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Given the tweet "Staff on @ryainair FR1005. Asked for info and told to look online. You get what you pay for. #Ryanair @STN_Airport #Compensation", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion". | anger, disgust |
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Analyze the tweet "Lunatic Asylum: The place where optimism most flourishes." and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | optimism |
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Assess the emotional intensity of fear in the following tweet: "I hate freaking out and ruining things.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.720 |
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Read the tweet "@breadf2man @SunApology and it's Kelvin Mackenzie tomorrow... #shudder DontBuyTheSun" and categorize the emotional state of the tweeter using these labels: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -2: moderately negative emotional state can be inferred |
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Please determine the intensity of the emotion fear in the 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". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.354 |
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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: @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 |
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For the tweet "@sydneyswans #cheer #cheer the #red and #white we are now off to #grand final to #win the #fight. Thanks @JetstarAirways", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 2: moderate amount of joy can be inferred |
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Analyze the tweet "@RogueCoder250 We are in so much trouble!! I don't think the Rev will see the funny side of our project. #nervous" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | fear |
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Given the emotion fear and the 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? 🎩", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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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: @Burnt_Out_Darth @theaterofscifi thanks.
This tweet contains emotions: | joy |
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For the tweet "@m_warner21 Yikes. The wrath of Maddie..." and the emotion anger, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.521 |
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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: @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 |
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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: 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 |
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Assess the level of joy present in the following tweet: "Unixware skydrive-cokie hearty exactment blame online: HEpHXhO". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.180 |
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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: @BrumSciComm in a danish. What horror, what depths. #gbbo
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: Heather that was #hilarious! @MsHeatherBates @pattonoswalt @chrishansen #AnthonyWeiner #15gets20 #NYC
This tweet contains emotions: | joy, optimism |
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Analyze the tweet "@AllegedLowbrow It's 'Eye-for-Eye'. Indian Army never forgives, Never Forgets. They always take revenge, Pakistan breaks laws, I.A follows" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 2: moderate amount of anger can be inferred |
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Consider the emotion sadness and the tweet "@JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the--". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.542 |
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For the tweet "@Rosie #Strongwomen terrify #weakmen - don't let the #bully wear you down. Loving your consistency and truth in rough times Hang in there ❤️", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Analyze the tweet "•My brother grabbed me in a aggressive manner and as always @ImpetuousFiend threw tantrums like a kid only knowing how to express himself--" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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Given the 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." and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.400 |
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For the 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", identify the emotional state of the tweeter. Choose the most appropriate category: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -3: very negative emotional state can be inferred |
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Given the tweet "Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better!" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.396 |
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Based on the emotional content of the tweet provided, classify it into one of these categories: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. Here is the tweet: @Bluebelle89 @lsmith855 liking the optimism | 0: neutral or mixed emotional state can be inferred |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
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 |
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Consider the emotion sadness and the 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". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.417 |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional 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 |
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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: Congrats to #Nicole #bb18 ... Fix that nose now 😒💁🏻 #petty
This tweet contains emotions: | disgust, joy, optimism |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Why does Candice constantly pout #GBBO 💄😒
Emotion: sadness
Intensity score: | 0.396 |
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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: 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 |
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Assess the sentiment intensity of the 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!" based on the mood of the author. Provide a rating from 0 to 1, where 0 signifies extremely negative and 1 signifies extremely positive. | 0.741 |
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Given the emotion fear and the tweet "@CGasparino Give it up Gas, I don't hate u, I just don't respect ur rudeness.", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
Tweet: 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 |
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Using the tweet "@JackHoward the Christmas episode genuinely had me in tears of laughter", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | joy, love, optimism |
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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: @CNN & @donlemon must be rejoicing ovet #Charlotte protests. \n#NorthCarolina
Emotion: joy
Intensity score: | 0.280 |
