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Holmeister
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AAID-clone

Dataset card Data Studio Files Community
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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: @Alanafergusson snap meee Emotion: anger Intensity score:
0.521
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: @TrueAggieFan oh so that's where Brian was! Where was my invite? #offended This tweet contains emotions:
anger, disgust
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @_JuliaSteiner : YES ! Right ? I mean I wish you hadn't been discouraged to see #MikeandMolly because so many parallels really - Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: Fun tidbit: You can fall asleep on someone while dancing. #blues #latenight 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: The sun literally burning my skin Emotion: anger Intensity class:
1: low 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: I don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes #outrage This tweet contains emotions:
anger, disgust
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: @Micky_A_Lawson Paddy McNair is our joint top scorer......yeah.....justlet that sink in haha 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: @VerizonSupport thanks for saying My wife and I were getting our iphones today and then losing both of them with no ETA #thanks #angry Emotion: anger Intensity class:
3: high 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: Awe produces gratitude, gratitude instills joy, & the harvest of joy is contentment.' \n\n–@PaulTripp #awe 😭😭😭 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: @XenoStateOfMind yes\n\nmake her smile and be happy\nshe deserves happiness Emotion: joy Intensity class:
3: high amount of joy can be inferred
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: 2 applications for my dbs and still waiting. Been over a year now. Going to loose my job 👍🏿 @GOVUK #thanks #unhappy #crb Intensity score:
0.242
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: Honestly fuming Intensity score:
0.304
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: @Rosie #Strongwomen terrify #weakmen - don't let the #bully wear you down. Loving your consistency and truth in rough times Hang in there ❤️ This tweet contains emotions:
love, optimism, trust
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: pray for my boy huff Emotion: anger Intensity class:
0: no anger can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Donnie trumpeter is a vapid and vacant vile viper slithering through the landscape and playing on the gears of the fearful and afraid. Emotion: fear Intensity class:
1: low amount of fear can be inferred
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: @PuseLepuru it's the irritation of not having found the corpse Emotion: anger Intensity score:
0.500
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: why do i have such a thing for dark curly hAIR Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: We're all in D. T. (Discipleship training or detox) for something. #messy #cutoff #choosefreedom #CryOut16 This tweet contains emotions:
anticipation
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: @veryeloise your gunna make me cry, I need a glee day Emotion: joy Intensity class:
0: no joy can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Thoroughly enjoying AHS tonight. #ahs #americanhorrorstory Emotion: fear Intensity class:
0: no fear can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @ScmCIafIin 'Don't you know how nervous I was to see you?' Emotion: fear Intensity class:
2: moderate amount of 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: @RobRiggle @joelmchale @NFLonFOX I still can't get jimmy garoppolo out of my head and it's been almost 3 weeks. Thanks a lot! #hilarious Emotion: joy Intensity score:
0.729
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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome 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: i will never watch greys anatomy ever ever ever ever ever again if Shonda Rimes takes away another OG character☹️☹️☹️☹️☹️☹️☹️☹️☹️☹️ This tweet contains emotions:
anger, disgust, sadness
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: Living with #depression doesn't mean you must be defeated by it\nevery day's a new day and yesterday doesn't decide what today looks like :-) Emotion: sadness Intensity class:
1: low amount of sadness 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: Recommended reading: Prisoners of Hate by Aaron Beck #anger 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: @MHChat sadness with resentment is the past, sadness with fear is the future. try to live in the now #MHchat Emotion: sadness Intensity score:
0.492
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: Welp, I'm off to get my #anxiety meds now. #Empire Emotion: fear Intensity score:
0.750
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @Berbaqueue @_indubioproreo shocking work ethic by our players, Rooney stifled by their laziness Emotion: fear Intensity score:
0.396
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: imagine if teppu got animated by madhouse tho >_< Emotion: joy Intensity class:
0: no joy can be inferred
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: It really is amazing the money they give to some of these QB's #nfl #texans #brock #terrible Emotion: fear Intensity score:
0.246
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: @nicky57672 Hi! We are working towards your highlighted concern and we will keep you posted on same. Regards, Himani Emotion: fear Intensity class:
0: no fear can be inferred
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @SowerAsh007 Great to hear. If there's one thing that makes you feel more like yourself, it;s some hearty chicken noodle soup, right? Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #scam Emotion: sadness Intensity score:
