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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: Today I reached 1000 subscribers on YT!! #happy, #goodday, #thankful Emotion: joy Intensity score:
0.849
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: @IreneEstry can't wait to see you Hun #cuddles #gossip #laughter This tweet contains emotions:
joy, love, 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: Bring on my interview at hospital tho 🙈🙈 #nervous Emotion: fear Intensity class:
2: moderate amount of fear can be inferred
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Tip 5: Don't worry about pleasing everyone. #TitanWisdom This tweet contains emotions:
optimism
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: @DatelineNBC this is a sight, sound & smell to behold in person--still gives me the creeps to think about. #shudder This tweet contains emotions:
disgust, fear
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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n#education #playful #learning Emotion: joy Intensity class:
1: low amount of joy 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: How's it possible to go from cheery earlier to the worst mood possible now🙄 This tweet contains emotions:
disgust, pessimism, sadness
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: Way towards be prominent if your exasperate is peaked?: TGMbNqUEe This tweet contains emotions:
anger, disgust
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: Haven't gotten one hour of sleep... Today is going to be a fun day 😐 #restless Emotion: fear Intensity score:
0.750
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: @simmy_hanley @Schrise also a #delight Emotion: joy Intensity score:
0.542
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: brennan cook and breezy should get back together😍😍😍 Intensity score:
0.661
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: I am often disturbed by what some people find appropriate or acceptable. It's not funny nor cute that adults find this stuff humorous. 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: Iniesta still the one player I idolize from Barca,a delight to watch I tell you Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I'm literally never home and my parents threaten to charge rent if I don't start cleaning the house everyday. OK. This tweet contains emotions:
fear
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: @courtneymee I'm 3 days sober don't wanna ruin it Intensity score:
0.433
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: @SAHARTHERAPPER I unfollowed without hesitation <3 Emotion: fear Intensity class:
0: no fear can be inferred
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: I found #marmite in Australia. `:) #happy Intensity class:
3: very positive emotional state 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: You're so thirsty for the chance to disagree w/ the left, that you don't even realize when something is an affront to your bigoted platform. Emotion: anger Intensity class:
2: moderate 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: @JoeFahezy I could of told you that one lmfao 😂 Then old niggas get wasted and start fucking around This tweet contains emotions:
anger, disgust, joy, trust
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: Good luck to all Fury-Haney players playing this weekend at the Future Stars showcase in Frisco, Tx. #KGB #G-town #fury This tweet contains emotions:
anger, disgust
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 mourn. ha..r / ambe was ruined. what was once an ongoing shitpost about Tony's crimes was hijacked by not so vaguely racist memers Emotion: sadness Intensity score:
0.667
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 need all your attention! If I don't I'll pout.. Emotion: sadness Intensity score:
0.417
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: @stephtikkanen oh so true, so true. Emotion: fear Intensity class:
0: no fear 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: @JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the-- This tweet contains emotions:
sadness
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: chirp chirp! what a beautiful white and red bird! 🐦 Emotion: joy Intensity score:
0.625
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting 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: is it bad that kurt is literally me..? #glee Intensity class:
-1: slightly negative emotional state 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: It's a gloomy ass day Emotion: sadness Intensity class:
3: high amount of sadness 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: Tiangong 1, China's first space laboratory, will come to a fiery end in late 2017. The average decommissioned satellite either burns ... Intensity class:
-1: slightly negative emotional state 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: Lol little things like that make me so angry x 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: @AshleyCWilson @MrDavidHobbs @IndyCaronNBCSN Glad the TV coverage was so successful because the attendance looked pretty dismal. This tweet contains emotions:
joy, sadness, surprise
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: Cuz even the bible talks about the son coming back with a fiery sword he got from his mother. They just called her a whore in revelations Intensity score:
0.483
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Feeling worthless as always Emotion: sadness Intensity score:
0.958
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: @simmy_hanley @Schrise also a Emotion: joy Intensity class:
0: no 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: @Jen_Lee @mostlymartha @edotwoods we just found thin mints in a freezer clean. i couldn't be more elated. This tweet contains emotions:
joy
