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Read the tweet "All work and no play makes Jack a dull boy" and determine the level of sadness present. Select from these 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. | 1: low amount of sadness can be inferred |
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Examine the tweet "340:892 All with weary task fordone.\nNow the wasted brands do glow,\nWhilst the scritch-owl, scritching loud,\n#AMNDBots" 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, disgust |
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From the tweet "Right i may be an #sufc fan and the football maybe shit but marcos rojo for #mufc has had a shocking start he's just dreadful", 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, surprise |
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Classify the emotions found in the tweet "@veroicone my typical shake is ~100g banana, 1c almond milk, 1tbsp chia and protein. Sometimes I add PB2 or ice or other fruit.". 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". | joy |
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Using the tweet "@Amphabio don't kill it bees are dying at an alarming rate", 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, fear, sadness |
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Please analyze the tweet "@SadiqKhan #terrorism shouldn't be a way of life in the united etates and wasn't until #islam brought it here! #IslamExposed #islambacon" 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, fear |
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Assess the valence intensity of the tweeter's emotional state given the tweet: "I know few will mourn the loss of Stitch's Great Escape, but...see, THIS is the kind of cost-cutting at parks I really don't care for.". Provide a numerical score ranging from 0 to 1, where 1 signifies highly positive and 0 indicates highly negative. | 0.578 |
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Given the tweet "Just like there is a right way to pray, there is a right way to give - not grudgingly or of necessity, but cheerfully. #woficc", 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". | joy, optimism, trust |
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Determine the emotional tone of the following tweet: "🔥💁🏼- its lit having a class with you!!! Your such a great person and good at cheer!!". 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, love, optimism, trust |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly anger is expressed in this tweet: "Constantly fucking boiling and it's not ok". | 0.771 |
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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: Another loss to city in the cup next 🙈 😂😂 cmon united! | 0: no anger can be inferred |
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Determine the emotional tone of the following tweet: "I'm just doing what u should b doing just minding my business and grinding relentless @LITO615". 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". | anger, disgust |
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From the tweet "@CNNPolitics I can't wait to hear what he had to say about the brilliant Dr. Hawking... it should be rich... In the poorest of taste! #bully", 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, anticipation, disgust |
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Using the tweet "@drunkafzayn @vogueszap yes it's shocking how islamophobic Indias are considering how many Muslims live there", 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, surprise |
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For the tweet "@PediMGHHMS3 sickle cell if right pt background. Or could be JIA or an allergic reaction to a bite e.g. bee sting among others." 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. | 0.292 |
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Consider the emotion fear and the tweet "Damnnit! Gonna be 1400 pts shy on Chiefs Rewards of getting a post game photo.". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.521 |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 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: #PeaceIsPossible when both party accept one another and rejoice together after #OndoGuber,Nov26. @JciOndokingdom @cuttie_dove @Lekibeat | 1: low amount of joy can be inferred |
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Please determine the intensity of the emotion joy in the tweet "And thus begins my 2 week holiday! 😏😏\n #holiday #ghastinoir #rest". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.792 |
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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: Laudrup and his evil white companions rejoice. | 0.617 |
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Given the tweet: "This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including me😑😑😂" 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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Analyze the tweet "#Talking about our #Problems is our greatest #Addiction#Break the #habitTalk about ur #Joys#quote #problemsolving #behappy" to classify the intensity of the emotion joy. Your 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. | 1: low amount of joy can be inferred |
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Review the tweet "@nigglydz lydiaaaa, we were the only ones that were supposed to know that you make me nervous 😶" 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. | -2: moderately negative emotional state can be inferred |
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Examine the tweet "$100 says Teufel is 'reassigned' within the organization before next year, but I wish it was sooner... #Mets #thirdbasecoach #lgm" 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". | anticipation, optimism |
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Assess the emotional intensity of anger in the following tweet: "Well, the lines for Sweden's goals sure sting.". Answer with a number between 0 (least intense) and 1 (most intense). | 0.312 |
