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Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: Is it terrorism to intimidate a populace? What case held 'coercion by people in uniform is per se intimidation'?
This tweet contains emotions: | anger, disgust |
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Examine the tweet "in health we did a think about depression and now i feel like i have it" 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". | sadness |
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For the tweet "Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #gradschool", 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. | 0: no joy can be inferred |
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Analyze the tweet "I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy" 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 |
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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: @kole_holland don't fret, there's another game on at 8 #staytuned
Emotion: sadness
Intensity score: | 0.250 |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I like the commercial where @kohara19, on a chocolate milk bender, steals a soccer ball from some guys and refuses to give it back. #bully
Emotion: fear
Intensity class: | 0: no fear 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: This meth documentary is exhilarating
Emotion: joy
Intensity score: | 0.339 |
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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: Ive learnt that a #smile and good #morning goes a long way, and saying #thankyou goes even further. #quote #retweet #inspire | 2: moderate amount of joy can be inferred |
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Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @CSNHayes understandable. Hard when he has zero offense behind him, and only a few wins since the All-Star Break.
Emotion: anger
Intensity score: | 0.271 |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly joy is expressed in this tweet: "Luis Ortiz ducked by Ustinov which means fights off, and he left @GoldenBoyBoxing future not looking to bright for Ortiz #boxing". | 0.288 |
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From the tweet "Rooney ! Oh dear, oh dear ! Fucking 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 |
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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: @aroseblush Hello !\nThe bigger the bully, the more crocodile tears. Bullies always act like offended victims.
Emotion: fear
Intensity score: | 0.438 |
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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: Love this! Laughing while crying works too! #katherinemansfield #failure #laughter #dealingwithfailure
Emotion: joy
Intensity score: | 0.667 |
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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: inha's and seol's banter is rly fun to read. im in awe that seol is willing to deal with her tho
Emotion: fear
Intensity score: | 0.208 |
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Given the emotion fear and the tweet "Dates in the glove box' is pure panic excuse #GBBO", 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. | 2: moderate amount of fear can be inferred |
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Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: @BouchetPetersen @libe @dom_albertini @DavidDoucet Imposuture intellectuelle ! #préjugés #intolérance #personnalitéAutoritaire
This tweet contains emotions: | anger, disgust, sadness |
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Given the emotion joy and the tweet "TheNiceBot: melbjs ;) Here is a smile and a wink from across the web. #TheNiceBot", 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. | 3: high amount of joy can be inferred |
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Analyze the tweet "Always do sober what you said you'd do drunk. That will teach you to keep your mouth shut. \n― Ernest Hemingway #quote" 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. | 1: low amount of sadness can be inferred |
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Given the tweet "At the end of the day I know that my kids will never worry about me leaving them 💕", 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 |
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Consider the emotion anger and the tweet "@DanRather What King says doesn't matter. The fact he came w/ psycho Don is by far more of an affront.". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.562 |
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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: In ever use to like smiling until I realized how good my teeth look ... Witout the braces
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Given the emotion sadness and the tweet "Rooney is 5 yards off the pace in a League Cup game against Northampton Town. Let that sink in for a moment. #MUFC", 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. | 0: no sadness can be inferred |
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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: Heading home to cut grass in the heat. All I wanna do is go out to eat somewhere air conditioned. #pout #AdultingIsTheWorst
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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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: @DavuuWart this is hilarious !!
Emotion: joy
Intensity score: | 0.820 |
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Given the tweet "I love looking at my old statuses on Facebook. The one I have from four years ago on this day was about #glee. I had so many opinions...", 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. | 1: slightly positive emotional state can be inferred |
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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: It's simple I get after two shots of espresso 'Grande, decaf, 130 degrees soy americano with extra foam' #barista
Emotion: fear
Intensity score: | 0.125 |
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Assess the emotional intensity of joy in the following tweet: "Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #cheer #gradschool". Answer with a number between 0 (least intense) and 1 (most intense). | 0.300 |
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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: ESPN just assumed I wanted their free magazines
This tweet contains emotions: | anger, disgust |
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Read the tweet "f breezy" 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. | 1: slightly positive emotional state can be inferred |
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Analyze the tweet "@CorbettBarr @pjrvs @brianclark true. Just me spitting venom because I'm still bitter with Stripe. Like an old man yelling from his porch." 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, sadness |
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Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive 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: Walk right through them! See way past them, and don't even hesitate running them over.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: This is the first time I've been sober on my birthday in 6 years. #recovery #sobriety #sober #soberissexy #sobernative
Emotion: sadness
Intensity score: | 0.375 |
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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: the ending of how I met your mother is dreadful
Emotion: fear
Intensity score: | 0.333 |
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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: @tcarrels \nSo when exactly did you lose your mind, pal? \n #Trump #fraud #misogynist #liar #psychopath #narcissist #conartist
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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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: kenny - where were you born\nme - washington\nkenny - you fucking liar you were born in the fiery pits of hell
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Given the tweet "#FF \n\n@The_Family_X \n\n#soul #blues & #rock #band\n\n#music from the #heart\n\nWith soul & #passion \n\nXx 🎶 xX" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.250 |
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Examine the tweet "Got to be up in 4 hours to go back to work #cantsleep #excited #nervous" 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, fear, joy |
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Analyze the tweet "i wonder how a guy can broke his penis while having sex? #serious" 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. | 0: no sadness can be inferred |
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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: Drawing mini-comics is joyful; folding mini-comics is meditative and relaxing. I think I need to do them for more than just Halloween...
