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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: A pessimist sees the difficulty in every opportunity, an optimist sees the opportunity in every difficulty' -Sir Winston Churchill-
Intensity class:
|
1: slightly positive emotional state can be inferred
|
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: •Days!'\nHe was itching for a fight..itching for the exhilaration of battle, of almost getting defeated, the adrenaline pumping•\n@RojinHitto
Intensity class:
|
1: slightly positive emotional state can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @Zen1dfabflake You are all our angelic comrades! #flutter
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: @cresbots dw I think cheeks are the most attractive thing in guys too it's terrible tbh
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: “What worries you masters you.” - Haddon Robinson @ChoGMinistries #Jesusisthesubject #worry #anxiety #anxious
Emotion: fear
Intensity score:
|
0.604
|
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: @mgcsartwork I nearly started crying and having a full on panic attack after tatinof bc of the crowds so I feel him
This tweet contains emotions:
|
fear, sadness
|
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: If you think you're good to go already, don't worry about it.
This tweet contains emotions:
|
fear, optimism, pessimism
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: Okay~ #deepbreathes ☺️ we can do this @sydneyswans 💪🏻🔴⚪️ #cheer #cheer & see you on the other side peeps ❤️ #AFLCatsSwans #ProudlySydney
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: why are people so angry toward veggie burgers at in n out wtf
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: @Berbaqueue @_indubioproreo shocking work ethic by our players, Rooney stifled by their laziness
This tweet contains emotions:
|
anger, disgust, surprise
|
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: @Bridget_Delia @originalaubs omg that's terrible
Emotion: fear
Intensity class:
|
1: low amount of 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: We express our deep concern about the suspension of @MohammedSomaa01 please reactivate it. he never violated T.roles @Support
Emotion: fear
Intensity score:
|
0.500
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @DailyMirror i love how theres no outrage that it's a white man but if it was a black man them BLM would be all over it regardless of reason
Emotion: anger
Intensity score:
|
0.726
|
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: I've been in such a bad mood this week, and work has been horrific, so I decided to start a scrapbook of my summer vacation
Emotion: fear
Intensity score:
|
0.560
|
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: @Geminiak @LondonNPC you're welcome! #wordgeek \nAlso, good to put a face to the twitter feed, even if it was only a cheery hello! 😀
This tweet contains emotions:
|
anticipation, joy, optimism
|
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: Really planned on making videos this week. Then. A tv died, phone broke, truck died, #depression took over. I'm wondering what I did 2 karma
Intensity class:
|
-3: very negative emotional state 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: @NikeSupport ok, thats it. After 2 weeks not being able to sign in, time to move on & find another app. I will strongly discourage NikeRun
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @typicalmoony Yes Lia!! Join the dark side!!
Intensity class:
|
0: neutral or mixed emotional state 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: @musicfae15 [He grumbled as he sat atop the sushi bar stool, crossing his arms defiantly, in a playful gesture, though he gave anyone who >
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: Yes Mourinho, you really should stop speaking about refs! And try cheering up a bit.
This tweet contains emotions:
|
anticipation, disgust, joy, optimism
|
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: @AliceGoodman17 i dunno, I'm getting less of the spacious lovely autumnal melancholy from our present apocalypse
This tweet contains emotions:
|
pessimism
|
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: @gothictana im a delight
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: Some vile piece of scum rejoicing in the fact that you have dead children is inhuman and to say it to me is worse still. I hope karma knocks
This tweet contains emotions:
|
anger, disgust, 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: Hate being sober so I popped two
Emotion: sadness
Intensity score:
|
0.653
|
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: @KatzeAnilothei this amount of greedy mooching makes me snarl.
Emotion: anger
Intensity score:
|
0.750
|
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: @CallofDuty how do u guys determine teams? Cause I'm 80% on shitty teams when I play and I'm fuckin over it #cod #rage
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Saga: When all of your devices and teles fail just in time for bake off #panic #gbbo
Emotion: fear
Intensity class:
|
3: high amount of fear can be inferred
|
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
|
Tweet: today has been terrible but tonight will end better because I get to see Malik ❤️
Emotion: fear
Intensity score:
|
0.333
|
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: @aradsliff don't know I'm from nj we are the worst on purpose.
This tweet contains emotions:
|
anger, disgust
|
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: All options are on the table - #revenge is coming.
Emotion: anger
Intensity score:
|
0.458
|
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: And here we go again 😓 #restless
Emotion: fear
Intensity score:
|
0.667
|
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: @MarkTOByrne I offered @WholeFoods @amazon @CheapAir gold or silver but they said Nah... #bitcoin
Intensity score:
|
0.383
|
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: Anyone else find @Microsoft 'anniversary windows 10 update 1607' a Complete
This tweet contains emotions:
|
anticipation, joy, optimism, trust
|
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: One of my favorite classic cars is the Plymouth fiery.
