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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: luv seeing a man with a scowl on his face walking with a protein shaker clenching his fists. i immediately stop n suck his dick
This tweet contains emotions:
|
anger, disgust
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: #PeopleLikeMeBecause they see the happy exterior, not the hopelessness I sometimes feel inside. #depression #anxiety #anxietyprobz
Emotion: sadness
Intensity score:
|
0.896
|
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: sometimes im sad then remember Margaret Thatcher is dead and then i rejoice
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @theclobra lol I thought maybe, couldn't decide if there was levity or not
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @paraplyene @soupper i just read it and it's so fun??!!!! So lighthearted and cheerful, i was right, it's a double cavity for me.
Emotion: joy
Intensity score:
|
0.620
|
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: @Budget car rental you have made realize why I always use @nationalcares!!!! What a !! #disgusted
Emotion: fear
Intensity score:
|
0.521
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing 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'm ever so cheerful
Emotion: joy
Intensity class:
|
3: high amount of joy can be inferred
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: I feel really nervous, or anxious. Idk. My leg keeps shaking. Hmm
Emotion: fear
Intensity score:
|
0.833
|
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: In addition to fiction, wish me luck on my research paper this semester. 15-20 pages, oh boy.
Emotion: fear
Intensity score:
|
0.540
|
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: Sixth Form: see you at 8:30 in the morning 🎭 #revolting children #yr7 #assembly 🎭
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @NikhilTikare i like cold gloomy weather
Emotion: sadness
Intensity score:
|
0.396
|
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: @ManUtd Rooney needs to come off! Absolutely dreadful! 🙈🙈🙈 class goal from @carras16 @carras16 showing why he should be in the team!!
Intensity class:
|
-2: moderately negative emotional state can be inferred
|
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: On the bright side with YouTube heroes leafy will finally get banned
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @Doubtism I'm not on about history or other people, I'm on about you. I've bullied no one, I make three posts and you attack #bully
Emotion: fear
Intensity score:
|
0.680
|
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: @SurfaceSupport A profoundly disappointing experience. I have 2 pay almost $500 2 remedy a defect n the product @Microsoft sold me
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: Mm, okay. Ham for you and turkey for me.' Gives his hair a ruffle before heading back in the kitchen to set out the >>\n@DarkSithKenobi
Emotion: anger
Intensity score:
|
0.250
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: Anyone know how the #Mariners did today? The mood here seems strangely jubilant! As Meatloaf says, 2 out of 3 ain't bad, unless you win one!
Emotion: joy
Intensity score:
|
0.480
|
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: @Tweetermeyer The animated version was better
Emotion: joy
Intensity score:
|
0.088
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Incredible that Nawaz Sharif said Pakistan is victim of terrorism & talked abt development in Pak. Incredible how he controlled his laughter
Emotion: joy
Intensity score:
|
0.346
|
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: @Tomstarling86 He didn't have many chances to show what he can do but looked lively and had a good shot tipped over the bar before the end.
Emotion: joy
Intensity score:
|
0.360
|
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: @steenfox I'm feeling the exact same way. Also I read this in Akon's voice, it provided me with a hearty chuckle
Emotion: joy
Intensity score:
|
0.560
|
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: me taking a picture by myself: *awkward smile*\nme on picture day: *awkward smile*\nconclusion: stop smiling ;'(\n#pictureday2016 #smile #ornot
Emotion: joy
Intensity class:
|
1: low amount of joy can be inferred
|
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: How many tweets is that now? How fast was I going? God, I love being #sober and #intelligent.
Emotion: sadness
Intensity score:
|
0.312
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing 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: @mylittlepwnies3 \n> #terrorism coffee addict\n> blocks cats, writers, artists and hedonists
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: Ffs 🙈 when things come back to haunt you... cringe bad cringe 🙋🏼👀🔫 👈 what a terrible gun that is
This tweet contains emotions:
|
anger, disgust, fear
|
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: i'll get my revenge soon
This tweet contains emotions:
|
anger, disgust, optimism
|
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: I WANNA GET UP AND DANCE!!!! (but everyone is in bed) this sucks! Everyone wake up!! 😯 #hyper #happy #letsdance #dirtydancinginthemoonlight👌
This tweet contains emotions:
|
joy, love, optimism, surprise
|
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: Stop tracking back you fucking potato faced cunt errrr infuriating 😠😠😠😠😠 #angry #Rooney #mufc
This tweet contains emotions:
|
anger, disgust
|
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: Caballero having a nightmare #sweeperkeepernot
Emotion: fear
Intensity score:
|
0.661
|
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: also other ppl who i love a whole damn lot; erica, joanna, tiff, sirli, harley, anja, (the rest of the gc bc i ran out of chara!)
Emotion: anger
Intensity score:
|
0.375
|
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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed
This tweet contains emotions:
|
joy, optimism
|
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: Y'all do the most on twitter and snap
Emotion: anger
Intensity score:
|
0.396
|
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: @twojacksdetail @bluelivesmtr Very rare an officer just shoots without regard. They don't want that on their conscience. #incite #inflame
This tweet contains emotions:
|
anger, disgust
|
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: Bring on my interview at hospital tho 🙈🙈 #nervous
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
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: @joeyskawaii i know i don't know u, but physiatrists are seriously the number one best thing for people with anxiety.
