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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 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: I feel like an appendix. I don't have a purpose. #sad #depressed #depression #alone #lonely #broken #sadness #cry #hurt #crying #life | 3: high amount of sadness can be inferred |
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Analyze the tweet "@cazzrhughes its reflective of the current political debate" to classify the intensity of the emotion fear. Your 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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For the tweet "I seriously hope these chances Celtic are missing are going to come back to haunt them with an Alloa sucker punch", 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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Classify the emotions found in the tweet "Zero help from @ups customer service. Just pushing the buck back and forth and promising callbacks that don’t happen. #anger #loathing". 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". | anger, disgust |
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Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 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: Come to the @BullSkitComedy FUNdraiser this Fri. at 8pm @TheScottBlock. Because #pie + #face = ! | 1: low amount of joy can be inferred |
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For the tweet "What we fear doing most is usually what we most need to do.' ~Tim Ferriss #inspiring #inspired #motivation #fear #success #hustle" and the emotion fear, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.292 |
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Let's gauge the sentiment intensity of the tweet "@Bickley_Marotta yea because forcing 5 turnovers and holding a pretty good offense to 7 points is concerning.....oh wait. NO!!". Assign a real number within the range of 0 to 1, with 0 representing highly negative and 1 representing highly positive. | 0.301 |
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Determine which emotions are present in the tweet "so many 'protests for peace' going on lately but all i see is people burning down they're own cities and hometowns. Practice what u preach.". 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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Analyze the tweet "We're very busy #coding a whole network manager for #unity3d based on #steamworks networking. #gamedev #indiedev #3amDeadTime #horror #game" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.417 |
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Evaluate the sentiment intensity of the tweet "@amstrado_CPC @ShittySUFanart the single tear is him being joyous that he's deleted the monster that has brought generations of despair" based on the tweeter's mood. Give a score between 0 and 1, where 0 represents extremely negative and 1 represents extremely positive. | 0.667 |
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Determine which emotions are present in the tweet "@Deadspin @Rlblack1Rob My guess is he's just a convenient target for misplaced anger. What they're really mad at is how they played.". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | anger |
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Assess the sentiment intensity of the tweet "Being #happy means letting go of the clinging and attachment to things in your life. #WednesdayWisdom #life" based on the mood of the author. Provide a rating from 0 to 1, where 0 signifies extremely negative and 1 signifies extremely positive. | 0.688 |
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Examine the tweet "Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest #happy" 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 |
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For the tweet "@Aurena1701 @AngryOrchard he didn't sting me luckily. He just flew off happy and drunk. Lolololol" 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. | 0.146 |
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For the tweet "@RogueCoder250 We are in so much trouble!! I don't think the Rev will see the funny side of our project.", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | fear, joy, sadness |
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For the tweet "I told myself i wouldn't talk about this but i need to bring it up. I'm slightly bitter about the tøp cover of cancer", 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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Determine how strongly anger is expressed in the following tweet. Use the scale: 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.
Tweet: This anger inside I turned to fuel, I burned and watched myself spin down, like inferno types, | 3: high amount of anger can be inferred |
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Analyze the tweet "I am just so bitter today 😐" 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". | anger, disgust, pessimism, sadness |
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Assess the level of sadness present in the following tweet: "Feeling #gloomy". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.793 |
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Given the tweet: "Jorge deserves it, honestly. He's weak. #revolting #90dayfiance" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.229 |
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Please analyze the tweet "Halfway to work and I realize I forgot to put on underwear....It's going to be one of those days! #mombrain #toomuchgoingon #longday" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | anger, disgust, pessimism |
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Analyze the tweet "@JimRichMoriarty + I am in your life! *He yells* Surprise, surpriiise! *He chirps cheerfully, with a wicked grin on his lips*" 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". | joy, optimism, surprise |
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Assess the sentiment intensity of the tweet "Good morning joyful people. Choose happiness to have a great day today #morning #happiness #grandmercurejktkemayoran" based on the author's emotional state. Present a numerical rating between 0 and 1, with 0 being extremely negative and 1 being extremely positive. | 0.917 |
