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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: Leon's cheerfulness is always a big help.
Intensity class: | 1: slightly positive emotional state 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: For what a beautiful day. #elated
This tweet contains emotions: | joy, love, optimism |
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: And the weather so breezy, man why can't life always be this easy
Emotion: joy
Intensity score: | 0.562 |
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 I cried in front of my guy last night. And it's just been a horrible week but it's only for a week
Emotion: fear
Intensity score: | 0.680 |
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: @Bookselenaxxx @Hustler @Bookselenaxxx @Hustler \n👅💦👅💦👅💦👅💦👅💦👅that hot pussy unappetizing that delight
This tweet contains emotions: | disgust, joy, optimism |
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: Alt-J - Hunger of the pine.
Emotion: sadness
Intensity score: | 0.235 |
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: *Sigh* #depression #saddness #afterellen #shitsucks
Emotion: sadness
Intensity class: | 3: high amount of 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: @TheNotoriousMMA looking like @MIckeyRourkeFP in his heyday
Emotion: joy
Intensity score: | 0.400 |
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: @nigeriaLNG @TonyAttah #lestweforget 3 yrs on, 2013 Graduate Trainee recruitment not concluded. #disappointed #weary however #wewait
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @MJPWGaming exactly not some flaming reject from fast and furious
Emotion: anger
Intensity class: | 1: low amount of 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: Finally watched #hungergamesmockingjay2 this morning, sadly I feel a little disappointed #toomuchhype
Emotion: sadness
Intensity score: | 0.509 |
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: Huge congrats to my friends at @VoidMovie on the #USAPREMIERE tomorrow! #film #thevoid #featurefilm #scaryshit
Emotion: fear
Intensity score: | 0.271 |
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: #goksfillyourhouseforfree should be retitled fill your house with old trash repainted ... #junk #trash
Emotion: fear
Intensity score: | 0.396 |
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: Hell hath no fury like a sound technician scorned'\n\nThat's the quote right
This tweet contains emotions: | anger, disgust |
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: Your lion's heart\nWill protect you under stormy skies\nAnd I will always be listening for your laughter and your tears
This tweet contains emotions: | joy, optimism, trust |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Why have I only just started watching glee this week I am now addicted 🙄 #GLEEK
This tweet contains emotions: | joy, love, 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: Boys Dm me pictures of your cocks! The best one will get uploaded! ☺️💦💦 #Cumtribute #dm #snapchat #snapme #nudes #dickpic #cocktribute
Emotion: anger
Intensity score: | 0.396 |
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: bad news fam, life is still hard and awful #depression #anxiety #atleastIhaveBuffy
Emotion: sadness
Intensity score: | 0.812 |
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: @GrimsToyShow @hunna_chunna you got hacked on your gaming channel grim by evil wood clowns yesterday September 20 and September 21 today
This tweet contains emotions: | anger, disgust |
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: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
This tweet contains emotions: | 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: @jwolfie_ why you gotta use the dark skin emoji #offended
Emotion: anger
Intensity score: | 0.525 |
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: I don't talk about politics because people nowadays get offended easily!
This tweet contains emotions: | anger, disgust, trust |
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: @BenLeubsdorf @DykstraDame @WSJ idiots are going to sink the economy with free money policies.
This tweet contains emotions: | anger, disgust, sadness |
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: @blessspalding awe isa love u hoe thanks
This tweet contains emotions: | joy, love, optimism |
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: We worship at Your feet\nWhere wrath and mercy meet\nAnd a guilty world is washed\nBy love's pure stream\n—Graham Kendrick
Emotion: anger
Intensity score: | 0.375 |
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: @nigglydz lydiaaaa, we were the only ones that were supposed to know that you make me nervous 😶
Emotion: fear
Intensity score: | 0.750 |
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: Not sorry for that burst of anti #Allo spam, fuck any messaging app launching in 2016, without encryption on by default.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @darcomafloy OMG IM CRYING HAHAHAHA ikaw talaga tagagising ko HAHA shet i set my alarm BUT I FORGOT TO TURN IT ON but im awake now so--
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I wonder what American city will be next to protest about police shootings. Who's next? Smh. #whenwillitstop #howmanymoretimes
This tweet contains emotions: | anger, disgust, fear, sadness |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @NHLexpertpicks @usahockey USA was embarrassing to watch. When was the last time you guys won a game..? #joke
Emotion: fear
Intensity class: | 0: no fear 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 used to think the fire detector going off at my old place when boiling water was bad but this one went off bc of DUST and wouldnt turn off
Emotion: anger
Intensity score: | 0.646 |
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: @footballmcd agreed. Memphis looks lively also
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @rohan_connolly i think your high-profile female colleague would be one in yhat category... #massexodus #bitter
Emotion: anger
Intensity class: | 1: low amount of anger 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: something incredibly terrible about my life is i'm 23 years old and still suffering through group projects..........