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Please determine the intensity of the emotion fear in the tweet "@iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times". 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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Assess the level of joy present in the following tweet: "@SteveStratford9 @PaulTowheyJr @ClassicDrWho @BBC @bbcdoctorwho all those will get animated IMO. Companion changes/Monsters/Classics.". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.292 |
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Determine the emotional tone of the following tweet: "@Thatguy_dree @RecklessWonder_ neither one of y'all can see me in this madden". 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". | anger, joy, optimism |
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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: They tend to loosen up a bit when drunk, and can seem pretty cheerful. | 0.677 |
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Given the emotion fear and the tweet "@Curculiunculus @System1Politics Yep, as I pointed out before, it's the politics of loathing. That's why the big candidates are so horrible.", 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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Analyze the tweet "Always be #cheerful, #smile often make others happy, care for others, help who feel helpless and #vulnerable. Life feels good #leadership" to classify the intensity of the emotion joy. Your 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. | 3: high amount of joy can be inferred |
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For the tweet "I hate having ideas but being too afraid to share them 😔", 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. | 2: moderate 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: @GambinoDeeJay @Linda76Graham @mikeeshy \n\nAnd also, trying to find it on Youtube is a fucking nightmare. | 0: no fear can be inferred |
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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: @SkySportsRL i would just get some decent referees | 0: no fear can be inferred |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 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: She began to squirm beneath @hcllbent, struggling to get out of his relentless grasp. When she realized that the attempt was useless,++ | 1: low amount of anger can be inferred |
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Given the tweet: "@PeanutRD @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen hey #sparkling is the word I just picked 4 my biz card" 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. | 0.417 |
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For the tweet "@jay_roseee but that new breezy & tiller 🔥🔥🔥🔥🔥", 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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From the tweet "What's good is that we already hit rock bottom, even though I'm about two more seasons away from new depths of despair. #playoffs? #NJDevils", 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". | fear, sadness |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly anger is expressed in this tweet: "You ever just be really irritated with someone u love it's like god damn ur makin me angry but I love u so I forgive u but I'm angry". | 0.667 |
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Classify the emotions found in the tweet "@Nataliem55 sadly, war has often been the factor that jump starts US economic growth". 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". | sadness |
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Given the tweet "Your future is bright. #Remember", 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". | joy, optimism |
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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: @bodwell_james did it not just enliven your soul | 0.532 |
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Determine the valence intensity of the tweeter's emotional state conveyed in the tweet "Doesn't it just suck when you're so real to someone and try to exhilarate every ounce out of them to only see that they're not down". Offer a numerical score between 0 and 1, where 1 represents very positive and 0 represents very negative sentiment. | 0.290 |
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Please analyze the tweet "@DSDambuster just finally started #homefronttherevolution, what did you all do the story and gameplay??? #terrible #wasteofmoney" 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 |
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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: @NFYFC @Wilkster_ hmm, don't know many yf who are short on confidence! Wish I'd been one, | 0: no fear can be inferred |
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Assess the sentiment intensity of the tweet "Super shitting it about this tattoo #nervous" based on the mood of the author. Provide a rating from 0 to 1, where 0 signifies extremely negative and 1 signifies extremely positive. | 0.344 |
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Using the given tweet "When's it all finished, you will discover that it was never random! #thoughts #CrossoverLife", determine the level of the author's emotional state. Your options 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. | 0: neutral or mixed emotional state can be inferred |
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Analyze the tweet "@crumpledlinen he chirp" to classify the intensity of the emotion joy. Your 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. | 0: no joy can be inferred |
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For the tweet "What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #furious #hangry #day5", 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, sadness |
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Given the tweet "@soyoprincess they irritate me. Them and their inch thick made up masks", 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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Please determine the intensity of the emotion joy in the tweet "@GOT7Official @jrjyp happy birthday jin young!!!!!! #PrinceJinyoungDay #happyjinyoungday #got7 #happy #birthday". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.688 |
