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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: With only 7 months left until I possess my undergraduate degree, I feel like I can't handle adulthood anymore #anxiety #nojobsinbiology
Emotion: fear
Intensity class:
|
3: high amount of fear 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: @TMobileHelp my service is down in Cleveland, OH. What's going on? #unhappy
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: You got some dick recently right, you're happy, you're not sick and you're smiling. Life is good' πππ
Emotion: joy
Intensity score:
|
0.520
|
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: @GMModular @goldmedalindia horrible experience with a company like this #goldmedal #horrible sales person #wrong commitments#wrongproduct
Emotion: fear
Intensity score:
|
0.542
|
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: @KWAYNTjoia it's exhilarating
Intensity class:
|
0: neutral or mixed emotional state 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: i'm... nervous about this test rip
Emotion: fear
Intensity score:
|
0.912
|
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: Yeah I'm hot nigga, they say im burning uhhhhh
Emotion: anger
Intensity score:
|
0.509
|
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: Athenian: When mirth is the order of the day, he ought to be honoured most who gives most mirth to the greatest number (Laws)
This tweet contains emotions:
|
joy, optimism
|
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: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
This tweet contains emotions:
|
disgust
|
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: @SquishyJiminie aww thank you!! I'm definitely feeling much better today and your messages cheer me up too βΊοΈ
Intensity class:
|
2: moderately positive emotional state can be inferred
|
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: @ToyStoriesInt They look FAB, they were made for the big screen!Can't wait to see this evolve & the bright future of these little toy people
This tweet contains emotions:
|
anticipation, joy
|
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: Checked-in for my flight to Toronto. Took seat 3D just to infuriate @perpetualgeek.
Emotion: anger
Intensity score:
|
0.458
|
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: myself that despite the absolute delight my children and I would feel having a kitten in our home, the misery my husband would feel is more.
Intensity class:
|
-1: slightly negative 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: @CallofDuty how do u guys determine teams? Cause I'm 80% on shitty teams when I play and I'm fuckin over it #cod
Emotion: anger
Intensity score:
|
0.729
|
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: Once again the only thing on my feed is naay raging about something and my brother filling in all the gaps
Intensity class:
|
-2: moderately negative emotional state can be inferred
|
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: @debutemma I dont have to sit here and take this from u spry young children
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @pete_ferriday Aww rest your weary head here
Emotion: sadness
Intensity class:
|
0: no sadness 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: As if he heard my thought on the ether, my #ex has just posted #facebook pic of himself snuggling up with said #cats... now Im just
Emotion: anger
Intensity score:
|
0.438
|
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: Watch this amazing live.ly broadcast by @katyy.mae #musically
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: Remember your journey is unique! Don't get discouraged because you're comparing your journey to someone else's. You will get there!
This tweet contains emotions:
|
anticipation, joy, optimism, trust
|
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: We ashamed of being an ally to you. Pakistan sacrificed almost 50000 civilians by siding you in war on #terror @JudgeTedPoe
This tweet contains emotions:
|
anger, fear
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @KseniaSolo hi little late to lost girl but think you awesome from South Afrikaans:-)
Emotion: sadness
Intensity score:
|
0.229
|
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: Pakistan is the biggest victim of terrorism - Nawaz Sharif \nReally? It should have been biggest creator of terrorism. #UNGA
Emotion: fear
Intensity class:
|
2: moderate amount of fear 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: @AiringOutMyScro \n\n'We'll see, once you're a few drinks in.' \n\nA playful wink is passed to him and, as they pull up into the small lot of -
Emotion: joy
Intensity score:
|
0.438
|
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: @Joey7Barton I remember Joey slagging England player's off bringing out books after crap tournaments..same same..crap player #bully
This tweet contains emotions:
|
anger, disgust
|
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 really hate Mel and Sue. They think they're hilarious and they're just awful
Emotion: fear
Intensity class:
|
0: no 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: light shining thru a clear sparkling stream of piss ,is a sight women will never know of(also tells tht system ure system is healthy)
Emotion: joy
Intensity score:
|
0.417
|
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: @tgshepherdvan I'm not there yet. Hasn't sunk in yet. Rest up.
Emotion: sadness
Intensity class:
|
2: moderate 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: Trying to book holiday flights on @britishairways website is becoming a
Emotion: fear
Intensity score:
|
0.312
|
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: @DamnPatriot You're a POS for rejoicing in someone's death.
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
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: @EASPORTS_MUT fix this home/away deptch chart invalid glitch. I have to close madden and re-open it everytime this happens
This tweet contains emotions:
|
anger, disgust
|
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: @LakersTakeover it ain't that serious. #HOUvsNE #awful #igotbetterthingstodotonightthandie
This tweet contains emotions:
|
anger, disgust
|
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: @lhbrown1990 @Jimcummingsacme I'm afraid to look!