Emotion: anger
Intensity score:
|
0.292
|
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: We stayed up all night long\nMade our drinks too strong\nFeeling ten feet tall\nRopes swinging into the water\nIn the middle of the night
This tweet contains emotions:
|
joy
|
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: the outrage has passed and has been replaced by a mute, fatalistic acceptance of the current situation. #fatalism
Intensity class:
|
-2: moderately negative emotional state 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: Rooney shocking attempted cross
Emotion: fear
Intensity score:
|
0.375
|
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: Me and these burns that I pick up off the pitches don't get on at all like 😢😢
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
|
Tweet: I need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕 #tiff
Emotion: anger
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: #bcwinechat what's the most common method used to make BC #wine?
Emotion: joy
Intensity class:
|
0: no joy 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: Malins with another surging run forward almost sets McCreadie up at the far post. Decent game for the neutral, nervous for @Lewes_cfc fans
Emotion: fear
Intensity class:
|
1: low amount of fear can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: 339:709 A local habitation and a name.\nSuch tricks hath strong imagination,\nThat, if it would but apprehend some joy,\n#AMNDBots
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Emotion: sadness
Intensity class:
|
0: no 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: why won't you let me go? do i threaten all your plans? im insignificant
Emotion: fear
Intensity class:
|
1: low amount of fear can be inferred
|
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: Welp, I'm off to get my #anxiety meds now. #Empire
This tweet contains emotions:
|
fear, sadness
|
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: Been up since 4am. Too scared to go back to sleep #nightmare — feeling scared
This tweet contains emotions:
|
fear, pessimism, sadness
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Literally being here makes me depress tbh
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know. #rejoicing
This tweet contains emotions:
|
joy, love, optimism, trust
|
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: Do what makes you successful and #happy now and forever
Emotion: joy
Intensity score:
|
0.562
|
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: Ok scrubbed hands 5 times before trying to put them in.\nEyeballs #burning \n#EvenMoreBlind accidentally scared the #cat whilst #screeching
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @blackeyed_susie They ain't going away, and I don't want to see them hurt; changing hearts/minds is really our only option, no?
Emotion: joy
Intensity class:
|
0: no joy 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: I feel like no one is out there on #Twitter for me.... can anyone see what I write #sadness #rants
Emotion: sadness
Intensity score:
|
0.854
|
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: @TaylaStJames it happens and Vegas isn't the only origin thats prevelant #sadly
Emotion: sadness
Intensity class:
|
2: moderate 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: I think Paul is what's bitter, not the pastry
Emotion: anger
Intensity class:
|
2: moderate 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: #quote What U #fear controls U. Fear is not out in life but in ur mind. Real difficulties can be overcome - Cheryl Janecky
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
|
Tweet: A @FirstBSA not turning up? Why am I not surprised. Late for work again! #fuming
Emotion: anger
Intensity score:
|
0.688
|
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: Librarians scare me
This tweet contains emotions:
|
disgust, fear
|
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: Just seeing Alex revells face gets me angry
Emotion: anger
Intensity class:
|
2: moderate amount of anger 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: All i want to do is to be successful, be cheerful and to be happy with @DominicHussein
Emotion: joy
Intensity class:
|
1: low amount of joy 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: @BrightPigSEO @BrightPigSEO we provide dignified and professional funerals at prices families can afford #satisfied clients #bright pig
Emotion: joy
Intensity score:
|
0.345
|
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: @LidlUK Just bought a pack of two medallion beef steaks. Got home. Cooked them. One steak is 100% pork. I had one unhappy mother. 🐮🐷
Emotion: sadness
Intensity class:
|
0: no sadness 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: @DJ_JeanFranko growl!!!
This tweet contains emotions:
|
anger, disgust
|
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: I saw those dreams dashed && divided like a million stars in the night sky that I wished on over && over again ~ sparkling && broken.
Emotion: sadness
Intensity class:
|
2: moderate 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: So happy my next class is canceled bc..im od tired 😭
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: @nytopinion The point of voting for Trump to push all the pieces off the board game like an angry toddler? Wreck everything for everybody?
Emotion: anger
Intensity score:
|
0.562
|
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: Go follow me on Musically @budderlordk1ng I am making a lively. Come and join BFFing and Following ;) See you there!