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Analyze the valence intensity of the tweeter's mood conveyed in the tweet "@fixindk @RevoltRazor @dragons1015 Guys don't use that type of language. Save it for raging...". Offer a real-valued score ranging from 0 to 1, where 1 indicates the most positive and 0 indicates the most negative sentiment. | 0.328 |
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Given the tweet: "y'all shabazz's name in my phone is 'easy breezy beautiful' & I will not apologize." 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. | 0.300 |
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Given the tweet: "These #NewEnglandPatriots jerseys look like some whack ones that you tried to make when you made custom jerseys on #madden 04" and the emotion: anger, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.271 |
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Review the tweet "A pessimist sees the difficulty in every opportunity, an optimist sees the opportunity in every difficulty' -Sir Winston Churchill-" and assign it to one of the emotional state categories. The categories are: 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. | 1: slightly positive emotional state can be inferred |
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Analyze the tweet "Saga: When all of your devices and teles fail just in time for bake off #gbbo" 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". | anger, disgust, optimism |
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Consider the tweet "@GOT7Official @jrjyp happy birthday jin young!!!!!! #PrinceJinyoungDay #happyjinyoungday #got7 #happy #birthday" and determine the tweeter's emotional state. Choose from: 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 positive emotional state can be inferred |
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Given the tweet: "@Yoshi_OnoChin can you please not have Canadian players play US players, that lag is atrocious. #fixthisgame #trash #sfvrefund" and the emotion: anger, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.646 |
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Assess the emotional intensity of sadness in the following tweet: "@WilsonsWorld I was in high school and remember helping neighbors clean up back home in Greenville. Pretty sobering stuff. #sadness". Answer with a number between 0 (least intense) and 1 (most intense). | 0.688 |
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Assess the emotional intensity of sadness in the following tweet: "@tonygoldmark Yeah I won't mourn it but I'm glad I rode it the last time I visited.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.333 |
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Given the tweet "@PAULROVlA the first resulted in me angrily sobbing and ranting about finnick in the cinema" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.562 |
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Analyze the tweet "Cause fail or pass I refuse to be sober" to classify the intensity of the emotion sadness. Your options are: 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. | 2: moderate amount of sadness can be inferred |
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Using the tweet "Noooooo @GBBOUK without #MaryBerry will be #awful #endofanera going 2b so #lost @Channel4 have bought a #lameduck there #notallaboutthemoney", 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". | anger, disgust, pessimism |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 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: Special thanks to @hamsterwatch & @UgotBronx for keeping us updated & entertained this dismal BB season 💕 | 0: no sadness can be inferred |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 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: Nawaz Sharif's UN should start #सत्य_बोध_यात्रा as after all his #UNGA speech has awaken the world about their role in sponsoring #terrorism | 1: low amount of fear can be inferred |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 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: @YahooFantasy update may have been the worst mistake of my day #horrible | 2: moderate amount of fear can be inferred |
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Consider the emotion joy and the tweet "Thank you @twitter for the balloons today. #smile #goodday #48". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.833 |
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Given the tweet: "so I picked up my phone!!!' #shocking 😳" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.542 |
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Given the tweet: "Val reminds me of one of the cheerful witches that looks after Aurora in Disney’s Sleeping Beauty. #GBBO" 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. | 0.521 |
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For the tweet "@megalvz literally was gloomy for an hour", 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 emotion anger and the tweet "@Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE.", classify the intensity of the emotion displayed in the tweet. The classification 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. | 0: no anger can be inferred |
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For the tweet "If a cop is going to pull a gun on you for no reason at all and threaten you, you should be able to merk his ass and walk away.", assess the intensity of the emotion fear. Choose one of the following: 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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Given the tweet "It is a solemn thing, and no small scandal in the Kingdom, to see God’s children starving while seated at the Father’s table. -AW Tozer", 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, pessimism, sadness |
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For the tweet "Your lion's heart\nWill protect you under stormy skies\nAnd I will always be listening for your laughter and your tears", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | joy, optimism, trust |
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Examine the tweet "ok, ok.. I know.. my last tweet was" 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 |
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Examine the tweet "This shit hurting my heart 😪 that's how serious it is ." 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". | anger, sadness |