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Determine how strongly sadness is expressed in the following tweet. Use the scale: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness 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 | 0: no sadness can be inferred |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly sadness is expressed in this tweet: "@ScottCarmichae1 @Murican_Stuff don't fret -- this guy is mad because when @realDonaldTrump is elected he might have to get a real job". | 0.312 |
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Assess the level of the emotion joy in the tweet provided. Use the following categories: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: Every single problem we ever face can be solved with a nice blend patience and optimism | 1: low amount of joy can be inferred |
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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: Man Utd are shambles that was horrific 😭😭😭
Emotion: fear
Intensity score: | 0.521 |
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For the 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. 😑", assess the intensity of the emotion anger. Choose one of the following: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 2: moderate amount of anger can be inferred |
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Assess the level of the emotion joy in the tweet provided. Use the following categories: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!! | 0: no joy can be inferred |
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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: Every day I think my #house 🏡 is #burning 🔥 but it's always just my neighbor burning their #toast! 😷😡🍞
Emotion: anger
Intensity score: | 0.500 |
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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: @eNCA what they should be doing is directing their anger to the thieves in government...#corruption #FeesMustFall
This tweet contains emotions: | anger, disgust, sadness |
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Analyze the 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" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.196 |
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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: is it bad that kurt is literally me..?
This tweet contains emotions: | disgust, sadness |
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Assess the level of the emotion fear in the tweet provided. Use the following categories: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear 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. | 0: no fear can be inferred |
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Assess the emotional intensity of anger in the following tweet: "I can't even right now #bb18". Answer with a number between 0 (least intense) and 1 (most intense). | 0.354 |
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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: Haven't gotten one hour of sleep... Today is going to be a fun day 😐 #restless
Emotion: fear
Intensity score: | 0.750 |
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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: @GSchwartz_ it wasn't a joke .
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Assess the emotional intensity of fear in the following tweet: "Happy Birthday to my favorite author, @StephenKing #writer #author". Answer with a number between 0 (least intense) and 1 (most intense). | 0.208 |
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Classify the emotions found in the 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)". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | neutral or no emotion |
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Given the tweet "@ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.500 |
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Examine the tweet "@siomo @NEWSTALK1010 20 says he gets reelected..... #be" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | neutral or no emotion |
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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: @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 |
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Determine which emotions are present in the tweet "sixth form has destroyed my glowing skin im fuming". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger, disgust, sadness |
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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: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness #terrible
This tweet contains emotions: | anger, disgust |
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Determine how strongly fear is expressed in the following tweet. Use the scale: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: @captainzee44 yup. He can celebrate and no he doesn't hesitate | 0: no fear can be inferred |
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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: 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 |
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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: Being a veteran just totally got me out of a ticket. I'm elated right now, close call.
Emotion: joy
Intensity score: | 0.604 |
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Consider the emotion fear and the tweet "Fosu-Mensa is having a nightmare 15 minutes. Difference between Premier League reserves and League 1 is still wide". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.375 |
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Given the 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" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.771 |
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From the tweet "Accrington Stanley? Who are they? Exactly. Things looking dire for West Ham despite the win. What's changed since March? #bbcfootball", identify which emotions are conveyed. Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust. If no emotions are evident, respond with "neutral or no emotion". | anticipation, disgust |
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Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: This is the first time I've been sober on my birthday in 6 years. #recovery #sobriety #sober #soberissexy #sobernative | 0: no sadness can be inferred |
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Given the tweet "#Always #borrow #money from a #pessimist. He won't #expect it #back.", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion". | pessimism |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @Dak2future decorations are up all over Jersey already #outrage
Intensity class: | -3: very negative emotional state can be inferred |
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Using the tweet "Watching Paranormal Activity: The Ghost Dimension. I'm not sure how I feel about it yet.", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | anticipation, fear, surprise |
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Analyze the tweet "@WhoIsThisCaleb you could leap to your feet dramatically, plant one foot on the seat of your chair, and let out that jaunty tune!" and quantify the intensity of the emotion joy. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.583 |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following options: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #Whitegirlwednesday | 0: no joy can be inferred |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Like he really just fucking asked me that.
