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Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: Eating an egg is grim, you are eating the material embodiment of a fart and an unborn chick
This tweet contains emotions:
|
anger, disgust, pessimism, sadness
|
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: @dc_mma @ChampionsFight think shes afraid to fight Holly. One can only imagine what goes through her head when she thinks of Cyborg #terror
Emotion: fear
Intensity class:
|
0: no 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: @SiobhanSynnot Oh, good God. Quentin Letts is doing one of his 'comedy' turns. #angry @bbcthisweek @afneil #BBCTW
Emotion: anger
Intensity score:
|
0.500
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: It's better to be wetter than it is to be dry' jesus christ Val don't be shy hen ππ #GBBO
Emotion: fear
Intensity score:
|
0.271
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @mar_de_palabras But I do think we need to experience a bit madness & despair too. This is the stuff that makes us human.
Emotion: sadness
Intensity score:
|
0.521
|
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: #Charlotte's #young & #restless; I applaud ur fire bt always b respectful of authority, police, elders, parents. Violence, not the way ππ½βπ½οΈ
This tweet contains emotions:
|
anticipation, disgust, fear
|
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 abysmal ignorance, frivolity and levity of the Italian priests stupefied him.' - Roland Bainton on Luther, #ReformationDay
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: Sanatana Lopez is definitely me π #glee
Emotion: joy
Intensity score:
|
0.625
|
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 live and die for mchanzo honeymoon crashing and burning the second they move in together
Emotion: anger
Intensity class:
|
2: moderate 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: @sundersays made me laugh, that quote. In a sort of rueful way.
This tweet contains emotions:
|
joy
|
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: @lefluerr Lol yeah I read that but I stayed up and didn't nap tillI collect 3 people who I think they've got me ππ!!
This tweet contains emotions:
|
joy
|
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: @JOjojosiejay or in my case a raging moody cow lol why i buy moody cow socks lol
Emotion: anger
Intensity class:
|
0: no anger 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: @stephenfhayes Mustard gas = hostile work environment, not #terrorism; call #OSHA not #military
Emotion: fear
Intensity score:
|
0.708
|
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: Happy Birthday, LOST! / #lost #dharmainitiative #12years #22september2004 #oceanic815
Emotion: sadness
Intensity score:
|
0.271
|
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: @Jake_Martin74 Oh and I play it capo 2nd fret in a G position RS
Emotion: sadness
Intensity score:
|
0.292
|
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: @dfkm1970 @tomddumba the struggle is real. Whoa! I worry for the younger generation π
This tweet contains emotions:
|
fear, pessimism, sadness
|
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: @EAMaddenNFL @EASPORTS I played a game where John Elway was sacked 3x and fumbled all 3x. Is this the same John elway I know of???
This tweet contains emotions:
|
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: @amstrado_CPC @ShittySUFanart the single tear is him being joyous that he's deleted the monster that has brought generations of despair
Emotion: joy
Intensity score:
|
0.317
|
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: Just want Saturday to be over but then again I want to do good #LSAT #nervous
This tweet contains emotions:
|
anticipation, fear
|
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: @morgannbroom yes β€οΈβ€οΈ & cheering homecoming game!
This tweet contains emotions:
|
joy, love, 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: @NeoFundie @fitchest Ha. Right. I'm from San Jose, CA, and I was offended right there with you. Dave, go on a walk or something next time.
Emotion: anger
Intensity score:
|
0.831
|
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: It's hard to not cheer for team North America since US got taken out.
Emotion: joy
Intensity class:
|
0: no joy 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: Season 3 of penny dreadful is on Netflix...well my afternoon is filled
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: To all who follow me, whether we've ever talked or not hope you have a joyous life. Goodbye.
Emotion: joy
Intensity score:
|
0.458
|
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: Who allowed Pereira to start taking all the set pieces? fuming
This tweet contains emotions:
|
anger, disgust
|
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: Turkish exhilaration: for a 30% shade off irruptive russian visitors this twelvemonth, gobbler is nephalism so...
Emotion: joy
Intensity class:
|
1: low amount of joy 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: @RealKyper @NHL watching the jubilant scrum at the end of the day and remembering they're all still kids! #priceless
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: This room is rather dreary, but we endure what we must.
Emotion: sadness
Intensity score:
|
0.708
|
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: Somebody who has braved the storm is brewing. #cheerful
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: @laura221b I've left it for my dad to deal with π My work is done as soon as it's felt the wrath of my slipper π·
Emotion: anger
Intensity score:
|
0.521
|
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: @InfluensterVox @irontekfit I love my #IronTekFit protein shake in the morning before yoga! #ESVoxbox
Emotion: fear
Intensity class:
|
0: no 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: @RussiaInsider Really sad & surprising. 1 side #Russia fighting against #IS & on the other supporting #Pak which is epic centre 4
This tweet contains emotions:
|
pessimism, sadness, surprise
|
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: An adviser to the #European #Unionβs top #court said #Hamas and the #Tamil #Tigers should be taken off the EUβs #terror list.#lka
This tweet contains emotions:
|
fear
|
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: F'n morons u23 SMFH can't just be lackadaisical
Emotion: sadness
Intensity score:
|
0.417
|
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: She is someone who rolls persuasion under intimidate and awkwardly wins. ALL THE TIME.' @sourfruitjunkie on @JakiDash.