This tweet contains emotions:
|
fear, optimism
|
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: @ibishotelsuk @ibisHotels_FR @ibishotelbr @ibishotel @ibishotelBDG @ibishotel1 to give me my keys back. They aren't for my house! #shocking
Emotion: fear
Intensity class:
|
1: low amount of fear can be inferred
|
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: @MacDsmash you should get some @SSB_Swedish delight
Emotion: joy
Intensity score:
|
0.404
|
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: Cuddling literally kills depression, relieves anxiety, and strengthens the immune system.
This tweet contains emotions:
|
optimism
|
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 @swagrman_fan #lively #musically
Emotion: joy
Intensity class:
|
1: low amount of joy can be inferred
|
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: Being stuck in the roof of your house provides amazing view but sheer terror of falling down, kinda like life
Intensity class:
|
0: neutral or mixed emotional state can be inferred
|
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: @MHChat if we don't understand how to express our emotions to others, may lead to sadness / loneliness & neg impact on long term mh #MHChat
Emotion: sadness
Intensity score:
|
0.562
|
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: I need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕 #tiff
This tweet contains emotions:
|
joy, love
|
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: It's easy to #fall #asleep in class, but hard to in bed. #True #sober #whileyouweresleeping #insomnia #TeamFollowBack #RockTheReTweet
Emotion: sadness
Intensity score:
|
0.500
|
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: Good morning joyful people. Choose happiness to have a great day today #morning #happiness #grandmercurejktkemayoran
Emotion: joy
Intensity score:
|
0.720
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: @BrandedByCas I was like that when I started college. It was horrific but it probably will get better. Don't give up yet
This tweet contains emotions:
|
optimism
|
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: Thought the Xbox one s madden bundle would come with a physical copy of madden not a code😴 it's gonna take fucking forever to download lol
Emotion: anger
Intensity class:
|
3: high amount of anger can be inferred
|
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: The irony in that last is that Republicans - more likely to watch Fox News - distrust the news media more. Yet they can't see Fox's lies!
This tweet contains emotions:
|
anger, disgust
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: GKN so lively as well, mad quick
Emotion: joy
Intensity score:
|
0.320
|
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: How can I tell Happy Anniversary, when u are not happy.. #bitter #ampalaya #paitpaitanangpeg
Emotion: anger
Intensity score:
|
0.604
|
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: @ArizonaCoyotes not to mention the GRA guy stops me but let's the 2 ppl in front of me go. WTF. My blood is boiling.
Emotion: anger
Intensity score:
|
0.854
|
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: @AmericanAir I am irate at you check-in system. I have tried to checkin all day and it wouldn't let me do it because I had no seat assigned
Intensity class:
|
-2: moderately negative emotional state can be inferred
|
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: i just spent $40 on big little sis tomorrow and i am beyond happy about it #SAW #mirth #mums
This tweet contains emotions:
|
joy
|
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: Back on my
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @JohnKerry can be as indignant as he wants but the world knows Obama will do nothing and Putin will just do what he wants #Aleppo #Syria
Intensity score:
|
0.383
|
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: A pessimist sees the difficulty in every opportunity, an optimist sees the opportunity in every difficulty' -Sir Winston Churchill-
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
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: doing some testing with my current earth burst team
Emotion: anger
Intensity score:
|
0.375
|
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: @airtelindia have some issues with my broadband bill ,I am charged for the month before I signed up with airtel.. #hilarious
Emotion: joy
Intensity score:
|
0.340
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: I like talking to someone who makes me laugh, laughter is the best medicine
Emotion: joy
Intensity score:
|
0.646
|
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: 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 score:
|
0.820
|
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: Accept the challenges so that you can feel the exhilaration of victory. \n\n#MBMcLisse
Emotion: joy
Intensity score:
|
0.420
|
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: Study finds #awe & #wonder of something greater than self, leads to #creative boosts of expansive thinking. @outsideonline #write #thoreau
Emotion: fear
Intensity score:
|
0.146
|
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: #Drunk people annoy me when I'm #sober lol. | #fact #TeamFollowBack #RockTheReTweet
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: @ATrumping hahahahahaha!! Oh gosh. You are hilarious. A black man trying to keep racism alive. Get out of here man.
Intensity class:
|
2: moderately positive emotional state can be inferred
|
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: Watch this amazing live.ly broadcast by @maisiev #musically
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: @rubeseatsinfo from here, it's but a short step to biweekly Community Meetings over a hearty meal of soy flakes
Emotion: joy
Intensity score:
|
0.208
|
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: The moment you bring her to meet your best friend and you're nervous af! 😬😆 #nervous #thefriendtest
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
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: @DaddyION you and that awful music can take a walk... right off a cliff. K. 😘
Emotion: fear
Intensity score:
|
0.333
|
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: Texans played horrible. Bad play calling, bad protection of the ball, bad coaching, bad defense, bad overall performance. #Texans #horrible
This tweet contains emotions:
|
anger, disgust, fear
|
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: @tcarrels \nSo when exactly did you lose your mind, pal? \n #Trump #fraud #misogynist #liar #psychopath #narcissist #conartist
Emotion: fear
Intensity class:
|
1: low amount of fear can be inferred
|
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: @MeghanEMurphy Oh gosh, if you get 800+ raging comments from cruise fans, I will just die laughing!