0.625
Task: 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: Watch this amazing live.ly broadcast by @its.finfin #lively #musically Emotion: joy Intensity class:
2: moderate amount of joy 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: @kjwinston11 2. the N-word. But I think all Afr-Am are entitled to it: we shouldn't take away from them the insult they have claimed back. This tweet contains emotions:
anger, disgust, 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: if you have been on depression too u shouldn't be judging him and exposing him to everyone, but helping him This tweet contains emotions:
disgust
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: @DKTaylorWriter I thought that was funny, too. But maybe not such a coincidence. Green must be the official color of optimism. Emotion: joy Intensity class:
1: low amount of joy 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: @u4uzoma Boss I see you as someone that is jovial and funny. Tho av not met u in person. This tweet contains emotions:
joy, optimism
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: It's meant to be!! Emotion: joy Intensity score:
0.583
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @tomlinmayniac starting my new challenge ! A glee poll every day ! 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: Finn singing 'Can't Fight This Feeling' in the shower and Will spying on him is one of the best scenes on any show. #glee Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Happy Birthday shorty. Stay fine stay breezy stay wavy @daviistuart 😘 Emotion: joy Intensity class:
2: moderate amount of 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: @cxmbeferre so you WOULDNT date me????? This tweet contains emotions:
anger, disgust, sadness
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: @Ms_HeartAttack holy shit it just a bee sting like fuck you're not dying Emotion: anger Intensity class:
2: moderate amount of anger 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: Lol little things like that make me so angry x Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
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: Having a blast playing games and hearing testimonies at Pastor Jeremy's house #fellowship #food #laughter #praise #gospel #coffey1617 Emotion: joy Intensity class:
3: high amount of joy can be inferred
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: Good morning! Welcome the new day into your life and your heart #mindfulness #zen Intensity score:
0.859
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: @jamiesonhelen @MarianKeyes all three of my agin's on the pout . This tweet contains emotions:
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: @gypsydragoness wrinkling up. 'Well now, looks here like your name starts with the letter G, eh?' The man smiled up and gave a hearty + This tweet contains emotions:
anticipation, joy, optimism
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: @mjmralph then it's poor packaging my Amazon and the fulfilled seller should be furious as much as you 😕 Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness #terrible Emotion: fear Intensity class:
0: no fear can be inferred
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #haikuchallenge #haiku\n\nThe crisp autumn air\nMy freedom purchased through death\nNo one will mourn me Emotion: sadness Intensity class:
3: high amount of sadness can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: These mets know how to give someone anxiety #mets #lgm #anxiety @mets Emotion: fear Intensity class:
2: moderate amount of fear can be inferred
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: i'm doing laundry and watching that 70's show with a bunch of strangers. #birthday #to #me Emotion: joy Intensity score:
0.420
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: Just #terrible from the cats there. Wow. #AFLCatsSwans Emotion: fear Intensity score:
0.458
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: It's a gloomy ass day Emotion: sadness Intensity class:
3: high amount of sadness can be inferred
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: @Dak2future decorations are up all over Jersey already #outrage Intensity score:
0.188
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Is it terrorism to intimidate a populace? What case held 'coercion by people in uniform is per se intimidation'? Emotion: fear Intensity score:
0.562
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: Trying to loveee somebody, just wanna love somebody right now, guess there's just no pleasing me Emotion: joy Intensity score:
0.354
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Avoiding hearty basset hound no time present-time american the brave: YDXef Emotion: joy Intensity score:
0.320
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: @xxmariab listen yh don't provoke me cos I'll make you cry Emotion: anger Intensity class:
2: moderate amount of 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: @HotpointUK 'customer service ' beyond appalling. Faulty dryer replacement breaks within wks no parts for 3 wks. Engineers no show. Emotion: anger Intensity score:
0.729
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: Last night my stomach was hurting and today I have a horrible headache. I can never win This tweet contains emotions:
fear, pessimism, sadness
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: @TDYLN sadly not :( Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: I'm so bored and fat and full and ridiculously overweight and rolls galore #terrible Emotion: fear Intensity score:
0.562
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: To insure good health: Eat lightly, breathe deeply, live moderately, cultivate cheerfulness, and maintain an interest in life. Emotion: joy Intensity score:
0.480
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: Living life so relentless Emotion: anger Intensity score:
0.417
