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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: Staff on @ryainair FR1005. Asked for info and told to look online. You get what you pay for. #Ryanair @STN_Airport #Compensation
This tweet contains emotions: | anger, disgust |
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: Lunatic Asylum: The place where optimism most flourishes.
This tweet contains emotions: | 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: I hate freaking out and ruining things.
Emotion: fear
Intensity score: | 0.720 |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @breadf2man @SunApology and it's Kelvin Mackenzie tomorrow... #shudder DontBuyTheSun
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: @01Starblazer 9 -9 vs Atlanta this yr, 2 - 11 vs Rockies and DBacks this yr. That's a combined 11 - 20 vs 3 atrocious teams in NL #awful
Emotion: fear
Intensity score: | 0.354 |
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: @kymwhitley hello Miss Lady I'm sure today brings you happiness and laughter use your voice also to make us laugh god knows we need it
Emotion: joy
Intensity score: | 0.562 |
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: @sydneyswans #cheer #cheer the #red and #white we are now off to #grand final to #win the #fight. Thanks @JetstarAirways
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @RogueCoder250 We are in so much trouble!! I don't think the Rev will see the funny side of our project. #nervous
This tweet contains emotions: | fear |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @OddNMacabre One day I'm drinking a bottle of nyquil, the other I'm sleeping zero. My lovely #horror fam, which should i watch? 🎩
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: @Burnt_Out_Darth @theaterofscifi thanks.
This tweet contains emotions: | joy |
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: @m_warner21 Yikes. The wrath of Maddie...
Emotion: anger
Intensity score: | 0.521 |
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: @CBCNews Canada should be a driving force of democracy freedom rights - instead we help #dictator #misogyny #Sharia #Islam #polygamy
Emotion: fear
Intensity class: | 1: low amount of fear 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: Good #CX most often doesn't require all that much. #smile, #care, #relate and be #helpful. Thanks, Lakis Court Hotel in #cyprus
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: Unixware skydrive-cokie hearty exactment blame online: HEpHXhO
Emotion: joy
Intensity score: | 0.180 |
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: @BrumSciComm in a danish. What horror, what depths. #gbbo
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Heather that was #hilarious! @MsHeatherBates @pattonoswalt @chrishansen #AnthonyWeiner #15gets20 #NYC
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: @AllegedLowbrow It's 'Eye-for-Eye'. Indian Army never forgives, Never Forgets. They always take revenge, Pakistan breaks laws, I.A follows
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the--
Emotion: sadness
Intensity score: | 0.542 |
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: @Rosie #Strongwomen terrify #weakmen - don't let the #bully wear you down. Loving your consistency and truth in rough times Hang in there ❤️
Emotion: fear
Intensity class: | 0: no 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: •My brother grabbed me in a aggressive manner and as always @ImpetuousFiend threw tantrums like a kid only knowing how to express himself--
Emotion: anger
Intensity class: | 3: high amount of anger 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: And there you go. After that wild start, wouldn't be surprised at all if Sweden wins this game. Too much experience there to panic.
Emotion: fear
Intensity score: | 0.400 |
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: @RealMichaelKay Annoys me to about the Ortiz tribute too, how would the Oriole fans and organization feel if Yanks did that to them? #awful
Intensity class: | -3: very negative emotional state 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: Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better!
Emotion: anger
Intensity score: | 0.396 |
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Bluebelle89 @lsmith855 liking the optimism
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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #snap #nudes #tits #snapchat
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: @EllenMellon_88 Got #mybrokenfoot running Great North Run, can't wait to run again in a few months time - be mostly dark then! #ukrunchat
Emotion: sadness
Intensity score: | 0.417 |
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: @Kim_is__bored exactly what I have been saying on fb.. #bitter
Intensity class: | -2: moderately 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: Congrats to #Nicole #bb18 ... Fix that nose now 😒💁🏻 #petty
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: Why does Candice constantly pout #GBBO 💄😒
Emotion: sadness
Intensity score: | 0.396 |
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: He accusd India of HR violations in Kashmir BUT refusd to name India's role in fomenting terror in Pakistan through TTP, BLA & MQM.shame #ZH
This tweet contains emotions: | anger, disgust, sadness, surprise |
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'll find Myself smiling and even laughing at jokes that I don't even think are particularly funny, and I know it's because YOU love them!
