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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: It takes a man to suffer ignorance and smile. Be yourself, no matter what they say.
Emotion: anger
Intensity score:
|
0.271
|
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: @Dominos_UK worst thing is i have confimation from them
This tweet contains emotions:
|
anger, disgust, fear, pessimism
|
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: Said it before and I'll say it now: America is really fortunate that black people only want equality and not revenge.
Emotion: anger
Intensity score:
|
0.562
|
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: @jeremycorbyn @magstogether my god is @jeremycorbyn a full shilling? Seriously you need a major rethink or no lab gove in your lifetime #sad
Emotion: sadness
Intensity class:
|
3: high amount of sadness can be inferred
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: #TheWordOfGOD #taught, #preached #correctly will #ComfortTheAfflicted & #AfflictTheComfortable; it will #offend & #TellTheTruth #AboutSin!
Emotion: anger
Intensity score:
|
0.438
|
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 have no clue where my charger is... #lost
Emotion: sadness
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: @RegalisAzura \ngrasp the cobalt woman's own; which they did fairly easily. Fair cheeks would ignite into a fiery hue. Warm.. was the only
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: If my concerns & anxiety don't matter to you then I shall return the favor. #EyeMatter
This tweet contains emotions:
|
anger, fear
|
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: I'm slugging vitamin D pills by the handful, like they were m&ms. When will this eternal winter end?! #Melbourne #grim #overit
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness 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: @Gielnorian @HedonismGaming cmode grimrail made me want to eat angry bees
Emotion: anger
Intensity class:
|
3: high amount of anger can be inferred
|
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: I can't guess if you holding a grudge against the best'
This tweet contains emotions:
|
anger, sadness
|
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: @drunkejt almost all of my mutuals intimidated me at some point or still do
Emotion: fear
Intensity score:
|
0.479
|
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 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: It's an exhilarating feeling. Working hard and feeling accomplished whether they notice or not--- you feel fu*king good 🤑
Intensity class:
|
3: very positive 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: Gloriosa Bazigaga on #Rwanda work: 'I lost relatives in genocide but 15 yrs of peacebuilding has given me optimism it's within our power'
Emotion: joy
Intensity score:
|
0.200
|
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: and I'm up from a dream where I said something really retarded on twitter and it got like 10000 retweets #nightmare
This tweet contains emotions:
|
fear, sadness
|
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: @MoonPendent13 One of my friends has a fear of mirrors because he tried to summon Bloody Mary, and he thinks she's going to pop up any time!
This tweet contains emotions:
|
fear, pessimism
|
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: Someone throw a snap dance party for LO. Rest Up big Homie 🙏🏾
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: @julwhite chirp chirp! :)
Emotion: joy
Intensity class:
|
1: low amount of joy 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: I remember when Rooney wanted to leave United and the fans threaten to kill the man and bare junk... wanna regretting that now? 😂😂
This tweet contains emotions:
|
anger, disgust
|
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: Aw there's a young fox outside on the grass just jumping around all playful and having a little stretch 🙈 soo cute 🐺
Intensity class:
|
3: very positive emotional state can be inferred
|
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: 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...
This tweet contains emotions:
|
joy, love
|
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: Background. Suffered a bit at times of #stress. Always a bit #shy. About 8 years ago (aged 30) I was made redundant. That's when it started
This tweet contains emotions:
|
fear, pessimism, sadness
|
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: I love my family so much #lucky #grateful #smartassfamily #love
Emotion: joy
Intensity score:
|
0.936
|
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: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!!
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: Clash of the titans and wrath of the titans 🙌🏾🙌🏾🙌🏾 🔥
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
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: @NahteWilly @AFP that was neither intelligent, definitive or useful shall I name call or would you like to expand on how I have offend you ?
