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Holmeister
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AAID-clone

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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: #NewYork: Several #Baloch & Indian activists hold demonstrations outside @UN headquarters demanding Pak to stop exporting #terror into India Emotion: fear Intensity score:
0.590
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: meeting tiff at the mall soon, congrats on getting that L babes❣ Emotion: anger Intensity class:
0: no anger can be inferred
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive).
Tweet: @billie21806 @cnnbrk tell that to your bodies cheering on the deaths of black people by cops. their fear is killing us. Intensity score:
0.274
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: 2day's most used term is, #terrorism, with many addresses and forms. On my #opinion, the only form of terrorism in this world is, injustice! This tweet contains emotions:
fear, pessimism, sadness
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: will i ever get the nerve to quit the restaurant ??? find out tonite on glee! Intensity class:
0: neutral or mixed emotional state can be inferred
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_RockasThe U.S. has added years to the Syrian conflict by arming the 'rebel' army. You would think that Iraq had sunk in with Kerry. Emotion: sadness Intensity score:
0.417
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: #sober life Emotion: sadness Intensity class:
0: no sadness 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: Decide to stop being afraid. To just stop. What are you now free to do?\n\n #brave #free #honest #healthy #life #living #love This tweet contains emotions:
anticipation, 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: November #canola lost $5.50 to $464.20 per tonne. Emotion: sadness Intensity class:
1: low 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: @hoytschile fury road!! This tweet contains emotions:
anger, disgust
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: @metrotrains why is there no disabled access at pontefract monkhill? 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: Jimmy Carr makes me want to cry and cry *shiver* This tweet contains emotions:
fear, 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: Texans played horrible. Bad play calling, bad protection of the ball, bad coaching, bad defense, bad overall performance. #Texans #horrible Emotion: fear Intensity class:
0: no fear 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: Me: *sees incense burner* is this for drugs? This tweet contains emotions:
anger, anticipation, disgust
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: @SAHARTHERAPPER I unfollowed without hesitation <3 Emotion: fear Intensity score:
0.229
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 got his bitch depress This tweet contains emotions:
anger, disgust, sadness
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: @CBSThisMorning @newsgirl123456 again, profiling DOESN'T discourage (September 20, 2016; 18:41 EDT) #TRUMP #FAIL Emotion: fear Intensity score:
0.375
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Your twitter picture just makes me fume. This tweet contains emotions:
anger, disgust
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: @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. Intensity score:
0.250
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: chirp chirp! what a beautiful white and red bird! 🐦 Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
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: It's amazing how something gets stuck in your head, and you can't shake a memory... Sometimes, I miss people a lot. Wish they knew. Intensity class:
0: neutral or mixed emotional state 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: And with rich Fumes his sullen sences cheer'd. Intensity score:
0.471
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: What a horrible track lakeside is 😳😳😴😴 Emotion: fear Intensity class:
0: no fear 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: @HonestAndFrank but @BillCosby drugged and raped those women. At least you and Barb were sober and consenting!! This tweet contains emotions:
anger, disgust, pessimism
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: @moocowward @mrsajhargreaves @Melly77 @GaryBarlow if he can't come to my Mum'a 60th after 25k tweets then why should I 🙈 #bitter #soreloser Emotion: anger Intensity class:
2: moderate amount of 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: People need a way to escape,escape what?This corrupted world.This reality. This joke.This fury of constant pain & stress.We need a vacation Emotion: anger Intensity class:
2: moderate amount of anger 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: @Roger_Dagenham Aye. There's a brief window in both morning and afternoon otherwise just horrific until late evening. This tweet contains emotions:
anger, disgust, fear
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: Indignation: [whispers to date during that terrific Lerman/Letts centerpiece scene] That's his overwhelming sense of indignation. Emotion: anger Intensity score:
0.479
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: CommunitySleepCoach: Look at these #narcoleptic #puppies. Make you #smile. If you are human & find yourself in such odd positions, seek #th… This tweet contains emotions:
joy, love
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 can never find the exact #emoji that I'm after at the exact moment that I need it #panic This tweet contains emotions:
disgust, fear, pessimism, sadness
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: @space_gayz high fantasy , i feel like you could make a melancholy college age slice of life thing work too Intensity class:
-2: moderately negative emotional state can be inferred
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: talk about a mood pickup i went from depressed to elated so fast Intensity score:
0.517
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