Emotion: fear
Intensity class:
|
3: high amount of fear 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 I must scare my coworkers when I'm eating like a rabid animal on my breaks #srry
This tweet contains emotions:
|
disgust, fear, sadness
|
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: Another L on the board we just cannot match up on paper with these teams at the moment and its showing on the field. Onto Denver
Emotion: anger
Intensity score:
|
0.521
|
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: @coopah Worst than going to the morgue to do a positive ID. #horrible Reuters
Emotion: fear
Intensity score:
|
0.688
|
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: βFocusing primarily on the person youβre talking to rather than yourself and the impression youβre making lessens social anxiety.
Emotion: fear
Intensity class:
|
0: no fear 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: I stepped into the shower and my spidey senses tangled. I immediately looked up and saw a spider directly above my head. #terror
Emotion: fear
Intensity class:
|
3: high amount of fear can be inferred
|
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: @BBHOH #terrible Paul so deserved that win!!! #movie #ChildrenOfMen.\n\n#cages #refugees
This tweet contains emotions:
|
anger, disgust, 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: @BrianaBanksxoxo I send ya a few #playful nibbles π
Emotion: joy
Intensity score:
|
0.700
|
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: @B4caferacer I see things in the clouds that others can't see so I can #elate
Emotion: joy
Intensity score:
|
0.625
|
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: I'm watching joyful noise for 100000000 time cuz I love this movie and @KekePalmer
This tweet contains emotions:
|
joy, love, optimism, trust
|
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: @ananavarro @tcarrels most of Trump supporters have not clue about the meaning of the words they used just like him #sad #nevertrump
This tweet contains emotions:
|
disgust, pessimism, sadness
|
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 stopped watching gotham cause they dropped off tabitha and barb's relationship and made her pine after the main
This tweet contains emotions:
|
disgust, sadness
|
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: @doctorofinfo I was just introducing a little levity to the convo. Yep!
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: And thus begins my 2 week holiday! ππ\n #holiday #ghastinoir #rest
This tweet contains emotions:
|
joy, love, optimism
|
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: Yall rlly gotta stop lettin bees put fear in ur heart. unless ur allergic, I'm not tryna see u run around from a fuckin bee...chill. u soft.
Emotion: fear
Intensity class:
|
0: no fear 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: it's so breezy out today, i can't go to back to school night with bare legs like i've had all day
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: I've watched @ScreamQueens' 2nd Season's 1st episode twice already. And here I am, still joyful, planning on watching it again.
Emotion: joy
Intensity class:
|
3: high amount of joy 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: @rihaBabyJ Aw no problem. I just felt like speaking because I felt the same before and I want you to overcome it and not be discouraged. :)
Intensity score:
|
0.484
|
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: @cotsonika @NHL well, they should all be unhappy for the way they played. Right @fmjacob ??
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness 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: Yo Yo Yo,my name is #DarthVader \nI feel like I need to puff on my inhaler (I'm no rapper but that was some sick bars) #bars #rap
This tweet contains emotions:
|
disgust, sadness
|
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: The amount of laughter ready to leave my body if United lose is unreal
Emotion: joy
Intensity score:
|
0.500
|
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: The #most wasteful day is a #day without #laughter
This tweet contains emotions:
|
joy, optimism
|
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: Never ever been this unhappy before in my life lmao
Emotion: sadness
Intensity score:
|
0.771
|
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: Eating an egg is grim, you are eating the material embodiment of a fart and an unborn chick
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness 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: @Onision @Eugenia_Cooney annoyed by the good loving fans of Onision including myself Is really annoyed at how people just are too cheerful.
This tweet contains emotions:
|
anger, disgust
|
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: @MegMuphet I wasn't meaning to offend you. I was saying from personal experience. Kids got placed into these classes and they take advantage
This tweet contains emotions:
|
optimism
|
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: @Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE.
This tweet contains emotions:
|
anger, disgust, joy, optimism
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: This whole #VanRE + extradition might turn into a Pandora's box. JT has no idea about that murky corrupt guanxi in China; Toad vs Dada ;-)
Intensity score:
|
0.379
|
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 just killed a spider so big it sprayed spider guts on me like a horror movie.\n #ugh
Emotion: anger
Intensity score:
|
0.341
|
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: Im so angry ππ
Emotion: anger
Intensity class:
|
3: high 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: Yeah, no. I don' mind tweetin' that twice. #snap #blm #likeThat
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: ο± @cailamarsai you've had me ο ο the whole time watching @black_ishABC after you've lost your #glasses! It was #hilarious! @mrbabyboogaloo
Emotion: joy
Intensity score:
|
0.812
|
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: We so elated, we celebrated like Obama waited until his last day in office to tell the nation, brothers is getting their reparations
This tweet contains emotions:
|
joy
|
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: There's always that one song which makes you turn of the radio, as you'd rather sit in silence π‘
Emotion: fear
Intensity score:
|
0.375
|
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: The patriots have the lamest color rush jerseys in the whole nfl #madden (I hope they wear them tonight)
Emotion: anger
Intensity score:
|
0.396
|
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: @JackAndJack I'm so lively for listenππ
This tweet contains emotions:
|
joy, optimism
|
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
|
Tweet: gifs on iOS10 messaging app are hilarious.