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: @asda if I wanted GREEN POTATOES, a bottle with the tag still on, plus soaking wet items delivered - I'm winning today-sadly I didn't Emotion: fear Intensity score:
0.408
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: What did y'all do to your app @NFLfantasy It's horrible. #horrible. Worst except once ever This tweet contains emotions:
anger, disgust, 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: @Micky_A_Lawson Paddy McNair is our joint top scorer......yeah.....justlet that sink in haha Emotion: sadness Intensity score:
0.208
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: @StephaliciousD afternoon delight 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: @mdthib This is so lovely! Or I am frightened, not sure which! But, wow! 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: I hate not having the answers I need. #tomourssuck #prayinsnotcancer #angry This tweet contains emotions:
anger, disgust
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: testing Emotion: anger Intensity score:
0.250
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I blame the whole season on Natalie! The season would have been so different had she not turned her back on her alliance! #pissed This tweet contains emotions:
anger, disgust, sadness
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: Keep smiling :) Emotion: joy Intensity score:
0.654
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: @swagalini ive been through the denial and anger i am in pure acceptance Emotion: anger Intensity score:
0.491
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: Worry makes you look at the problem and God makes you look at the promise.  #problem #promise #faith #God #theanswer #spiritu... This tweet contains emotions:
joy, optimism
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: I've been loving you too long #OtisRedding #blues Intensity score:
0.633
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: “Do not fret if you are not cool! Humans who follow me, become instantly cool!” #Bot Emotion: anger Intensity score:
0.375
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: I stepped into the shower and my spidey senses tangled. I immediately looked up and saw a spider directly above my head. This tweet contains emotions:
fear
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: @EmmaHobbs1 I did that! 3 days later my order isn't even in the same postcode as me #fuming Emotion: anger Intensity score:
0.667
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: An @amityaffliction kind of drive home from work today #nightmare #dailyfeels Emotion: fear Intensity score:
0.792
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 need a bit of #GBBO to cheer me up after a terrible day! Intensity class:
-2: moderately negative 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: Got to be up in 4 hours to go back to work #cantsleep #excited #nervous Emotion: fear Intensity class:
2: moderate amount of fear 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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed #rejoice This tweet contains emotions:
joy, love, optimism
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: @HillaryClinton did you see the gleeful look on @realDonaldTrump 's face when criminal Don King used the 'n' word to denigrate Blacks? Emotion: joy Intensity class:
0: no joy 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: talk about a mood pickup i went from depressed to elated so fast This tweet contains emotions:
joy, optimism, surprise
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: @NancyErvin4 The most ghastly thing is the silence from the #AARP. Trump says he won't touch SS, but his tax plan belies that. Huge cuts. Emotion: fear Intensity score:
0.620
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: @Lowetide there is no room for jokes in hockey! This is a serious business where we made up teams to fill out the tournament! This tweet contains emotions:
optimism
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: God I give you all my pain mess and stress. Take my heavy load. #amen #stress #mess #pain #depression #sadness This tweet contains emotions:
optimism, sadness
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: Sorry to burst your bubble but it isn't that century anymore. Welcome to the 21st century. This tweet contains emotions:
anticipation, 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: I have another test tonight #nervous Emotion: fear Intensity score:
0.812
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: LOVE LOVE LOVE #fun #relaxationiskey This tweet contains emotions:
joy, love
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: Meghan is teaching the blues in keyboard fundamentals II and all these classical majors are like WTF?! Emotion: sadness Intensity score:
0.250
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: With that draw, the scum must be rubbing their hands with glee! Typical draw for the Woolwich lot!!! #jammygunnerscum Emotion: joy Intensity class:
0: no joy can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @russbully Ended up paying 75p for half a tube of smarties. Don't even get the pleasure of popping the plastic lid off either This tweet contains emotions:
anger, anticipation, disgust
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: @BBs_Coffee somebody needs tell staff at Reading cappuccino is supposed to have a thick layer of foam and coffee should be hot #awful again Emotion: fear Intensity score:
0.458
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: Police don't wanna be called pigs but they keep actin like em....honestly that's even an insult to pigs Emotion: anger Intensity score:
0.840
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: Just got back from seeing @GaryDelaney in Burslem. AMAZING!! Face still hurts from laughing so much Emotion: joy Intensity score:
0.920
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @AfroNewtzz also your car hahahah 'oh we've broken down lemme just rearrange the car quickly' Emotion: fear Intensity score:
0.375
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: Focusing primarily on the person you’re talking to rather than yourself and the impression you’re making lessens social anxiety. Emotion: fear Intensity score:
0.521
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: @asda if I wanted GREEN POTATOES, a bottle with the tag still on, plus soaking wet items delivered - I'm winning today-sadly I didn't This tweet contains emotions:
pessimism, sadness, surprise
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: I'm not use to getting up early asf this shit goin irritate me. 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: @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 class:
2: moderate amount of joy 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: @KatelynKolsrud thanks mucho kate💕 #sober Emotion: sadness Intensity class:
0: no sadness 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: @Batman_ofgotham Her golden brown hues met with those baby blues as her arms crossed over the breasts he had been gulking at. 'Let me guess- Emotion: sadness Intensity score:
0.208
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: Argh a big wasp buzzing between my blinds and my window. Halp! #wasp #evil #buzz Emotion: anger Intensity score:
0.542
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: @jamieyates That's what we strive for, Jamie! Please don't hesitate to reach out if you have any questions along the way. 🙂 This tweet contains emotions:
anticipation, joy, love, 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: LIFE TIP 101. I know unresolved #anger is likely to cause problems in several areas of my life. I must recognize it & properly deal with it. Emotion: anger Intensity class:
1: low amount of anger 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: crying because @msleamichele's snapchat is bringing on some serious #glee feels 😭❤ Emotion: joy Intensity score:
0.481
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: New madden kicking 🚮 Emotion: anger Intensity class:
1: low amount of anger can be inferred
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: These girls who are playful and childlike seem to have such lovely relationships. Can't imagine them having serious convos but it's cute 😍😍 Intensity score:
0.790
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: @Gielnorian @HedonismGaming cmode grimrail made me want to eat angry bees Emotion: anger Intensity score:
0.667
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: @scdesc Yup. And Val basically ignoring the recipe. I'm just done. I keep bursting into laughter x Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: On my way rejoicing, to the pulpit @ Park City Baptist Church, Surrey BC. for Midweek Service. This tweet contains emotions:
joy, optimism
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: tesco. why OH why cant my Visa electron be accepted on line , I am 55 , NOT 15 ?? This tweet contains emotions:
anger, disgust, pessimism, sadness
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: In serious need of a nap Emotion: sadness Intensity class:
0: no sadness 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: Jimmy Carr makes me want to cry and cry *shiver* Emotion: fear Intensity score:
0.792
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: @DarkLuneFantasy wallah my blood is boiling I need to take a nap ugh Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: @keyshamackie it's fucking dreadful for live footy matches This tweet contains emotions:
anger, disgust, fear
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: An @amityaffliction kind of drive home from work today #dailyfeels Emotion: fear Intensity class:
0: no 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: @AaronRodgers12 You will tell people not to panic. But let see when was the last year the best QB in the NFL got his team in the SB??? 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: @HunterDean_ [he gives a gleeful squeak and wraps around you] All mine! Emotion: joy Intensity class:
3: high amount of joy 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: Val downing a bottle of vodka there to stop her from shaking! #GBBO This tweet contains emotions:
joy
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: My anxiety is playing around HELP!!!!! Emotion: fear Intensity class:
2: moderate amount of fear 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: It's meant to be!! #happy #happy Emotion: joy Intensity class:
3: high amount of joy can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @yoshi_lucky Good morning.Let's start with a smile!\nLet's enjoy life in a cheerful way!\nDon't worry be happy! This tweet contains emotions:
joy, 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: @InLuvWithAGhost I'm frowning at you intensely until you watch plastic memories. Emotion: sadness Intensity class:
1: low amount of sadness can be inferred
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: @Cinestrong something a cyber bully would say This tweet contains emotions:
anger, disgust
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: Hate being sober so I popped two Intensity class:
-2: moderately negative emotional state 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: 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 #tantrums. Emotion: anger Intensity score:
0.542
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Each day is what you make of it! #goals #challenges #business #goals #optimism #happy #success #photographer #photography #ThursdayThoughts Emotion: joy Intensity score:
0.423