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: @IreneEstry can't wait to see you Hun #cuddles #gossip #laughter
Emotion: joy
Intensity class:
|
3: high amount of joy 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: @PrincessCasGirl @DaddyEllis__ tiff you better hurry cause 👀
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: Light of day per heyday popularization backfire cinematography: XUcQb
Intensity class:
|
-1: slightly negative emotional state can be inferred
|
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: Already plotting next steps if I get cut off by the same minivan in tomorrow's drop-off line. #preschoolpolitics #momthings
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
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: You forever straight so fix that frown u good😇 @amayyaaag__
Emotion: anger
Intensity score:
|
0.458
|
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 husband lost £800 when he booked an apartment through @Airbnb that didn't exist... @AirbnbHelp didn't care #nightmare #airbnbnightmare
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: @Lil_PowWow @jweiler0528 More fat = more buoyant. Day 1 water stuff
Intensity class:
|
0: neutral or mixed emotional state 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: @BIGGKATZ BUT arms (focused rage) is overpowered, it will be getting nerfed. It'll still be stronger than fury though
Emotion: anger
Intensity score:
|
0.468
|
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: Get to the gym and discover I forgot to put my gym shoes back in my bad 😤 #wwhhyyy
Emotion: anger
Intensity class:
|
2: moderate amount of anger 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: Collects all the times when Minerva would chew on his cape. Begins to shiver, runs a hand through his hair. \n\n'You can surely━\n@ardentflier
Emotion: fear
Intensity score:
|
0.521
|
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: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #sad #needsmoresleep
Emotion: fear
Intensity class:
|
0: no fear 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: @Budget car rental you have made realize why I always use @nationalcares!!!! What a #nightmare!! #disgusted
Emotion: fear
Intensity score:
|
0.729
|
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: Watch this amazing live.ly broadcast by @brooke_bridges #musically
Emotion: joy
Intensity class:
|
2: moderate amount of joy can be inferred
|
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: Blake lively is flawless
Emotion: joy
Intensity score:
|
0.380
|
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: @palmtreesarah @WorthingTheatre had more fun than the funniest person in funsville..... Much hilarity as usual.... Thank you ❤️
This tweet contains emotions:
|
joy, love
|
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 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: @Pamela_Moore13 @Ginlefebvre @BarackObama yes exactly & he's sold out this country to #terror while #lying to cover it up
Intensity class:
|
-2: moderately negative emotional state can be inferred
|
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: I think our defense here at USC is playing well, we just need to fix a few things on offense and we can win the PAC 12 this year'
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: I can't WAIT to go to work tomorrow with a high as fuck fever. [sarcasm]\nHopefully I'll feel better tomorrow.\nBut I doubt it. #pessimism
Emotion: sadness
Intensity score:
|
0.646
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels 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: Love this! Laughing while crying works too! #katherinemansfield #failure #dealingwithfailure
Intensity class:
|
0: neutral or mixed 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: @RichardHBell Yes, I think he held a grudge ...
Emotion: anger
Intensity class:
|
0: no anger 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: GKN so lively as well, mad quick
Emotion: joy
Intensity score:
|
0.320
|
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: Getting my comedic relief w/ @SofiaVergara during season premiere of #ModernFamily. Just what a girl needs!
Emotion: joy
Intensity score:
|
0.812
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels 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: @FlannelJedi This is why I drink and watch You're the Worst as a way to cheer myself up.
Intensity class:
|
0: neutral or mixed emotional state can be inferred
|
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels 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: It was very hard to stifle my laughter after I overheard this comment. It really is amazing in the worst ways.
Intensity class:
|
1: slightly positive emotional state 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: Write drunk. Edit Sober. \nForget to save. Wake hungover.\n#amwriting #sober
Emotion: sadness
Intensity score:
|
0.312
|
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: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' -Sherlock Holmes-
This tweet contains emotions:
|
anticipation, joy, optimism, trust
|
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: @BBs_Coffee somebody needs tell staff at Reading cappuccino is supposed to have a thick layer of foam and coffee should be hot #awful again
Emotion: fear
Intensity score:
|
0.458
|
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: #smackdev #ptp #start word
Emotion: fear
Intensity class:
|
0: no fear 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: Amateurs sit and wait for inspiration, the rest of us just get up and go to work.' -- Stephen King #authors #serious #writingtip
Emotion: sadness
Intensity class:
|
0: no sadness 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: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends #happy
This tweet contains emotions:
|
joy, love, optimism
|
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: @DDogsScout 'Oh!' Almost with odd cheerfulness, Big Boss offers: 'Muzzle flash blinding. Accidental by the guy who became my best friend.'
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: @MetsProspectHub @brianpmangan taking offense to acount...he ranks 32 of 36 over last 2 years by SABR
Emotion: anger
Intensity class:
|
0: no anger 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: I'm so restless
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
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: @eachus At least he's willing to discuss, better than most. That and keep the insults light with occasional levity or creative BS-ing,
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: If you ain't shaking no ass, don't ask me for my liquor. Rule #1..
Emotion: fear
Intensity score:
|
0.292
|
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: @westelm tells me my order will ship on Sept 12, arriving by Sept 19. Today is the 22. 😐 #lies #terrible #whereismyfurniture
Emotion: fear
Intensity score:
|
0.667
|
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: @BBHOH #terrible Paul so deserved that win!!! #bbfail
This tweet contains emotions:
|
joy
|
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: Loving @Speechless_ABC so far. Just hilarious and @driverminnie is wonderful. #hilarious #Bravo 👏🏻👏🏻
Emotion: joy
Intensity score:
|
0.750
|
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: All clouded out.\n\n Considering using a camera, 1) star trails 2) eyepiece projection.
Emotion: sadness
Intensity score:
|
0.250
|
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: I'm still laughing 'Bitch took my pillow' line #glee #kurt
This tweet contains emotions:
|
joy, love
|
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: The bitter the battle, the sweeter the victory...