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Assess the valence intensity of the tweeter's emotional state given the tweet: "A warm #smile is the universal language of kindness William Arthur Ward #love #kindness". Provide a numerical score ranging from 0 to 1, where 1 signifies highly positive and 0 indicates highly negative. | 0.625 |
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Assess the emotional intensity of fear in the following tweet: "Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad #terrible". Answer with a number between 0 (least intense) and 1 (most intense). | 0.354 |
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For the tweet "@Myahrissavietta I'm cheery now 😘😉" and the emotion joy, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.760 |
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For the tweet "In other news. My legs hurt. #running #5kin26mins #flatfeet", 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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Assess the sentiment intensity of the tweet "@BrianaBanksxoxo I send ya a few #playful nibbles 😉" based on the mood of the author. Provide a rating from 0 to 1, where 0 signifies extremely negative and 1 signifies extremely positive. | 0.679 |
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Assess the emotional intensity of joy in the following tweet: "Shanghais chief distracting levity pampa - proper dingle carry away: uUDQujcia". Answer with a number between 0 (least intense) and 1 (most intense). | 0.180 |
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Consider the emotion joy and the tweet "I envy the relentless, your cheerful smile aimed at the pouring rain, your positive attitude is an art you have continually mastered.". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.519 |
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Classify the emotions found in the tweet "@NGilbert92 @_c0urtknee_ haha it's me, shocking I know 😂 you'll hear me moan I'm too cold in winter ⛄️". 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". | joy, optimism, surprise |
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Your task is to measure the intensity of sadness in the tweet: "@Hannahcolleen06 I have 12 & that's the only one I didn't like 😂 mine comes out patchy. It's the only dark color by her I have tho.". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.312 |
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Analyze the tweet "Multitasking .... I may have to induce these seeds of mine to sleep. #restless" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.521 |
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Given the tweet: "Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #rage #smrtruinslives" 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. | 0.917 |
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For the tweet "@Slippus @PureGym yeah I received a fine today which I am furious about, currently appealing it after being a member for so long...", 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, pessimism |
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Provide a quantitative evaluation of the sentiment in the tweet "Tutoring gives me such an exhilarating feeling. I love helping people 😌". Offer a score from 0 to 1, with 1 representing very positive and 0 representing very negative. | 0.790 |
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Given the tweet "There's this Bpharm4 guy Eish that guy brings anger into my life. When I see him nje like darkness fills me @RamatsobaneM will know" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.667 |
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Your task is to measure the intensity of anger in the tweet: "Like he really just fucking asked me that. #offended". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.750 |
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Examine 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" 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, disgust, pessimism, 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: my boyfriend once forcibly stopped all of my anxiety coping methods at once (holding me, forcing my hands down that kinda stuff) and I -- | 2: moderate amount of fear can be inferred |
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Consider the emotion fear and the tweet "Ready for my sweet princess to arrive. I'll he 37 weeks this Saturday! #excited #nervous". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.352 |
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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: Your #smile is a messenger of your good will. | 2: moderate amount of joy can be inferred |
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Given the tweet "What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #hangry #day5" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.729 |
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Assess the emotional intensity of sadness in the following tweet: "@Nataliem55 sadly, war has often been the factor that jump starts US economic growth". Answer with a number between 0 (least intense) and 1 (most intense). | 0.479 |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 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: @FoxNews @SheriffClarke @FoxNewsInsider This man is an affront to our justice system. | 3: high amount of anger can be inferred |
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Please determine the intensity of the emotion fear in the tweet "@F1abraham holy shit...what the hell happened to your lips!! Fix that shit! #mtv #teenmom #horrible". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.479 |
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Using the given tweet "I swear if @devincameron23 blocks me I'm going to hit her back", determine the level of the author's emotional state. Your options 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. | -3: very negative emotional state can be inferred |
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Please determine the intensity of the emotion joy in 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". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.104 |