Intensity class:
|
3: very positive emotional state can be inferred
|
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: @HumbleTeej @CourtneeHendrix even if he says nothing, he'll still piss some people off. He's gotta decide who he wants to make angry.
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: @CBSThisMorning @newsgirl123456 again, profiling DOESN'T discourage (September 20, 2016; 18:41 EDT) #TRUMP #FAIL
Emotion: fear
Intensity score:
|
0.375
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: @CP24 And I hope when the police met him at the subway that they took him straight to jail 😕
Emotion: fear
Intensity score:
|
0.583
|
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: The 'banter' from Craigen and Sutton on BT is fucking horrid
This tweet contains emotions:
|
anger, disgust, fear
|
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: American horror story in bed 👌🏼
Emotion: fear
Intensity score:
|
0.417
|
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: Pinky is so funny n jovial, bt she got emotional n just brought me 2 tears. I felt so bad for her #Ishqbaaaz
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @rockcock64 cum and despair
Emotion: fear
Intensity score:
|
0.604
|
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'm so bored and fat and full and ridiculously overweight and rolls galore #terrible
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: @Rosie #Strongwomen terrify #weakmen - don't let the #bully wear you down. Loving your consistency and truth in rough times Hang in there ❤️
Intensity class:
|
0: neutral or mixed emotional state can be inferred
|
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).
|
Tweet: ari looks hilarious oh my g d this is too much
Intensity score:
|
0.790
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: @msdhoni #dhoni bcoz of is calmness nd match winning finishers nd a proud #miltirian #dad#husband nd wonderful humanbeing nd his
This tweet contains emotions:
|
joy, love, optimism, trust
|
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: Sioux Valley wins home competitive #cheer invite with a score of 158. ...Dell Rapids second at 138
Emotion: joy
Intensity class:
|
2: moderate amount of joy can be inferred
|
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: @justinbieber Thank u Justin for this amazing concert. I can't believe that only u can provoke these thousand smiles these night#BelieveTour
Emotion: anger
Intensity score:
|
0.312
|
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: @THATSSHAWTYLO passed away early this morning in a fast and furious styled car crash as he was leaving an ATL strip club. That's rough stuff
Emotion: anger
Intensity score:
|
0.354
|
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: @cc_yandian @HillaryClinton her team must draw from a hat for daily personality #drugged #angry #yeller #quiet #screamer #😂😂
This tweet contains emotions:
|
anger, disgust, sadness
|
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: With loyal heart is concerned. #somber
Emotion: sadness
Intensity class:
|
3: high amount of sadness can be inferred
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: i made a squirrel friend today! i gave him the core of the plum i was eating. he seemed very happy.
This tweet contains emotions:
|
joy, love, optimism
|
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: @Idubbbz @LeafyIsHere I am offended
Emotion: anger
Intensity score:
|
0.542
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Glad I didn't watch smackdown because I can't see my men @JasonJordanJJ @WWEGable lose. #sohurt
Emotion: anger
Intensity score:
|
0.354
|
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: Annoyed with @TripAdvisorUK bullying me to download an app that eats my phone memory. Will seek alternative from now. #tripadvisor
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: When your rewatching glee and break down in tears all over again. 😭😢 #glee
Intensity score:
|
0.435
|
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: # ISIS REFERENCES SCRUBBED? Federal complaint against suspect in NYC, NJ bombings appears to omit terror names in bloody journ... #news
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
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: While we focus on issue of #IPCA @IHFOKids Indulges in #intimidation @BringRoshniHome @ChildrensIssues @MEAIndia @MinistryWCD #StopCruelty
This tweet contains emotions:
|
fear, optimism
|
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: @gypsydragoness chuckle. 'Any idea girl?' The dragoness let out a frustrated growl, blowing smoke out of her nostrils. The old man nodded +
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: @pikapies I have many happy memories of the Isle Of Wight.\n...\nBut yeah, sink that shit.
This tweet contains emotions:
|
anger, disgust, sadness
|
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: or when someone tells me I needa smile like excuse me ??? now I'm just frowning even harder are you happy
Emotion: sadness
Intensity score:
|
0.500
|
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: Great to meet @BrightonChoir @MJParanzino tonight. What a lively and enthusiastic bunch! Look forward to working with you again!
Emotion: joy
Intensity class:
|
3: high amount of joy can be inferred
|
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: Just seeing Alex revells face gets me angry
Emotion: anger
Intensity score:
|
0.583
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing 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: @JessicaValenti @nytimes I don't know... Wasn't punk mostly about white men throwing tantrums?
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
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