Intensity class: | -2: moderately negative emotional state can be inferred |
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From the tweet "@StarklyDark 'Come here. Come on. Into my arms. I'm not going anywhere, Tony, I swear.' Steve told him, quiet and solemn.", identify which emotions are conveyed. Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust. If no emotions are evident, respond with "neutral or no emotion". | neutral or no emotion |
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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: 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 |
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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: .@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 |
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Determine the emotional tone of the following tweet: "@PunishedSnek in the final analysis, the non-white global majority will not fret over the ethnic origin of our corpses.". Use the provided emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. Respond with the emotions you identify or "neutral or no emotion". | neutral or no emotion |
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Please determine the intensity of the emotion fear in the tweet "@WestHamUtd why does the ticket website never work? Trying to buy Palace tickets and it's impossible and says there's an error". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.375 |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @jamiesonhelen @MarianKeyes all three of my agin's on the pout .
Emotion: sadness
Intensity score: | 0.500 |
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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: Watch this amazing live.ly broadcast by @kana_blender #lively #musically
Emotion: joy
Intensity score: | 0.500 |
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Given the 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" and the emotion: joy, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.104 |
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Let's gauge the sentiment intensity of the tweet "@luxbet Did you even give out any pizzas ? Serious fail #hungry #hangry". Assign a real number within the range of 0 to 1, with 0 representing highly negative and 1 representing highly positive. | 0.328 |
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Given the emotion fear and the tweet "If u know anything about football help me out here, who should I start", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Consider the emotion fear and the tweet "Tremor!!!\n #tremor". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.740 |
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Determine the sentiment of the tweet "@Jen_Lee @mostlymartha @edotwoods we just found thin mints in a freezer clean. i couldn't be more elated." by categorizing it into one of the following emotional states: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | 2: moderately positive emotional state can be inferred |
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Given the emotion sadness and the tweet "Honestly don't give af who wins out of us and pine, I'm just worried about getting drunk Saturday night😂", rate the intensity of sadness shown. The rating scale is: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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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: @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 |
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Determine the sentiment of the tweet "There goes the butterflies in my stomach. #anxietyproblems" by categorizing it into one of the following emotional states: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | 0: neutral or mixed emotional state can be inferred |
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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: @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 |
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For the tweet "hate overthinking e v e r y t h i n g like i jus' wanna be happy pls", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 0: no joy can be inferred |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional 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 |
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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: @RadioX @ChrisMoyles wow. not heard this in forever. Random but. great #xph
This tweet contains emotions: | joy, love |
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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 |
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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: @britishairways term 5 security queues at arrivals #shocking
This tweet contains emotions: | surprise |
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For the tweet "@LoriAlan1 Seriously. Digging those eyebrows.", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 1: low amount of joy can be inferred |
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Using the tweet "aaahhhh! a little @OtisRedding to soothe the soul. #music", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion". | anticipation, joy, love, optimism, trust |
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Analyze the tweet "@PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --" and quantify the intensity of the emotion joy. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.537 |
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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: 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 |
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Evaluate the sentiment intensity of the tweet "brennan cook and breezy should get back together😍😍😍" based on the tweeter's mood. Give a score between 0 and 1, where 0 represents extremely negative and 1 represents extremely positive. | 0.661 |
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Given the emotion sadness and the tweet "I added Paul Walker on Xbox but he just spends all of his time on the dashboard. #humor #funny", rate the intensity of sadness shown. The rating scale is: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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Consider the emotion fear and the 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)". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.292 |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
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 |
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Determine which emotions are present in the tweet "@DRUDGE_REPORT @FoxNews good thing the FBI didn't offend them!". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | optimism |
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Examine the tweet "But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | joy, optimism |
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