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