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Please determine the intensity of the emotion anger in the tweet "@komal_sidhnani true...\nThey r burning with other's pleasure!\nPpl in true love happiness everywhere _😃". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.312 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly fear is expressed in this tweet: "@jjskeffington @foodbelfast I dread to think!". | 0.583 |
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Given the tweet: "Watching driven by food and @andrewzimmern going to Devon Ave to eat nihari makes me gleeful af" 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. | 0.780 |
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Given the tweet: "Use your smile to change the world. Don't let the world change your smile.' #quote #actorslife #love #hardworkpaysoff #fun" 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. | 0.745 |
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Assess the emotional intensity of fear in the following tweet: "@Zen1dfabflake You are all our angelic comrades!". Answer with a number between 0 (least intense) and 1 (most intense). | 0.188 |
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For the tweet "Southampton playing really well here. Youngsters Matty Targett and Jake Hesketh in particular and Austin and Long formidable as a front two" and the emotion fear, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.271 |
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Given the emotion joy and the tweet "It's a beautiful day today. Cloudy but sunny and breezy.", classify the intensity of the emotion displayed in the tweet. The classification options 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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Using the tweet "I hate those sugar cookies shit is awful", 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". | anger, disgust |
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Read the tweet "@TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor !" and determine the level of joy present. Select from these 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. | 1: low amount of joy can be inferred |
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Determine which emotions are present in the tweet "Watch this amazing live.ly broadcast by @maisiev #lively #musically". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | joy, love, surprise |
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Read the tweet "Jimmy Carr makes me want to cry and cry *shiver*" and determine the level of fear present. Select from these options: 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. | 2: moderate amount of fear can be inferred |
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Assess the emotional intensity of fear in the following tweet: "#soywax limited edition horror candles going up @scentedscreams! Follow us for all the latest news!!". Answer with a number between 0 (least intense) and 1 (most intense). | 0.396 |
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Assess the sentiment intensity of the tweet "@niceoneWern @Alotta_Pain the gleesome threesome" based on the author's emotional state. Present a numerical rating between 0 and 1, with 0 being extremely negative and 1 being extremely positive. | 0.422 |
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Consider the emotion anger and the tweet "@cburt43 turn that frown upside down". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.125 |
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Given the tweet "Who actually chooses to drink sparkling water 🤔", 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". | anticipation |
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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: Ever been really lonely and your phone keeps blowing up, but you just can’t pick it up and respond to people? #anxiety #recluse #issues | 3: high amount of fear can be inferred |
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Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 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: Well that was exhilarating. I didn't know you could have goosebumps for 2 hrs 5m straight. | 2: moderate amount of joy can be inferred |
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Evaluate the valence intensity of the following tweet, considering the mood of the tweeter. Provide a score between 0 and 1, where 0 indicates very negative and 1 indicates very positive.
Tweet: @homoaesthetics YESYESYES like jd is the closest cahracter that is similar to blaine!! the optimism and ability to crack tough characters | 0.683 |
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Determine the emotional tone of the following tweet: "The object of literature is to make man a wiser and happier being. The poet makes us happy because he tells us how we may become so.". 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". | joy, optimism, trust |
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Given the emotion sadness and the tweet "Don't be disheartened if you didn't get the cards you wanted, it's not the end of the world......E-Eh...? Y-You want me to cheer you up?", 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. | 1: low amount of sadness can be inferred |
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From the tweet "2 biggest fears: incurable STD's and pregnancy...I mean, they're basically the same thing anyway #forlife #annoying #irritation #weirdsmells", 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". | anger, disgust, fear |
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Your task is to measure the intensity of anger in the tweet: "@saclivin @MrsCagg specific & intentional way. And part of that intention is to provoke conversation around systemic racism towards blacks.". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.583 |
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Examine the tweet "Oh my. Watching #rage. It's been like, ages" 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". | anger, joy |
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Evaluate the valence intensity of the following tweet, considering the mood of the tweeter. Provide a score between 0 and 1, where 0 indicates very negative and 1 indicates very positive.