Emotion: fear
Intensity score:
|
0.542
|
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 can't believe @HoustonTexans can't put up even 3 points on @Patriots #horrible #hugeletdown
Emotion: fear
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: Shame on you @SkyNews showing an elephant being hunted and killed, #shocking
Emotion: fear
Intensity score:
|
0.729
|
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: @_MariaPetrova should have stopped after 'smiled'. Being rude=not the same as being funny.It was just being mean #stoppickingonwomen
This tweet contains emotions:
|
anger, anticipation, 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: So Mary Berry, Mel and Sue have gone with their principles, and @PaulHollywood has gone with the fame and fortune. #GBBO #depressing
This tweet contains emotions:
|
fear, pessimism, sadness
|
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: Fuck yall @Panthers for hiring that GOP PR guy to discourage Cam from speakinh his mind and heart about racism
This tweet contains emotions:
|
anger, disgust, 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: @MMASOCCERFAN @outmagazine No offense but the only way this makes sense is if you work for the magazine. Otherwise,who are you apologizing 4
Emotion: anger
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: Nawaz Sharif's UN should start #ΰ€Έΰ€€ΰ₯ΰ€―_ΰ€¬ΰ₯ΰ€§_ΰ€―ΰ€Ύΰ€€ΰ₯ΰ€°ΰ€Ύ as after all his #UNGA speech has awaken the world about their role in sponsoring
Emotion: fear
Intensity class:
|
0: no fear 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: Why does having anxiety drain some much of your energy #sotired #needtosleepforhours
Emotion: fear
Intensity score:
|
0.667
|
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: Donnie trumpeter is a vapid and vacant vile viper slithering through the landscape and playing on the gears of the fearful and afraid.
Emotion: fear
Intensity class:
|
1: low amount of 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: And I would advise that everyone wait to watch @KevinCanWaitCBS ,or actually don't wait, just don't even watch it because it is #awful
Emotion: fear
Intensity score:
|
0.229
|
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: @comicfire The thing is, it's either I be unproductive and unhappy, or deal with some videos that do badly.
This tweet contains emotions:
|
pessimism, 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: This is the day You've made, \n\nLet us rehoi rejoice and be glad with all that I am. \n\nππ\n\n#aja \nGood morning!!!!
Emotion: joy
Intensity class:
|
3: high amount of joy 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: @Ms_Asia_Pacific @jgsuing @PilosopoTanya @HuffingtonPost @HuffPostPol as a fellow UP grad, i shiver at the shallowness of his arguments
This tweet contains emotions:
|
anger, disgust, fear
|
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: Today is the first time any math professor let us live early before the class time !!! #15 min #feelsgood #happy #wednesday #
Emotion: joy
Intensity score:
|
0.827
|
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: @partydelightsUK it's 5679787. Cannot DM you as we don't follow each other. Not such a #delight #party #fail #letdown
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: @nadinekellman yes I can. Don't discourage me.
Emotion: sadness
Intensity score:
|
0.292
|
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: Just because I'm hurting \nDoesn't mean I'm hurt \nDoesn't mean I didn't get \nWhat I deserved \nNo better and no worse #lost @coldplay
Emotion: sadness
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: Lucina, that's fantastic! When you feel cheery, we ALL feel cheery!
This tweet contains emotions:
|
joy, love, optimism
|
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
|
Tweet: Does anyone remember a movie that is animated in the late 70's called Shame of the Jungle John Bulushi was in it wild if that's your taste
Intensity score:
|
0.500
|
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: How can America be so openly embracing racism.
Emotion: fear
Intensity score:
|
0.604
|
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: @moore_oliver it's funny how they can be in such a hurry but have plenty of time to stop and threaten people
Emotion: fear
Intensity class:
|
0: no fear 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: The #sober equivalent of being in a #bar women's restroom is the #salon. Everyone compliments each other & become friends. I love it
This tweet contains emotions:
|
joy, love, 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: @Koishiteruze she was scare not knowing what to do
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: i hope this comes back to haunt you, then maybe you would know just how it felt to be like me at my lowest
Emotion: fear
Intensity class:
|
2: moderate amount of fear 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: Michael Carrick should start every game for United and England
This tweet contains emotions:
|
anticipation, optimism, trust
|
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
|
Tweet: @julwhite chirp chirp! :)
Intensity score:
|
0.548
|
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: Marcus Roho is dreadful
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive).
|
Tweet: So they #threaten to kill #kapernick for KNEELING. I say every athlete just stop playing until social justice and equality comes forth.
Intensity score:
|
0.375
|
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: Boy oh boy! our weekday schedule is crazy! But no matter how tired I am I do whatever it takes to keep the smile on Kai's face from a frown
This tweet contains emotions:
|
joy, love, optimism
|
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: @RelUnrelated While I do not see Sailer Mars being a raging liberal, I doubt that she would say such a thing.
