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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 #Union’s top #court said #Hamas and the #Tamil #Tigers should be taken off the EU’s #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 together😍😍😍 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 πŸ’” 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 😭❀ 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 πŸ˜… 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 πŸ™ƒ 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. πŸ‘ 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 £2.50 for a chocolate Feast ice lolly.. proper shocking 😩 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 πŸ˜‚πŸ˜‚ #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! πŸ˜¬πŸ˜† #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 #дСньги #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 πŸ˜ͺ 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 πŸ˜…πŸ˜… 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 😭😭 @__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 πŸ€— 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! πŸ˜† 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 πŸ™πŸΎ 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 πŸ™‚πŸ™‚πŸ™‚ 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! πŸ™ˆπŸ™ˆπŸ™ˆ 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 😘 #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 ☺️ Intensity score:
0.323