Intensity score: | 0.741 |
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: @CGasparino Give it up Gas, I don't hate u, I just don't respect ur rudeness.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: It breaks my heart seeing people down or upset.. I will try my best to make them smile or cheer them up 🤗
Emotion: joy
Intensity score: | 0.438 |
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: @JackHoward the Christmas episode genuinely had me in tears of laughter
This tweet contains emotions: | joy, love, optimism |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: @CNN & @donlemon must be rejoicing ovet #Charlotte protests. \n#NorthCarolina
Emotion: joy
Intensity score: | 0.280 |
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: #RiceFODays now I am Alex Butler's class on financial management. Starts off with a great, relevant class discussion: movies and sunk costs
Emotion: sadness
Intensity class: | 0: no sadness 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: @ScottCarmichae1 @Murican_Stuff don't fret -- this guy is mad because when @realDonaldTrump is elected he might have to get a real job
Emotion: sadness
Intensity score: | 0.312 |
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: Every single problem we ever face can be solved with a nice blend patience and optimism
Emotion: joy
Intensity class: | 1: low amount of joy 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: Man Utd are shambles that was horrific 😭😭😭
Emotion: fear
Intensity score: | 0.521 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I love my black people..... I really really do. But .... my people really do irritate the living hell outta me all cause I'm different. 😑
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!!
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: Every day I think my #house 🏡 is #burning 🔥 but it's always just my neighbor burning their #toast! 😷😡🍞
Emotion: anger
Intensity score: | 0.500 |
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: @eNCA what they should be doing is directing their anger to the thieves in government...#corruption #FeesMustFall
This tweet contains emotions: | anger, disgust, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Friday is here, and we are open tonight and tomorrow. Get a jump on your Halloween and come play with us. #hauntedattraction #tulsa #haunt
Emotion: fear
Intensity score: | 0.196 |
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: is it bad that kurt is literally me..?
This tweet contains emotions: | disgust, 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: Yall rlly gotta stop lettin bees put fear in ur heart. unless ur allergic, I'm not tryna see u run around from a fuckin bee...chill. u soft.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: I can't even right now #bb18
Emotion: anger
Intensity score: | 0.354 |
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: Haven't gotten one hour of sleep... Today is going to be a fun day 😐 #restless
Emotion: fear
Intensity score: | 0.750 |
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: @GSchwartz_ it wasn't a joke .
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Happy Birthday to my favorite author, @StephenKing #writer #author
Emotion: fear
Intensity score: | 0.208 |
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: What's a Kali's kitten? [She asked, a frown curling on her fair skinned forehead as he showed her the scar] A cat did - (@ScarredTiger)
This tweet contains emotions: | |
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: @ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt
Emotion: fear
Intensity score: | 0.500 |
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: @siomo @NEWSTALK1010 20 says he gets reelected..... #be
This tweet contains emotions: | |
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: @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!
Emotion: fear
Intensity score: | 0.542 |
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: sixth form has destroyed my glowing skin im fuming
This tweet contains emotions: | anger, disgust, sadness |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness #terrible
This tweet contains emotions: | anger, disgust |
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: @captainzee44 yup. He can celebrate and no he doesn't hesitate
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: Sometimes I like to talk about my sadness. Other times, I just want to be distracted by friends, laughter, shopping, eating... \n\n#MHChat
This tweet contains emotions: | 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: Being a veteran just totally got me out of a ticket. I'm elated right now, close call.
Emotion: joy
Intensity score: | 0.604 |
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: Fosu-Mensa is having a nightmare 15 minutes. Difference between Premier League reserves and League 1 is still wide
Emotion: fear
Intensity score: | 0.375 |
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 wish I could fast forward 3 months from now, I'll know then where I'm at with my girl, my classes, and basketball. Rn I have pure #anxiety
Emotion: fear
Intensity score: | 0.771 |
Task: 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: Accrington Stanley? Who are they? Exactly. Things looking dire for West Ham despite the win. What's changed since March? #bbcfootball
This tweet contains emotions: | anticipation, disgust |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: This is the first time I've been sober on my birthday in 6 years. #recovery #sobriety #sober #soberissexy #sobernative
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: #Always #borrow #money from a #pessimist. He won't #expect it #back.
