweet contains emotions: | anger, disgust |
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 hate when it's gloomy outside because it always gets me in a depressing mood
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Pro Tip: Go back to work when your kid reaches 20 mos old. Stay home any longer, and you'll be absolutely miserable with the .
Emotion: anger
Intensity class: | 1: low amount of 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: @sydneyswans #cheer #cheer the #red and #white we are now off to #grand final to #win the #fight. Thanks @JetstarAirways
This tweet contains emotions: | joy, love, optimism |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @FaithHill I remember it well #happy #afraid #Positive
Emotion: fear
Intensity score: | 0.167 |
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: @devrajasmine If you change the dark images both look different, but both look like they are in a forest.
This tweet contains emotions: | |
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: To all who follow me, whether we've ever talked or not hope you have a joyous life. Goodbye.
This tweet contains emotions: | joy, love, optimism |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @Callidissima @ahouseingotham wrath of khan is one of the best movies of all time
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: im 16 if you want to see my dick snap/kik me at hiya2247 π #kik #kikme #snapchat #snapme #horny #porn #naked #young
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Rt @yoelamite i need that one back, that whole cd was hard, the one with a #rage flew through, rhyme flow, n the 1 u speak on the dollar
Emotion: anger
Intensity score: | 0.333 |
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: @scottlocker220 Thank you for that, the notification came in the nick of time to cheer me up - have to re-tweet
This tweet contains emotions: | joy, love, optimism |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: This tweet is dedicated to my back pain, which I do not understand because I am youthful and spry. Full of life. Vivacious.
Emotion: joy
Intensity class: | 0: no 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: Give rise to eternal home aico things immolation: succeed in mother country exhilaration: AKt
This tweet contains emotions: | joy |
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: @lennyabrahamson May I send you a copy of #HeroTheGreyhound? Either e-book or real paper one! A boy and a greyhound #smiles #tears #laughter
Emotion: joy
Intensity score: | 0.667 |
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: After soul searching, I'd like to announce that I've chosen @chrissyteigen & @nicolerichie to be my adopted sisters due to their hilarity
Emotion: joy
Intensity score: | 0.600 |
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: When you're on a train as its pitch black outside and you have no idea where you are... #travel #whereami #lost #adventure
This tweet contains emotions: | fear, joy, optimism |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @JackCurryYES he's just lucky...bad pitchers...#WHATEVER...ElKracken is #legit #future #bright #gottawearshades #LetsGoYankees
This tweet contains emotions: | joy |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: @rheafraserx took them an awfy long time to spot their goal was disallowed βΊοΈ
Intensity score: | 0.323 |
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