Intensity score:
|
0.654
|
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: A persons opinion doesn't offend me at all
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
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: In serious need of a nap
This tweet contains emotions:
|
anticipation, sadness
|
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: .@LEAFYSZERKER @markiplier is that an insult? Sounds like a job well done. it's red so it's done the job it was suppose to do #justsaying
This tweet contains emotions:
|
anger, surprise
|
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.
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Tweet: @HuffingtonPost huff i know your pro-hillary and so is CNN and MSNBC, but they made no mention of this, this statement would be gold for em
Emotion: anger
Intensity class:
|
2: moderate 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: @torreBe Te gusta American horror story y The walking dead?
This tweet contains emotions:
|
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.
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Tweet: tesco. why OH why cant my Visa electron be accepted on line , I am 55 , NOT 15 ??
Emotion: fear
Intensity class:
|
0: no fear 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: Accept the challenges so that you can feel the exhilaration of victory.' - George S. Patton
Emotion: joy
Intensity score:
|
0.500
|
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: @LethalWeaponFOX This show SUCKS! #lame #awful you even used the same names?? lol SO SO bad! #Failed #notworth2minutes. Off air SOON
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @PrinceJumbo You're welcome and thank to you likewise! What are you hoping to learn, like your no 1 concern?
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: Woah. That overtime was exhilarating! Out of my seat and the hands on mackinnon wow #WCH2016
Emotion: joy
Intensity class:
|
3: high 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: My friends tell me I'm pretty. Trigger tells my I'm ugly. I first was confused but then realised I'm both. Pretty ugly. #tru #tumblr
This tweet contains emotions:
|
joy, 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: Happy Birthday Roy Buchanan, born on this day in 1939. #roybuchanan #guitar #blues #happybrithday
Emotion: sadness
Intensity class:
|
0: no sadness 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: I want to be a woman who #overcomes obstacles by tackling them in #faith instead of tiptoeing around them in #fear. Renee Swope
Emotion: fear
Intensity score:
|
0.312
|
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: @maggyvaneijk Old age?! No hope for the rest of us. Destined to become deatheaters by 50 #nightmare
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: Bloody parking ticket ππΈ
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: Throwback to when Khloe Kardashian was a host on The X Factor and she was fucking terrible at it
Emotion: fear
Intensity class:
|
0: no fear 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: Greatest sign of trust is me giving you my laptop or phone without hesitation
This tweet contains emotions:
|
love, trust
|
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: @ksmitely @CitizenMeh I feel strongly that we need to work together to right this dreadful wrong.
Emotion: sadness
Intensity score:
|
0.415
|
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: $FOGO max pessimism here and no bottom (yet). Has a solid PE ratio for a restaurant. Let's catch it at 8 level or 10 level if it comes.
This tweet contains emotions:
|
joy, pessimism
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Another joyful encounter in Tribez & Castlez! I just met Bartolomeo! Do you want to know who that is? Download the game and find out!
Emotion: joy
Intensity score:
|
0.667
|
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: Never a dull moment when talking to Nell πππππ
Emotion: sadness
Intensity class:
|
0: no 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: Feel so grim + ugly atm
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: This maybe a new start but it will always be align with the end. #start #forward
This tweet contains emotions:
|
anticipation, joy, 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: Greatest sign of trust is me giving you my laptop or phone without hesitation
Emotion: fear
Intensity class:
|
0: no fear 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: pray for my boy huff
Emotion: anger
Intensity class:
|
0: no anger 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: promise of restoration to the nation of israel...'everywhere you look blessing '..barns/wine overflow.Everything beautiful #do_u_see
This tweet contains emotions:
|
joy, optimism
|
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: Don't be #afraid of the space between your #dreams and #reality. If you can #dream it, you can #make it so
This tweet contains emotions:
|
fear, optimism, trust
|
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: Leeds surely to drop the prices for that cup tie, rather than the dismal attendance last night..
Emotion: sadness
Intensity score:
|
0.479
|
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: lol! no mention of pak PM or even his speech on any international news channel and pakis are rejoicing as if the world stands with them
Emotion: joy
Intensity class:
|
0: no joy 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: @TelegraphNews why is this evil corrupt fuck still knocking about? The wrong people die I'm telling you. Do you job grim reaper!
This tweet contains emotions:
|
anger, disgust
|
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: @EurekaForbes U got to b kidding me. Anu from your firm responded when I sent the contact details. #terrible #customerexperience
This tweet contains emotions:
|
anger, disgust
|
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