Emotion: joy
Intensity score:
|
0.620
|
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: @AdoreDelano ill be there... with VIP TICKETS! Can't wait to meet you. Never met a famous person i admire before! #nervous
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @DrSRSheikh: And who asked you to gate crash with your dumb idiosyncrasies when sober people are analyzing a situation!\n@BanoBee @AK_Forty7
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: @debutemma I dont have to sit here and take this from u spry young children
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: Completely blown away by @EvaNoblezada @alistairbrammer @JonJonBriones and the cast of @MissSaigonUK tonight. #fathomevents #speechless
Intensity class:
|
1: slightly positive emotional state can be inferred
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: @BigBossPeltonen \nLikewise #death #cutting #despair
Emotion: fear
Intensity score:
|
0.833
|
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: @TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho #shocking
Emotion: fear
Intensity score:
|
0.535
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: @bldmovs sadly beautiful photo.
Intensity score:
|
0.362
|
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: @washingtondc @NMAAHC That is Noah Ark, it's a terrific design.
Emotion: fear
Intensity score:
|
0.250
|
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: A joyous first webiversary/web mitzvah to Smithsonian's @WeiPoints!! @brianwolly @jackie_mansky @bethpylieberman @bilbo @mazeltov
Emotion: joy
Intensity score:
|
0.667
|
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: Recently changed to @firstdirect and its the worst service I've ever encountered nearly require DNA to access anything. #awful 😩😩😩
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: I've never seen fast & furious Tokyo drift. Boutta watch it
This tweet contains emotions:
|
anticipation, joy
|
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: I'm so over having anxiety
Emotion: fear
Intensity class:
|
3: high amount of fear can be inferred
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Because you offended by the lies of Alexandria Goddard doesn't mean that I'm Deric's friend or anything else. Purely a fishin expedition.
Emotion: anger
Intensity class:
|
1: low amount of anger 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: @SueWallace78 peanut butter???? You some kinda pervert??
Intensity score:
|
0.379
|
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: As if he heard my thought on the ether, my #ex has just posted #facebook pic of himself snuggling up with said #cats... now Im just
This tweet contains emotions:
|
anger, disgust
|
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: If someone keeps #laughing at you, don't #fret . At least u r giving #happiness .'\n#quotes #quotestoliveby
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: Thiza!!! What happens now when you tell him you're pregnant via home test & nurse later tells you it's a false alarm & BaE is too excited🙊
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: i cant live anymore my roblox got termianted :(((((((((((((((((((((((( #sad #killme #lol #robloxgamer
Intensity class:
|
-3: very negative emotional state can be inferred
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO
Intensity score:
|
0.703
|
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: #AskAMan but this does not sound like a #serious issue, cause siyahleka the whole time, just having fun
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @ATTCares why do I have 2 wait 48 hours to call YOU back to cancel an order I JUST placed after already spending 2 hours on the phone?!
Emotion: sadness
Intensity class:
|
1: low amount of sadness 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: Got paid to vacuum up rat poop. (-: never a dull day in the biology department ...
Emotion: sadness
Intensity score:
|
0.521
|
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: Go one extra mile just see her smiling
Intensity score:
|
0.634
|
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: @lilpeachbbyy dude dead ass she said if she came she'd start shit with Amy & literally Amy didn't do anything but cal her out on her BS
Emotion: fear
Intensity class:
|
0: no 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: @MoviesTVNetwork Wow, did you get a really good buy on a bunch of '70's movies? There were bad then and are worse now! #awful
This tweet contains emotions:
|
disgust, sadness
|
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: @Mets @JdeGrom19 I'm depress now
Emotion: sadness
Intensity score:
|
0.708
|
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: so I picked up my phone!!!' #shocking 😳
This tweet contains emotions:
|
disgust, sadness, surprise
|
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: All the young people are so bitter about how the older contestants probably know how to make Bakewell Tarts 😂 #GBBO
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Howling with laughter at “WELL DONE BEZZA!” #bakeoff #GBBO
Emotion: joy
Intensity class:
|
3: high amount of joy 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: #Scorpio's can withdraw to a quiet place after being hurt, only to think of a plan to sting back.
Emotion: anger
Intensity score:
|
0.583
|
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: @hannah_2401 hannah stop being mournful and chill 💁
Emotion: sadness
Intensity score:
|
0.188
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!! #optimism
Emotion: joy
Intensity class:
|
0: no 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: @LeePorter94 @DomMcGovern_ hi Dom I saw u at Notts county away, looking for 1 mufc away ticket will pay #blues
Emotion: sadness
Intensity class:
|
1: low amount of sadness can be inferred
|
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
|
Tweet: Gotta wonder why Caller Max listens to the show in the first place if you so incense him @MSignorile
Emotion: anger
Intensity score:
|
0.375
|
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