Emotion: fear
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: Seeing #RIPShawtyLo got me thinking bout other rappers then I thought about @LilTunechi dying, and burst into tears... Smh
Emotion: anger
Intensity class: | 1: low amount of 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: I'm absolutely in love with Laurie Hernandez, she's so adorable and is always so cheerful!
Emotion: joy
Intensity score: | 0.788 |
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: Just want to be a dad so i can play kick the baby with my little one #southpark #mellogang #edm #plur #dad #djlife #dj #producer
This tweet contains emotions: | anticipation, joy, optimism, trust |
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: it's so breezy out today, i can't go to back to school night with bare legs like i've had all day
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude 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: Forgiving means operating with God's spirit & God isn't unforgiving & doesn't hold a grudge. So who am I? Exactly.
Intensity class: | 0: neutral or mixed 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: only time I am ever cheering for you Johnny
Emotion: joy
Intensity score: | 0.340 |
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: @marthalyssa yep. LOL
Emotion: anger
Intensity class: | 1: low amount of anger 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: the Lord turn his face toward you and give you peace. Numbers 6:26 #truth #trust #promise #calm #justice #great #mighty #protected
Emotion: joy
Intensity score: | 0.354 |
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 saw someone discourage someone from following their dreams. Just because you want to live in mediocrity doesn't mean someone else should.
This tweet contains emotions: | anger, 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: A warm #smile is the universal language of kindness William Arthur Ward #love #kindness
Emotion: joy
Intensity score: | 0.654 |
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: Trial result #sadness
Emotion: sadness
Intensity class: | 3: high 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: @girlsreallyrule Both Trump + King are relentless self-promoters who don't give a rip about anyone else. A perfect match for both Donalds.
Emotion: anger
Intensity score: | 0.521 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @JogglingDroid @BrancoCarmine @Otto_English yeah, #UK was quite the
Emotion: fear
Intensity score: | 0.250 |
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: @JustinTrudeau opened doors to terrorism and he will pay for it. @CP24 @globalnewsto
This tweet contains emotions: | anger, disgust, fear |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Mou is too jovial and trying to impress those players too much. No player is bigger than manutd. SAF won't tolerate all this bs @ManUtd
Intensity score: | 0.417 |
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: @BouchetPetersen @libe @dom_albertini @DavidDoucet Imposuture intellectuelle ! #préjugés #intolérance #personnalitéAutoritaire
Emotion: fear
Intensity score: | 0.417 |
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: 🔥Anger is the acid that can do more harm to the vessel in which it is stored than to anything on which it is poured.🔥 #anger \n\n~Mark Twain
Emotion: anger
Intensity score: | 0.500 |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Incredible that Nawaz Sharif said Pakistan is victim of terrorism & talked abt development in Pak. Incredible how he controlled his laughter
Emotion: joy
Intensity class: | 0: no joy 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: promise of restoration to the nation of israel...'everywhere you look blessing '..barns/wine overflow.Everything beautiful #do_u_see
Emotion: joy
Intensity class: | 2: moderate 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: Even a pencil✏ never #stayed with me until it's #end ⚫ 😞
Emotion: sadness
Intensity score: | 0.667 |
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: Projection is perception. See it in someone else? You also at some level have that within you. #worry
This tweet contains emotions: | disgust, fear, pessimism |
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: I can not depict what I feel right now.. I feel jubilant yet anxious, or..dunno. It seems like now I'm having something worth wait everyday.
Intensity score: | 0.552 |
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: @crowder_rachel @LillieGregg she's famous now, begged a living of some mugs fame! Work shy freeloader. Deserves it all
This tweet contains emotions: | anticipation, joy, optimism, trust |
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: why won't you let me go? do i threaten all your plans? im insignificant
Emotion: fear
Intensity score: | 0.646 |
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: Another L on the board we just cannot match up on paper with these teams at the moment and its showing on the field. Onto Denver
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: .@POTUS Obama describes his temperament as 'steady & on the buoyant side.'
This tweet contains emotions: | joy, optimism |
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: @CapehartJ agree! Those latest polls #alarming
Emotion: fear
Intensity score: | 0.729 |
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: @AHSFX thanks Ryan & Brad for scary the shit out of us in the first episode. Don't think my heart will make it through the s6 #horrific
Emotion: fear
Intensity class: | 3: high amount of fear 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: @TheRachelFisher i've seen a bunch of that on another twitter feed and I remember you had an opinion on it
Emotion: fear
Intensity score: | 0.333 |
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: The book that can start improving your relationship tonight. Taking you on a journey of #fun, #laughter, #romance and #metaphysics. htt…
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: @andreamitchell said @berniesanders not only did not play up HRC in campaigning 4 her in OH but he did not discourage 3rd Party vote. TRUE??