This tweet contains emotions:
|
pessimism
|
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: Live simply. Dream big. Be grateful. Give love. Laugh lots. - Unknown #quote #inspiration
Emotion: joy
Intensity score:
|
0.522
|
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive 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: @_jamiebraidwood haha, horrific is all that needs to be said. Glad I'm away to Spain on Sat so missing game πΉππΊββ
Intensity class:
|
0: neutral or mixed emotional state 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: Riggs dumb ass hell lolol #LethalWeapon
Emotion: joy
Intensity class:
|
0: no 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: @moocowward @mrsajhargreaves @Melly77 @GaryBarlow if he can't come to my Mum'a 60th after 25k tweets then why should I π #soreloser
Emotion: anger
Intensity score:
|
0.646
|
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: @n_harrill awe! Thank you! ππ
Emotion: fear
Intensity score:
|
0.208
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: I want to slide into the dms but im too fucking shy #shy
Emotion: fear
Intensity score:
|
0.667
|
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: Starting to get butterflies in our tummies about tomorrow...who will win?! #nervous @IPMCOGSAwards
Emotion: fear
Intensity score:
|
0.771
|
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: @BBHOH #terrible Paul so deserved that win!!! #movie #ChildrenOfMen.\n\n#cages #refugees
This tweet contains emotions:
|
anger, disgust, sadness
|
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: It is no coincidence that Lacan recorded infants' jubilant reactions to their mirror images in the noise.
This tweet contains emotions:
|
sadness
|
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: @headfirst_dom I often imagine hoe our moon would feel meeting the jovial moons which are all special
Intensity class:
|
0: neutral or mixed emotional state 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.
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Tweet: @HoustonTexans just trying to go home tonight? A run on 2nd and 20 and a run on 3rd and 20? That's what champs do...#sike #losers #terrible
This tweet contains emotions:
|
anger, disgust, pessimism
|
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: @CornerBakery Sorry I missed you :) I stayed up late working and pondering life
Emotion: sadness
Intensity score:
|
0.542
|
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: I'm going to get the weirdest thank you note--or worse--total silence and no acknowledgement. #anxiety
Emotion: fear
Intensity score:
|
0.812
|
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: @tomsteinfort expected i thought
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: @Deadspin @Rlblack1Rob My guess is he's just a convenient target for misplaced anger. What they're really mad at is how they played.
Emotion: anger
Intensity score:
|
0.521
|
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: #GetSmartWithARQ is a smart way to start investing and #whiteicenetwork is smart source 2 #start #skilled #manpower #recruitment for ur firm
This tweet contains emotions:
|
anticipation, joy, optimism, surprise
|
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: Can't wait to be in my Ninja turtle costume raging at OSU again this Halloween π
Emotion: anger
Intensity score:
|
0.375
|
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: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #challenge #kashmir #baloch
This tweet contains emotions:
|
joy, love, 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: If Monday had a face I would punch it #monday #horrible #face #punch #fight #joke #like #firstworldproblems #need #coffee #asap #follow
Emotion: fear
Intensity score:
|
0.500
|
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: #PeopleLikeMeBecause of some unknown reason but I try to discourage it
Emotion: fear
Intensity score:
|
0.417
|
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: @KingNicky7 also madden isn't the funniest game to watch and if there isn't much happening it's boring
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: Come here, let me do whatever I do with it. #dismal
Emotion: sadness
Intensity class:
|
2: moderate amount of 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: Don't forget 2 test yr #smoke #alarm, #carbon #monoxide #detector #batteries. It could save your #life. ππ© #Lovinleeds
Emotion: fear
Intensity score:
|
0.417
|
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: @BrandedByCas I was like that when I started college. It was horrific but it probably will get better. Don't give up yet
Intensity class:
|
0: neutral or mixed 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: Literally dying & living at the same time as I catch up on @adrian_ver 's twitter. If you aren't following him your life is BASIC. #hilarity
This tweet contains emotions:
|
joy
|
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: When my life became such a concern to irrelevant ass people I'll never know
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: πππ<---- that moment you finish a Netflix series and have nothing else to watch. #depression
Emotion: sadness
Intensity score:
|
0.750
|
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: @LanaDelRey @Ocelottacash tfw ur fans panic cuz they think u cut ur hair
Emotion: fear
Intensity score:
|
0.521
|
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: Gosh #anxiety attacks turning into #Panic attacks are fucking ugly ....
This tweet contains emotions:
|
anger, fear
|
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: @Max_Kellerman it also helps that the majority of NFL coaching is inept. Some of Bill O'Brien's play calling was wow, #awful! #GOPATS
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: Why doesn't anybody I know watch penny dreadful? βΉοΈοΈ
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: I really wish my road rage wasn't so damn bad lmaooooo
Emotion: anger
Intensity score:
|
0.604
|
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 like cycling because I get to intimidate people with my powerful calves & horrendous tan lines.
Emotion: fear
Intensity score:
|
0.250
|
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: @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: 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 love seeing happy women, that glow is something real.
This tweet contains emotions:
|
joy, love, optimism
|
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