Emotion: anger
Intensity score:
|
0.396
|
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: @Tweetermeyer The animated version was better
Emotion: joy
Intensity score:
|
0.088
|
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: @KWAYNTjoia it's exhilarating
Emotion: joy
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: @INCIndia Oh please! INC talking about looting! I'm not saying #BJP is pure but this is such a #hilarious #irony! @BJP4India is def better!
Emotion: joy
Intensity class:
|
2: moderate amount of joy can be inferred
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Having one of those #angry days. I will have to stop watching #news.
Emotion: anger
Intensity score:
|
0.625
|
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: @comcast you charge 150 extra for sending someone out and your cable service still doesn't work. That's robbery. #cable #service
Intensity class:
|
-3: very negative emotional state 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: @BurmanAJ @AMANDAZUCKERMAN I'd rather see KYLE from bbcan play again and THAT is saying something
Emotion: fear
Intensity score:
|
0.333
|
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: Way to get a hold of her 😊 #depressing
Emotion: sadness
Intensity score:
|
0.540
|
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 asked Jared to marry me and he said no.
This tweet contains emotions:
|
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: @WelshGasDoc @PlaidCymru supporter @reesmarshall239 #prejudice against #disabled people #disabledlivesmatter #bbcnews #skynews
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: Thank you @Pret 4 giving me a free coffee for bringing my reusable cup to the airport because it was 1st time you saw one. But #depressing
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness can be inferred
|
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: Be happy not because everything is good, but because you can see the good side of everything
This tweet contains emotions:
|
joy, optimism
|
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: what to wear Friday \nspeaking in front of 100's. #nervous
This tweet contains emotions:
|
fear, pessimism
|
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: Marcus Roho is dreadful
Emotion: fear
Intensity score:
|
0.458
|
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
|
Tweet: @KevinI @GGGBoxing @SpecialKBrook pretty average, klitschko fury did about 600k and Joshua white did about 450k
Intensity score:
|
0.417
|
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: Stuck in a infuriate scrum about hegemonists. #infuriate #scrum #scrum #Stuck
Emotion: anger
Intensity class:
|
3: high amount of anger can be inferred
|
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: Oh my. Watching #rage. It's been like, ages
Emotion: anger
Intensity score:
|
0.250
|
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: 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 #anxiety
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
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: Fewer and fewer good horror offerings from Hollywood every year. Or have I just gotten too old for this shit?
Emotion: fear
Intensity score:
|
0.292
|
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: @PatriotsInform I don't see why you think we'll have a dumbed down simplified offense with Brissett. He comes from a very complicated system
This tweet contains emotions:
|
anticipation, disgust
|
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: Town is lively. Something happen?
Emotion: joy
Intensity score:
|
0.354
|
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: @Jen_ny69 People will always get offended everyone's situation is different! Just because we have kids doesn't mean we have to settle
Emotion: anger
Intensity score:
|
0.562
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @Bell @Bell_Support Cancelling home Fibe, Internet and TV this afternoon - as soon as I can arrange alternate Internet. 2/2 #angry #fedup
Emotion: anger
Intensity score:
|
0.484
|
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: Aidy: *has a physics question*\nAidy: '... ok, I'm not gonna ask Tristan cause I don't wanna aggravate her'
This tweet contains emotions:
|
anger, anticipation, disgust
|
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: But uncle buck is on tho . #UncleBuck #hilarious
Emotion: joy
Intensity class:
|
1: low amount of joy 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: Hello fellow #horror #creepy #dark #stange #story fans, how's your day? #followme and I'll #followback
This tweet contains emotions:
|
optimism, surprise
|
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: Oh goodness I'm loving this rainy day. It's a head down, #creative cap on, & get #lost in your #thoughts kind of day 💭 ☺️ #art #create #biz
This tweet contains emotions:
|
joy, love, optimism
|
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: And I won't even get started with Hillary and her fancy fundraisers! #depressing
Intensity score:
|
0.210
|
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: Love this! Laughing while crying works too! #katherinemansfield #failure #laughter #dealingwithfailure
This tweet contains emotions:
|
joy, love, optimism
|
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: Patti seems so sad. She stamped and ran behind the sofa. We will have to give her plenty of love and affection...more than usual. #sad
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: Watch this amazing live.ly broadcast by @arbitraryvlog #musically
Emotion: joy
Intensity score:
|
0.462
|
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: @rumanaa_r @DaiIyRoasts what did I do to offend you? 🙄😭😂
Emotion: anger
Intensity class:
|
1: low amount of anger can be inferred
|
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: How is it suppose to work if you do that? Wtf dude? Thanks for pissing me off.
This tweet contains emotions:
|
anger, disgust
|
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: @EagleGiles23 @tgilmore_92 what I miss? #outrage
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
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