Emotion: joy
Intensity score: | 0.562 |
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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: 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 | 0: no fear can be inferred |
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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: Watch this amazing live.ly broadcast by @paulzimmer #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
Tweet: i swear people dont wanna see me happy like they will try to do anything to fuck up what i got going
Intensity score: | 0.367 |
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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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: Turns out 'it' wasn't even anything to be concerned about at all. Im happy and a bit frustrated it took so long to get this answer.
This tweet contains emotions: | anger, disgust, joy |
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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: If I'm working and I know you're working., keep in touch with other woman cuz you make me nervous... #OffTop
Emotion: fear
Intensity score: | 0.729 |
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Determine the emotional tone of the following tweet: "#heavyheart these last couple of days, who are the cause of this #fear of losing someone close ? #amerikkka #kkkops #TerenceCrutcher". 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". | fear, sadness |
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Please determine the intensity of the emotion anger in the tweet "Another loss to city in the cup next 🙈 😂😂 cmon united!". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.292 |
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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: onus is on Pakistan' : @MEAIndia after #Uri #terror attack
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Determine the valence intensity of the tweeter's emotional state conveyed in the tweet "@ikhras @benglaze Amal Clooney should try to prosecute #Bush/ #Blair for #war crimes that turned our World upside down&created". Offer a numerical score between 0 and 1, where 1 represents very positive and 0 represents very negative sentiment. | 0.435 |
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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: What a grim night #GetTheFireLit 🔥
Emotion: sadness
Intensity score: | 0.667 |
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Analyze the tweet "@delon03 can you at least just walk past her and break out into laughter" 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". | anticipation, joy, trust |
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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: @RashidAlMaktoum For #serious #intermediaries all required info about #project or #Owner will be mailed.
Emotion: sadness
Intensity score: | 0.250 |
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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: I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
Tweet: How is your toddler coping with the new arrival? Has he tried killing her yet?' they cheerfully ask.
Intensity score: | 0.656 |
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Given the tweet "@GNRailUK There's gonna be street parties when you lot leave. Spontaneous rejoicing. Clowns.", 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". | disgust, joy, optimism |
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Please determine the intensity of the emotion fear in the tweet "@LeafyIsHere will showing off biceps scare you?". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.417 |
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Using the tweet "I was cheering for NA team. Now I just want this is over and Gaudreau comes back in one piece. It is getting way too risky", 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". | fear |
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Read the tweet "Its worth noting that despite the animosity between the US president and the Israeli president they both behaved as gentleman." and determine the level of anger present. Select from these options: 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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Examine the tweet "Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️" 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". | pessimism, sadness |
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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: @m_giacchino will this be aired on radio or filmed? Lots of fans over the pond too! #wales
Emotion: sadness
Intensity score: | 0.188 |
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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: My friend just messaged me 'ugh I'm so hungry I can't wait for breakfast' #socialmedia #WineWednesday #hilarious #funny #laughing #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Hey @gmail why can I only see 15 sent emails? Where's the thousands gone?