This tweet contains emotions: | pessimism |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Dak2future decorations are up all over Jersey already #outrage
Intensity class: | -3: very negative 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: Watching Paranormal Activity: The Ghost Dimension. I'm not sure how I feel about it yet.
This tweet contains emotions: | anticipation, fear, surprise |
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: @WhoIsThisCaleb you could leap to your feet dramatically, plant one foot on the seat of your chair, and let out that jaunty tune!
Emotion: joy
Intensity score: | 0.583 |
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: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #Whitegirlwednesday
Emotion: joy
Intensity class: | 0: no 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: Like he really just fucking asked me that.
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: @StarklyDark 'Come here. Come on. Into my arms. I'm not going anywhere, Tony, I swear.' Steve told him, quiet and solemn.
This tweet contains emotions: | |
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: and I think some of our most spiritually weighty experiences came, counterintuitively and recognized in hindsight, in levity and daily grace
Emotion: joy
Intensity class: | 1: low amount of joy 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: .@LEAFYSZERKER @markiplier is that an insult? Sounds like a job well done. it's red so it's done the job it was suppose to do #justsaying
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: @PunishedSnek in the final analysis, the non-white global majority will not fret over the ethnic origin of our corpses.
This tweet contains emotions: | |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @WestHamUtd why does the ticket website never work? Trying to buy Palace tickets and it's impossible and says there's an error
Emotion: fear
Intensity score: | 0.375 |
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: @jamiesonhelen @MarianKeyes all three of my agin's on the pout .
Emotion: sadness
Intensity score: | 0.500 |
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: Watch this amazing live.ly broadcast by @kana_blender #lively #musically
Emotion: joy
Intensity score: | 0.500 |
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: Sometimes I watch shitty tv to reinforce never giving up cuz if something is that fucking awful on tv, I still stand a chance. #optimism
Emotion: joy
Intensity score: | 0.104 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @luxbet Did you even give out any pizzas ? Serious fail #hungry #hangry
Intensity score: | 0.328 |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: If u know anything about football help me out here, who should I start
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Tremor!!!\n #tremor
Emotion: fear
Intensity score: | 0.740 |
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: @Jen_Lee @mostlymartha @edotwoods we just found thin mints in a freezer clean. i couldn't be more elated.
Intensity class: | 2: moderately positive emotional state 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: Honestly don't give af who wins out of us and pine, I'm just worried about getting drunk Saturday night😂
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: @a_mxe7 hah don't speak to me or my cousin like that, mind a had the displeasure of seeing u bare faced on eh train, no a pretty sight mate
This tweet contains emotions: | anger, disgust, 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: There goes the butterflies in my stomach. #anxietyproblems
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: hate overthinking e v e r y t h i n g like i jus' wanna be happy pls
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: She began to squirm beneath @hcllbent, struggling to get out of his relentless grasp. When she realized that the attempt was useless,++
Intensity class: | -2: moderately negative emotional state 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: @RadioX @ChrisMoyles wow. not heard this in forever. Random but. great #xph
This tweet contains emotions: | joy, love |
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 never the end / When the moment is dire. / A small spark of hope / Can relight a new fire.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @britishairways term 5 security queues at arrivals #shocking
This tweet contains emotions: | surprise |
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: @LoriAlan1 Seriously. Digging those eyebrows.
Emotion: joy
Intensity class: | 1: low 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: aaahhhh! a little @OtisRedding to soothe the soul. #music
This tweet contains emotions: | anticipation, joy, love, optimism, trust |
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: @PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --
Emotion: joy
Intensity score: | 0.537 |
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: im thoroughly in love w zen and jumin and i dont think id even have the patience for either of them irl im old and weary
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: brennan cook and breezy should get back together😍😍😍
Intensity score: | 0.661 |
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: I added Paul Walker on Xbox but he just spends all of his time on the dashboard. #humor #funny
Emotion: sadness
Intensity class: | 0: no sadness 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: @AlanAlanconway Same it's good but not great.Don't Breathe is the horror film of the month for me. My Fav horror film of the year (so far)
Emotion: fear
Intensity score: | 0.292 |
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: @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.
Emotion: anger
Intensity score: | 0.583 |
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: @DRUDGE_REPORT @FoxNews good thing the FBI didn't offend them!
This tweet contains emotions: | optimism |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon
This tweet contains emotions: | joy, optimism |