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Analyze the tweet "@LonelyGoomba UK cops have an issue fearing intervention. Hence situations like Rotherham. So of course it'll be dwarfed by US cops." and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.562 |
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For the tweet "@soboleskih Okay this is hilarious", 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. | 2: moderate amount of joy can be inferred |
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Given the tweet "Leon's cheerfulness is always a big help.", 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". | joy, love, optimism, trust |
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Assess the level of anger present in the following tweet: "In 2016, Black people are STILL fighting to be recognized as human beings. #cantsleep". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.646 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly fear is expressed in this tweet: "STAY JADED everyone is #terrible". | 0.417 |
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Determine which emotions are present in the tweet "Something about these cool, breezy fall days.. 😍🍂🌾🍁". 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, optimism |
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Consider the emotion fear and the tweet "@Justin_Gau @JamesMelville You certainly wouldn't catch me with the multitude.". 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: "It's simple I get after two shots of espresso 'Grande, decaf, 130 degrees soy americano with extra foam' #barista" 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. | 0.125 |
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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: Wishing the Ipswich Tigers good luck in their games throughout homecoming week!! We are cheering you on here at the City Office! GO TIGERS! | 3: high amount of joy can be inferred |
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Given the emotion fear and the tweet "I need to learn to be in one place at one time and try not to worry about everything all at once", 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. | 1: low amount of fear can be inferred |
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Consider the emotion joy and the tweet "I just really enjoy bright colors, like the colors you would see downtown Miami". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.729 |
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For the tweet "@Slippus @PureGym yeah I received a fine today which I am furious about, currently appealing it after being a member for so long..." 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. | 0.646 |
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Read the tweet "A Lysol can got stuck in spray position and we're all slowly suffocating from the trash can that smells like a Febreeze factory. #panic" 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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Consider the emotion sadness and the tweet "@Fly_Norwegian quite simply the #worst #airline #worstairline I've ever used! #shocking #appauling #dire #dismal #beyondajoke #useless". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.667 |
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For the tweet "Tomorrow is the day I cut and dye my hair! 😳 #excited", 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". | anticipation, joy, optimism |
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Please determine the intensity of the emotion anger in the tweet "Who the hell is drilling outside my house?! Literally got to sleep at half four after a busy shift and these twats have woken me up". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.976 |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 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: Every dancers dream song #worldpower | 0: no anger can be inferred |
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Consider the emotion fear and the tweet "@JamesPiotr I am working on a feature right now about the preponderance of awful owners who are at war with fans. So many to choose from.". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.354 |
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Assess the emotional intensity of fear in the following tweet: "Having a terrific Tuesday? Crush it today with the Power of 4. Treat your internet like Pizza =D \n#PowerOf4". Answer with a number between 0 (least intense) and 1 (most intense). | 0.250 |
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Assess the level of joy present in the following tweet: "My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!! #optimism". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.208 |
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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: Tweeting from the sporadic wifi on the tube #perilous | 0: no fear can be inferred |
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Analyze the tweet "my boyfriend once forcibly stopped all of my anxiety coping methods at once (holding me, forcing my hands down that kinda stuff) and I --" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.740 |
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For the tweet "@ardit_haliti I'm so gutted. I loved her cheery disposition.", 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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Given the tweet "@bt_uk why does tracking show my equipment delivered, when it wasn't? Why is my service suddenly delayed? We've already 3 weeks.", 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, sadness |
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Determine the emotional tone of the following tweet: "To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #offalonehugots". 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, sadness |
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Citation Information
Liu, Z., Yang, K., Xie, Q., Zhang, T., & Ananiadou, S. (2024, August). Emollms: A series of emotional large language models and annotation tools
for comprehensive affective analysis. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5487-5496).
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