Tweet: Liam is too distant makes me mourn 😪 | 0.240 |
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Given the emotion sadness and the tweet "@zombieisIand yeah friends of minw have witnesse accidents and a road near me like??? cars hav like sunk?? but ih gosh be safe okay !!", classify the intensity of the emotion displayed in the tweet. The classification options are: 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. | 2: moderate amount of sadness can be inferred |
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Please analyze the tweet "#ArchangelSummit @sethgodin Anyone can be brave but you just have to last 5 mins longer than everyone else. #leadership" and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | anticipation, joy, optimism, trust |
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Given the tweet: "She gave a playful wink, taking the goggles off her head, swinging them around her finger. 'I would never~' @VerminEngineer" 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. | 0.534 |
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For the tweet "Glasgow Girls' is a real tonic @stratfordeast:an eclectic range of songs, barbed humour and eloquence in its fiery rage against injustice" 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. | 0.583 |
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Determine which emotions are present in the tweet "@kevinmenzel annual reminder that i don't care and will cheerfully eat anything so labeled". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | neutral or no emotion |
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Classify the emotions found in the tweet "@Geminiak @LondonNPC you're welcome! #wordgeek \nAlso, good to put a face to the twitter feed, even if it was only a cheery hello! 😀". 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". | anticipation, joy, optimism |
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From the tweet "I either look like a raging bitch, or I'm obnoxiously laughing at something not that funny. I don't think there's any middle ground.", 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". | anger, disgust |
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Given the emotion joy and the tweet "Your future is bright. #Remember", rate the intensity of joy shown. The rating scale is: 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 valence intensity of the tweeter's mood conveyed in the tweet "All the bright places :(". Offer a real-valued score ranging from 0 to 1, where 1 indicates the most positive and 0 indicates the most negative sentiment. | 0.565 |
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Consider the emotion fear and the tweet "#GetSmartWithARQ is a smart way to start investing and #whiteicenetwork is smart source 2 #start #skilled #manpower #recruitment for ur firm". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.169 |
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Assess the emotional intensity of joy in the following tweet: "@footballmcd agreed. Memphis looks lively also". Answer with a number between 0 (least intense) and 1 (most intense). | 0.395 |
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Given the tweet: "An @amityaffliction kind of drive home from work today #dailyfeels" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.458 |
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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: Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas, was sentenced to 48 months in prison for lying to the Feds about . | 0: no fear can be inferred |
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Determine the valence intensity of the following tweet, considering the mental state of the author. Assign a real number between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive.
Tweet: Love this! Laughing while crying works too! #katherinemansfield #failure #dealingwithfailure | 0.533 |
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Analyze the tweet "@LeKingCoq @MistaAggy @GiovanniiDC The way my blood is boiling, little bastards!" and quantify the intensity of the emotion anger. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.792 |
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Determine the valence intensity of the tweeter's emotional state conveyed in the tweet "The feeling of taking someone's life is either scarring or exhilarating, but for people need to realize that we're going to die at some--". Offer a numerical score between 0 and 1, where 1 represents very positive and 0 represents very negative sentiment. | 0.367 |
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Given the emotion sadness and the tweet "Ffs dreadful defending", 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. | 1: low amount of sadness can be inferred |
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For the tweet "@twojacksdetail @bluelivesmtr Very rare an officer just shoots without regard. They don't want that on their conscience. #incite #inflame", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | anger, disgust |
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Evaluate the following tweet and classify the emotional state of the author into one of these levels: 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: Benefit out exhilaration called online backing off: JkUVmvQXY | 1: slightly positive emotional state can be inferred |
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Assess the level of sadness present in the following tweet: "@BroggersM19 @Calum250284 He had been retired 20 minutes ago by most blues on here 😊". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.280 |
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Given the tweet: "repentance, and trusting in Christ. It is lowly and painful, but it is also joyous, peaceful, and absolutely glorious. (2/2)" 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. | 0.479 |
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Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 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: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch. | 2: moderate amount of fear can be inferred |
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Given the tweet "@pronounced_ing However I am pretty sure my over excitement did not help your bullet journal fright. 🙃", 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". | anticipation, joy, optimism |
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Given the tweet "Fellaini has been playing ahead of this guy...just let that sink in", classify the sentiment expressed by the author into one of the following 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. | 0: neutral or mixed emotional state can be inferred |
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Analyze the valence intensity of the tweeter's mood conveyed in the tweet "@ThatBritishDude no okay you don't not need to be going out of your way to make sure you are pleasing everyone do what makes you happy". Offer a real-valued score ranging from 0 to 1, where 1 indicates the most positive and 0 indicates the most negative sentiment. | 0.548 |
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Given the tweet "Only God knows why things happen, sometimes it's just hard to understand. #sad #prayingforyou" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.875 |
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Please analyze the tweet "Riding at night has got to be one of the most exhilarating, refreshing things I have ever done." and classify its emotional content. Choose from the following emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are detected, respond with "neutral or no emotion". | joy, optimism |
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Given the tweet: "@fillegrossiere @PeasParsley @tombrodude bobs burgers is an animated show. Maybe Bob looks like him. They would cast him based on voice too" 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. | 0.333 |