Emotion: sadness
Intensity score: | 0.396 |
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 don't want speak front to him #afraid #intimidate #nopanicattack
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I'm wearing yellow today to bring a little sunshine to this gloomy day #yourewelcome
Emotion: sadness
Intensity class: | 0: no sadness 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: When will the weeks full of Mondays end?? #disheartened
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: I hate having ideas but being too afraid to share them 😔
Intensity score: | 0.138 |
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: #beyond naming & shaming ; lies a vast space b/w #sanctions & #terror state...v *wait til Others #impose it...& do not hv COURAGE #ourselves
This tweet contains emotions: | disgust, fear |
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: @howcaniapply @radioscarboro Much to my delight!
This tweet contains emotions: | joy, optimism |
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: There's this Bpharm4 guy Eish that guy brings anger into my life. When I see him nje like darkness fills me @RamatsobaneM will know
Emotion: anger
Intensity score: | 0.667 |
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: Is this the Krusty Krab?\n\nNo this is crippling depression
This tweet contains emotions: | sadness |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: They're both awful in their own ways, but just saying. The way he treated Aniston alone makes him a nightmare male narcissist to be avoided.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I don't think Luca understands how serious I am about Fall....he has no idea what's in store for him 😂😂
This tweet contains emotions: | joy |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: second day on the job and i already got a 45 dollar tip from a dude whose was constantly twitching his eye LOLOLOL
Emotion: joy
Intensity score: | 0.812 |
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: chirp chirp! what a beautiful white and red bird! 🐦
Emotion: joy
Intensity score: | 0.625 |
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: @MoonPendent13 One of my friends has a fear of mirrors because he tried to summon Bloody Mary, and he thinks she's going to pop up any time!
This tweet contains emotions: | fear, pessimism |
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: @Myahrissavietta I'm cheery now 😘😉
Emotion: joy
Intensity class: | 3: high amount of joy 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: UPLIFT: If you're still discouraged it means you're listening to the wrong voices & looking to the wrong source. Look to the LORD!
Emotion: fear
Intensity class: | 0: no 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: $SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated.
Intensity class: | 2: moderately positive emotional state can be inferred |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: I'm really hitting all flavors of my sparkling water rap. But you know what's tripping me out? These half French and Spanish flavors.
This tweet contains emotions: | joy, love |
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: jk. started this week strong and it's still going strong. #optimism
This tweet contains emotions: | joy, optimism |
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: It's so breezy I love it 🌬️🍃💛
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: Should of stayed in Dubai 😞
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: I shower to lay in bed for about an hour then dread wearing pants for the remainder of the day
This tweet contains emotions: | disgust, fear, joy, sadness |
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: Bloody parking ticket 😒💸
Emotion: anger
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'm excited for the #FirstDayofFall & the rest of the season. I have 2 #Halloween #scare events I'm covering for @ThrillzCo in the next week
Emotion: fear
Intensity score: | 0.188 |
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: I've said it before and I'll say it again: It's God! All God! Only God! #archippusawakening #entirelybyhisgrace
This tweet contains emotions: | joy, love, optimism, 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: What's the most important thing you need to accomplish today? #onlinemarketing #solopreneur #start up #success
Emotion: fear
Intensity score: | 0.271 |
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: Nothing else could possibly put a damper on my day other than doing X-rays on someone with kickinnnnn ass breath 😿
This tweet contains emotions: | anger, disgust |
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 saw those dreams dashed && divided like a million stars in the night sky that I wished on over && over again ~ sparkling && broken.
This tweet contains emotions: | sadness |
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: Wearing all black tomorrow as I continue to mourn the lives of the most recent victims of police brutality. #blackout #WU
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: I dread this drive every Wednesday 😩
Emotion: fear
Intensity score: | 0.792 |
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: @MatherFamilys @SDICenter @CAllstadt \n\ndo REDNECKS intellectually intimidate you and force you to be their dancing clown?
This tweet contains emotions: | anger, disgust, pessimism |
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: We fear not the truth, even if it be gloomy, but its counterfeit.- Berl Katznelson
Emotion: sadness
Intensity score: | 0.500 |
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: Mon Celtic, give us something to cheer - place is empty, soaked & its my wee nephew's Birthday ffs, started well, now dropped off.
Intensity class: | 0: neutral or mixed emotional state 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: @ESPNLosAngeles best segment so far by @marcelluswiley @Kdubblive hilarity
Emotion: joy
Intensity score: | 0.468 |
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: @lennyabrahamson May I send you a copy of #HeroTheGreyhound? Either e-book or real paper one! A boy and a greyhound #smiles #tears
Emotion: joy
Intensity score: | 0.304 |
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: Appropriate that first secretary at permanent mission is tasked with demolition of #terror state #Pakistan - Like 'renunciation of lies' bit
Emotion: fear
Intensity score: | 0.583 |
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