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Insomniacs can't get sleep cuz they are too guilty about all the horrible shit they do. I'm a complete sociopath n sleep like a baby. Emotion: fear Intensity class:
0: no fear can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: Accept the #challenges so that you can feel the exhilaration of victory. This tweet contains emotions:
joy, optimism
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: @GreggDoyelStar I'm sure you'll have a heyday if they do Emotion: joy Intensity score:
0.420
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: The jovial laughter that Trump and his lackeys showed when Don King used the N word was a truly bizarre sight Intensity score:
0.306
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: @lindseylouwho_ be nice if the Texans could hold onto the ball to give fuller and Hopkins a chance!!! #awful #TNF This tweet contains emotions:
anger, anticipation, disgust, fear
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: Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #smrtruinslives Emotion: anger Intensity class:
3: high 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: and I'm up from a dream where I said something really retarded on twitter and it got like 10000 retweets Emotion: fear Intensity score:
0.491
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: @Elaminova sparkling water makes your life sparkly This tweet contains emotions:
joy, optimism
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: Might go on @RadioX tomorrow to hopefully win a new car. My current one stinks of gone off milk. #grim Emotion: sadness Intensity score:
0.458
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: @PearseDoherty @harrymcgee @IrishTimes That might sting for a bit lads but you'll get over it. #betterwithsinnfein Emotion: anger Intensity class:
1: low 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: every time a new Anthony Weiner revelation breaks, Bill Clinton says a prayer of thanks that texting/DMing didn't exist in his heyday. Emotion: joy Intensity score:
0.375
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: I get embarrassed at the slightest things and then I'll fret about it all day I hate it Emotion: sadness Intensity score:
0.742
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: @MoviesTVNetwork Wow, did you get a really good buy on a bunch of '70's movies? There were bad then and are worse now! This tweet contains emotions:
anger, disgust, 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: Lol Adam the Bull with his fake outrage... This tweet contains emotions:
anger, disgust, joy
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: Why is it when you nap during the day you are so comfortable but sleeping at night you'll never be as comfortable #nightmare This tweet contains emotions:
disgust, sadness
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: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad Intensity class:
0: neutral or mixed emotional state 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: So Mary Berry, Mel and Sue have gone with their principles, and @PaulHollywood has gone with the fame and fortune. #GBBO #depressing This tweet contains emotions:
fear, 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: #goksfillyourhouseforfree should be retitled fill your house with old trash repainted ... #junk #trash This tweet contains emotions:
anger, disgust
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: @ChrissyCostanza and have social anxiety. There is many awkward things wrong with me. 😄 Emotion: fear Intensity class:
2: moderate amount of fear 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: Got a #serious #hyper #predator #heckler situation over here This tweet contains emotions:
fear, pessimism, sadness
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: The bubble has officially burst. 98 boys to beat for the trophy and all the glory #wptmain #bye Emotion: anger Intensity class:
0: no anger can be inferred
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 don't think Luca understands how serious I am about Fall....he has no idea what's in store for him 😂😂 Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic. #hilarious This tweet contains emotions:
joy, surprise
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: For the first time in my madden career I just set up a farm account. Should make MOTM much easier Emotion: anger Intensity score:
0.271
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: If you have the ability to make someone happy or to make someone #smile, do it! The world needs more of that right about now. #CreateLove ☺️ Emotion: joy Intensity score:
0.660
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: @MagicAndFangs 'Just by getting lost! I don't want to see you in my eyes!' Hungary huffed and crossed her arms, looking away angrily. Emotion: anger Intensity score:
0.562
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: #TheWordOfGOD #taught, #preached #correctly will #ComfortTheAfflicted & #AfflictTheComfortable; it will #offend & #TellTheTruth #AboutSin! This tweet contains emotions:
joy, optimism
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 wish I could fast forward 3 months from now, I'll know then where I'm at with my girl, my classes, and basketball. Rn I have pure #anxiety Emotion: fear Intensity score:
0.771
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: Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better! #relentless Emotion: anger Intensity class:
0: no 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: I need some to help with my anger Emotion: anger Intensity score:
0.574
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: Don't let fear hold you back from being who you want to be. Use it's power to push you towards your goals. No more fear, just action. Emotion: fear Intensity score:
0.275
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: A night where depression is winning... #depression #fml #help Emotion: sadness Intensity score:
0.896