Tweet: A good thing about being sick is that coughing is like an ab workout. Maybe my abs will be more defined by the time I'm better 😂😅 #optimism Intensity score:
0.550
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: The news is disheartening. Everything that is going on is a result of a lack of understanding and misinformation by the media. #sadness Emotion: sadness Intensity class:
3: high amount of sadness 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: @1BearTruth standard bitter response .... how's it feel to be the small club in a big city Emotion: anger Intensity score:
0.396
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: @kateemick what a nightmare Emotion: fear Intensity class:
1: low 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: I'm still laughing 'Bitch took my pillow' line #glee #kurt Emotion: joy Intensity score:
0.729
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: Be happy not because everything is good, but because you can see the good side of everything. Emotion: joy Intensity score:
0.604
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: Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory! Emotion: joy Intensity score:
0.625
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My friends tell me I'm pretty. Trigger tells my I'm ugly. I first was confused but then realised I'm both. Pretty ugly. #tru #tumblr Emotion: sadness Intensity class:
2: moderate amount of sadness 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: I love how cheery and adoring @JackHoward gets every time he produces new content. Intensity score:
0.806
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: #ArchangelSummit @sethgodin Anyone can be brave but you just have to last 5 mins longer than everyone else. #leadership #fear Emotion: fear Intensity score:
0.510
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: Had a great time at Skywalkers open gym tonight! Come our every Wednesday from 7-8 in Hillsboro and train with us! #opengym #tumbling This tweet contains emotions:
joy, love, 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: incetown, age 23, joyful, elevated in hope with the Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: @Darren_Hammer amen, nothing personal mate, just tired of all of the complaining from our fans, it's Been a relentless tirade of misery Emotion: anger Intensity score:
0.542
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: Americans as a whole are, for the most part, feeling borderline despair at the very least. Looking at a situation out of control. Emotion: sadness Intensity score:
0.688
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 patriots have the lamest color rush jerseys in the whole nfl #madden (I hope they wear them tonight) Emotion: anger Intensity class:
1: low amount of anger can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @ceIestialfoxx I don't even remember that part 😅 the movie wasn't terrible, it just wasn't very scary and I expected a better ending 🙄 This tweet contains emotions:
disgust, fear, joy
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: Be quick to #listen, slow to #speak, and slow to #anger. Emotion: anger Intensity score:
0.292
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: Who actually chooses to drink sparkling water 🤔 Emotion: joy Intensity score:
0.208
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: Buying an early entry tickets at @EGX means fuck all, expect a complaint email when I get home #shocking service Emotion: fear Intensity score:
0.458
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: @David_Stepp Any other election, fine vote 3rd party as useless as it is but not this one. I hesitate to say it'd be selfish but... Intensity score:
0.375
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: There is no dark side in the moon. In fact, it's all dark.'\nGerry O'Driscoll at the end of 'The Dark side of the Moon' Emotion: sadness Intensity score:
0.229
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: @bkero @whispersystems Which really sucks because typing on a mobile device is always horrible and I hate it. Emotion: fear Intensity class:
0: no fear can be inferred
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: The ppl on here defending cops as they continue to kill innocent ppl or ppl who aren't innocent but clearly cooperate irritate tf outta me Intensity class:
-2: moderately negative emotional state can be inferred
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder Emotion: anger Intensity class:
3: high 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: @ClaretNBlues forest gate u could see he was a bully cunt big bald cunt his mates looked in shock when I hit him and didn't do shit when he Emotion: fear Intensity score:
0.479
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: Everybody's worried about stopping #terrorism. Well, there's a really easy way: stop participating in it. - Noam Chomsky Emotion: fear Intensity score:
0.583
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: @HannahFJames I'm distraught! 😭 Candice and her pout can piss off This tweet contains emotions:
anger, disgust, 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: I got a NO RESPONSE again from an #irate customer of #amazon 😞😞\nwhy can't they understand that it's not always amazon fault..\n#carrierfault This tweet contains emotions:
anger, disgust, pessimism, sadness
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: @GucciShade @KellyannePolls @ABC So? Who cares? Who cares about tax forms, too. I believe terrorism and jobs are what is important. Emotion: fear Intensity class:
0: no 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: @Piggiewhopays lmao! I can only imagine the frown across that face of yours. #Hilarity This tweet contains emotions:
anticipation, joy, surprise, trust
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: Well look at the bright side. You found a use for that rope #TipsToSurviveAPowerOutage Emotion: joy Intensity score:
0.312
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: Clean the #sink and make your #bathroom shine. Emotion: sadness Intensity class:
0: no 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: Tutoring gives me such an exhilarating feeling. I love helping people 😌 This tweet contains emotions:
joy, love, 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: Don't let the behavior of others destroy ur inner peace.' -Dalai Lama @OWNTV #healing #depression #intuition #meditation #book Emotion: fear Intensity score:
0.220
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: @rsiereilly my heart did the flutter Emotion: fear Intensity score:
0.562
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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed This tweet contains emotions:
joy, optimism
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: Riggs dumb ass hell lolol #LethalWeapon Emotion: joy Intensity class:
0: no joy 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: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem Intensity score:
0.650
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: I'm a walking ball of stress and anxiety lol Emotion: fear Intensity class:
3: high amount of fear 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: Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil Remix)' is raging at ShoutDRIVE! Emotion: anger Intensity class:
2: moderate 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: @Amphabio don't kill it bees are dying at an alarming rate Emotion: fear Intensity score:
0.583
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 am worried that she felt safe. #unhappy Emotion: sadness Intensity score:
0.854
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: I wouldn't have #anger issues.....if she didn't have #lying issues.....think about that one. #pow #lies #confusion Emotion: anger Intensity score:
0.500
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: You don't know what to expect by Brendon's video lmao LA devotee video got me shook #panic Emotion: fear Intensity score:
0.540
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: @JoyAnnReid you're right choice I had to slam him he is one ignorant man and I really resent that statement Don King is an embarrassment 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: About 7 weeks till I can pick up my camera again. Though I think there is a group cemetery shoot in october I can make! #photography #horror This tweet contains emotions:
fear
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: Laudrup and his evil white companions rejoice. Intensity score:
0.617
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: 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: @Budget car rental you have made realize why I always use @nationalcares!!!! What a #nightmare!! #disgusted 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: Just caught up with @RichardEGrant's wonderful new series on #EalingComedies. Infectious delight in every interview and film clip. This tweet contains emotions:
joy
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: i've got a lot of tokens saved up and i wanna spam the event song but my eyes sting im so tired Emotion: anger Intensity score:
0.417
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @JasonBHampton it's Bowers. I went and drove it for a while this evening #horrible Emotion: fear Intensity score:
0.447
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's meant to be!! #happy #happy Emotion: joy Intensity score:
0.917
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: i got his bitch depress Emotion: sadness Intensity score:
0.542
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: When my 4yo is gone I blast gothcore music. She has #anxiety & I can't listen 2 it around her bcuz it's 'too spooky'. *sigh* #momlife This tweet contains emotions:
fear, sadness
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Lady gaga fucking followed i have been waiting for this day for ages it fucking happened im shaking thank you so much @ladygaga ❤️ This tweet contains emotions:
joy, love
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: There is nothing like being in the shower when the power goes out 😳 #creepy #panic Emotion: fear Intensity class:
3: high amount of 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: @JohnJHarwood @GWGMJ30 It's no secret: personal dislike of Trump & animosity has always been present..now magnified with bigotry/racism etc. Emotion: anger Intensity class:
3: high amount of anger 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: Lament a \nsaddened heart,\nso far & \nyet so near,\nthe years so\ntough & scarred,\nthis lonesome\nroad,\nstill feared! #depression \n\n#poetry #poem Emotion: sadness Intensity class:
3: high amount of 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: There is no dark side in the moon. In fact, it's all dark.'\nGerry O'Driscoll at the end of 'The Dark side of the Moon' Emotion: sadness Intensity class:
0: no sadness 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: Police: Atlanta rapper Shawty Lo killed in fiery car crash Emotion: anger Intensity score:
0.396
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: @LisaAsquithtobe @craig8710 @WayneHaselden @june65wigan everyone is against wigan because we are the biggest club #bitter Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: A good thing about being sick is that coughing is like an ab workout. Maybe my abs will be more defined by the time I'm better 😂😅 This tweet contains emotions:
joy, 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: @EliTheProphet_ @ChrisMellini this is an automatic L for me but ima keep trying fam #relentless #thewengerway Emotion: anger Intensity class:
0: no anger 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: 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: 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 #Bangladesh war, #US almost bombed us had #Russia not been there. What strategy for #China on #Pakistan? Time ripe to crush #terror camps Emotion: fear Intensity class:
3: high amount of fear can be inferred
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: Sir, my concern is not whether God is on our side; my greatest concern is to be on God's side, for God is always right.' - Abraham Lincoln Intensity class:
0: neutral or mixed emotional state 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: Add Donte Moncrief to my dismal situation #blessed. Emotion: sadness Intensity score:
0.561