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Analyze the tweet "Super shitting it about this tattoo #nervous" 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. | 3: high amount of fear can be inferred |
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Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: That's how you start a season that's how you open the show #show #them #how #dark #hell #can #get #Empire
This tweet contains emotions: | optimism |
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From the tweet "very little frustrates me as much as misplacing something. Been looking for my keys for 2 hours now #rage", 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, sadness |
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For the tweet "#FF \n\n@The_Family_X \n\n#soul #blues & #rock #band\n\n#music from the #heart\n\nWith soul & #passion \n\nXx 🎶 xX", 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 |
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Analyze the tweet "I mean, is she supposed to seem joyous when she's talking Rodrigo Duterte, ISIS, the American economy, etc.? Think about what you're saying." 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 |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It is so exhilarating taking on the challenge of demonstrating + explaining WHY #JamesJoyce's #Ulysses is so endearing & wonderful!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Consider the emotion anger and the tweet "@jamielamieee @gerbicapiral_ @Dory then I look at you and we burst out laughing". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.229 |
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Determine the emotional tone of the following tweet: "@NianticLabs .... For example, catching a gloom would yield 6 oddish candies and catching a vileplume would yield 9.". 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". | anticipation, joy, optimism |
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Given the tweet "@KimLy resent" and the emotion anger, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.521 |
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Read the tweet "So grim being up at 6" 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. | 3: high amount of sadness can be inferred |
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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: Wearing all black tomorrow as I continue to mourn the lives of the most recent victims of police brutality. #blackout #WU
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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: @ShannonBeador we know the truth about her, the public is figuring it out. Her words mean nothing. #unhappy #mean #troubled #vile
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: @DKTaylorWriter I thought that was funny, too. But maybe not such a coincidence. Green must be the official color of optimism.
Emotion: joy
Intensity score: | 0.438 |
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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: Just over a week until I start my new job in F1! Looking forward to it and cacking myself at the same time! #nervous
Emotion: fear
Intensity score: | 0.646 |
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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: @natalie_bloomer You interviewed one irate group, two filmmakers who don't live here and got stock statements. That's not journalism.
This tweet contains emotions: | anger, disgust |
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Given the emotion joy and the tweet "mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor !", 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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Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications
Emotion: sadness
Intensity score: | 0.667 |
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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: Goodmorning fam, do you know that your critical condition pave way for your miracle, so #dont #worry #be #happy
Emotion: fear
Intensity score: | 0.271 |
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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: I never let anything below me concern me.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Assess the level of joy present in the following tweet: "@gothictana im a delight". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.542 |
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Using the given tweet "@johnmerro1 @Liberobility still bitter about last night lads 😂", 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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For the tweet "@CovinoandRich just heard back2back, guess that's why they call it the blues & she's got the look, but I can only sing tickle sacks version", 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 |
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For the tweet "@VBadawey Every day, we need to choose hope over fear, and diversity over division - Justin missed optimism, change, sunniness, love,", 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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Analyze the tweet "Which #JohnCarpenter #horror #action #flick is your favorite ??" 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". | anticipation, fear, trust |
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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: But this is the internet age, so get mad out of any and all proportion and assume the terrible worst with little to no facts or knowledge.
Emotion: fear
Intensity score: | 0.500 |
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Given the tweet: "I'm so over having anxiety" 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. | 0.807 |
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Please analyze the tweet "@BonesARP 'That is a disappointment.'\n\nHe fakes a pout, then starts to chuckle." 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". | disgust, sadness |
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Given the tweet "Season 3 of penny dreadful is on Netflix...well my afternoon is filled" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.375 |
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Given the tweet "@shawnstockman This would be hilarious, if it weren't so frighteningly on point. It's gone from a few bad apples to a national disgrace.", 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". | disgust, joy, pessimism, sadness |
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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: 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
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "@EE your a joke I pay for data when I'm in Spain and you then text and say I've used up all my data #terrible service" 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. | 0: no fear can be inferred |
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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: @savageimiike one of my favorite songs brother, real talk. #rage
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Please analyze the tweet "@Zerfash — can't wait.' She said cheerfully and grinned." 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 |
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Please analyze the tweet "When a guy comes on the train that smells like a mixture of a damp dog, old sweat and sewage works!!!!#gross #horrid #getoffthetrain #smelly" 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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Given the tweet "@Bell @Bell_Support Cancelling home Fibe, Internet and TV this afternoon - as soon as I can arrange alternate Internet. 2/2 #fedup" 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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Given the emotion sadness and the tweet "Theyve substituted the hood for a badge and gun.' Public opinion is indictment of Charlotte police. #dark #sadtimes #america #race", 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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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: @gmbremer is his shoulder a legit concern? 'Expects to play' isn't reassuring 2 games into the season after having shoulder problems.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @CohenDS Yell, 'Bye, garbage!' cheerfully after it.
Emotion: joy
Intensity class: | 0: no joy can be inferred |