Datasets:
Holmeister
/
AAID-clone

Dataset card Data Studio Files Community
1
instruction
stringclasses
50 values
input
stringlengths
32
202
output
stringlengths
0
55
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: @Daniel_Sankey @hayleyp79 Haha.... Actually, after the Doggies I'm barracking for Anyone But GWS! 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: Wee cunts playing chappy in my street, got my shoes on so I can chase and scare the fuck out of them Emotion: fear Intensity class:
0: no fear can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: Getting my comedic relief w/ @SofiaVergara during season premiere of #ModernFamily. Just what a girl needs! #hilarious This tweet contains emotions:
joy
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: @ChurdAllan fucked my coupon that goal! 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: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️ Emotion: fear Intensity class:
1: low 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: A pessimist sees the difficulty in every opportunity, an optimist sees the opportunity in every difficulty' -Sir Winston Churchill- Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: 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: @CallumPinner you came in at silly o'clock and woke me up that's what happened #wasted #fuming Emotion: anger Intensity score:
0.771
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: @CNNPolitics I can't wait to hear what he had to say about the brilliant Dr. Hawking... it should be rich... In the poorest of taste! This tweet contains emotions:
anticipation, disgust
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: Americans as a whole are, for the most part, feeling borderline despair at the very least. Looking at a situation out of control. Emotion: fear Intensity class:
0: no fear can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: Well, the lines for Sweden's goals sure sting. This tweet contains emotions:
anger, pessimism, sadness
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: @MCFCDenver doing the exact same minus the beer sadly This tweet contains emotions:
sadness
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: Relive Vegas' heyday with Rat Pack tribute Intensity score:
0.531
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: mmmm i'm kinda sad i hope i can shake this before school Intensity score:
0.210
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: I think they may be #offended Emotion: anger 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: John and his 'magic box' #lost Emotion: sadness Intensity class:
0: no 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: angry already Emotion: anger Intensity score:
0.688
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: Accept the challenges so that you can feel the exhilaration of victory!! Emotion: joy Intensity class:
1: low 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: @WYSdaily I'm confident they will NEVER experience our successes of last 50yrs. Best they can hope for is to be another Bournemouth #sad This tweet contains emotions:
disgust, sadness
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: I think @Sam_Canaday & @KYLEJDOWSON must actually have to be working like me & @dowson_brady because I havent got any snap chat videos today 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: Watch this amazing live.ly broadcast by @kaylaaa_sartorious #musically Emotion: joy Intensity class:
1: low 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: If you #invest in my new #film I will stop asking you to invest in my new film. #concessions #crime #despair #shortsightedness #celebrities Emotion: sadness Intensity class:
1: low amount of sadness 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: 339:709 A local habitation and a name.\nSuch tricks hath strong imagination,\nThat, if it would but apprehend some joy,\n#AMNDBots Emotion: fear Intensity score:
0.396
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: People who go the speed limit irritate me Intensity class:
-2: moderately negative 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: Now that the whole clown rage has scared me shitless, I'm gonna go cry in my room Emotion: anger Intensity score:
0.729
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: Quinn's short hair makes me sad. #glee Emotion: joy Intensity class:
0: no joy 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: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends #happy 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: every day i have to think in my mind will this be pleasing to God. my decision making, the way i react, treat ppl, speak, am i pleasing God. This tweet contains emotions:
optimism, trust
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: Follow this amazing Australian author @KristyBerridge #fiction #zombies #angels #demons #vampires #werewolves #follow #authorlove Emotion: fear Intensity score:
0.167
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: Heading home to cut grass in the heat. All I wanna do is go out to eat somewhere air conditioned. #AdultingIsTheWorst Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to This tweet contains emotions:
anger, disgust
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 will never watch greys anatomy ever ever ever ever ever again if Shonda Rimes takes away another OG character☹️☹️☹️☹️☹️☹️☹️☹️☹️☹️ #fuming Emotion: anger Intensity score:
0.583
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: @_Briannax33 @TheFunnyVine @MarielaLynn_ @karengutiii_ gotta shake the booty instead though, makes sure it's all good 🙂 Emotion: fear Intensity class:
0: no fear 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: @C1TYofFL1NT This will haunt my dreams. @JoePrich Emotion: fear Intensity class:
2: moderate amount of 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: @corruptmelon now im feeling the #worry Emotion: fear Intensity score:
0.854
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: @gayla_weeks1 I try not to let my anger seep into reviews, but I resent having my time wasted on books like that. Time is precious. Emotion: anger Intensity class:
3: high amount of anger 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: hate to see y'all frown but I'd rather see him smiling 💕✨ This tweet contains emotions:
joy, optimism
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: @Nick_Offerman I'll be there!! Can't wait for all the #mirth! This tweet contains emotions:
anticipation, joy
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: Bloody parking ticket 😒💸 #fuming Emotion: anger Intensity class:
3: high amount of anger 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: @Theshadeshit91 \nOh, I'm sorry about it, do not be sad yourself there is nothing important in the world to grieve about it Emotion: sadness 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: @salutetroye you look adorable awe This tweet contains emotions:
joy, love
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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming 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: Annoyed with @TripAdvisorUK bullying me to download an app that eats my phone memory. Will seek alternative from now. #bully #tripadvisor 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: Houston might lose a coach tomorrow or by midnight. #yikes ? Emotion: anger Intensity class:
0: no anger 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: incredible that anthony weiner has been caught chasing a busty milkmaid across a park at double speed while jaunty music plays Intensity score:
0.387
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @katiewhiskey_ @bradnarok candy corn is the greatest candy in the world when it comes to being objectively terrible Emotion: fear Intensity score:
0.417
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: @PearseDoherty @harrymcgee @IrishTimes That might sting for a bit lads but you'll get over it. #betterwithsinnfein Emotion: anger Intensity class:
1: low amount of anger can be inferred
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: When you lose somebody close to your heart you lose yourself as well 💔 #lost Emotion: sadness Intensity class:
3: high 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: This weather got me fucked up. Like you either be sunny and hot or gloomy and cold. No in between. Emotion: sadness Intensity class:
2: moderate 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: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #restless #sad #needsmoresleep Emotion: fear Intensity score:
0.469
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: Don't get too close it's dark inside 🌫🌊 Emotion: sadness Intensity class:
1: low amount of sadness 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: Multitasking .... I may have to induce these seeds of mine to sleep. #restless Emotion: fear Intensity score:
0.521
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: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends #happy Emotion: joy Intensity score:
0.800
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: And Republicans, you, namely Graham, Flake, Sasse and others are not safe from my wrath, hence that Hillary Hiney-Kissing ad I saw about you This tweet contains emotions:
anger, sadness
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: if we let that in id be fuming poor keeping Emotion: anger Intensity class:
2: moderate amount of anger 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: @EngrNabeeel then rejoicing now is a lil' bit prematured dont you think🤔🤔🤔 Emotion: joy Intensity score:
0.250
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: He's seriously so frustrating sometimes! (╯°□°）╯︵ ┻━┻ #ugh #raging This tweet contains emotions:
anger, disgust, sadness
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: Honestly, there are some awful people on the internet... smh... This tweet contains emotions:
anger, disgust, 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: Tell me how I'm supposed to feel. #broken #hateful #guilty #love #sadness This tweet contains emotions:
pessimism, sadness
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: @WilsonsWorld I was in high school and remember helping neighbors clean up back home in Greenville. Pretty sobering stuff. #sadness This tweet contains emotions:
pessimism, sadness
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: if anyone spoils any of my fucking shows I will haunt you in the afterlife so help me god Emotion: fear Intensity class:
0: no fear 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: Just feel awkward that I'm being timid to everyone. Emotion: fear Intensity class:
1: low amount of fear 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: @TheOnlySweeney their slogan should've been #start instead of #finish Emotion: fear Intensity class:
0: no 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: OOOOOOOOH MY GOD UUUUGGGGHHHHHHHHH Emotion: anger Intensity class:
3: high amount of 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: But this is the internet age, so get mad out of any and all proportion and assume the terrible worst with little to no facts or knowledge. Emotion: fear Intensity score:
0.500
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: @shimian lol. DK has actually dropped from top of the table, surprisingly Arms Warrior is top of the DPS at the moment Emotion: fear Intensity class:
0: no 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: Or when they hmu on snap, and I'm like.. which one are you. 💀 Emotion: anger Intensity score:
0.417
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: @OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic 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: @firstleeds not only are your buses unreliable your e ticket app is too unable to get on two buses and late for work #fuming #useless reply This tweet contains emotions:
anger, disgust
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: People need a way to escape,escape what?This corrupted world.This reality. This joke.This fury of constant pain & stress.We need a vacation This tweet contains emotions:
anger, disgust
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've said it before and I'll say it again: It's God! All God! Only God! #awe #archippusawakening #entirelybyhisgrace 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: Well i did hear once before that girls are attracted to men that look like their dad! 👌 #serious Emotion: sadness Intensity class:
0: no sadness 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: i had a hard time falling a sleep and woke up several times because i was afraid of bugs crawling on me and i ended up waking up with a bite Emotion: fear Intensity class:
3: high amount of 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: @DouthatNYT @jbouie @DamonLinker Yes, it is bad to point out racism lest it provoke the racists. Some racists do indeed not like it. 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: Just reached 10k followers - WOW - thanks blues #mcfc #ctid Emotion: sadness 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 assume that people pick up on my joviality coz I lol a lot but it's just not working. Maybe I need to get heavy handed with emoticons? Ha 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: @bryony_gordon Sat waiting for bus today enveloped in a strawberry scented damp and revolting cloud of vape. I moved away, disgusting, urghh Emotion: fear Intensity class:
0: no 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: .@marcorubio mentions his high school-aged daughters, 'should be a joyous occasion' when they go to college, not bring 'fear,' 'trepidation' Emotion: joy Intensity class:
0: no 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: @BrumSciComm in a danish. What horror, what depths. #gbbo This tweet contains emotions:
anger, fear, 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: Why upping rooms makes a few apprehend leaving out charcoal ownership: UnZU Emotion: fear Intensity score:
0.396
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: It's meant to be!! #happy #happy Emotion: joy Intensity class:
3: high amount of joy can be inferred
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: @tunaeP_ cheer up☺️ Intensity class:
0: neutral or mixed emotional state can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Southampton playing really well here. Youngsters Matty Targett and Jake Hesketh in particular and Austin and Long formidable as a front two Emotion: fear Intensity class:
0: no fear can be inferred
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive).
Tweet: STAY JADED everyone is Intensity score:
0.500
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: @Coffeeking12 @jsavite I was injecting a little levity! The person who tweeted the coke/rape tweet is obviously an idiot Intensity score:
0.345
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: Happy Birthday to my favorite author, @StephenKing #horror #writer #author Emotion: fear 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: @HillaryClinton Yeah U gotta make them HEEL. I know U need their votes so U have to wait. But when U LOSE-they're really in for your wrath ! This tweet contains emotions:
anticipation
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: If you think reason will prevail in this election remember that Hitler was elected by what was then a wholly 'reasonable' society. This tweet contains emotions:
anger, anticipation, disgust, pessimism
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: When you arrive at the office the day before your first ever festival and the Internet is down #panic Emotion: fear Intensity class:
2: moderate amount of 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: #Violence doesn't fix violence. #pain and #anger are the same reaction in the brain. Cure the pain and the anger will go away. Emotion: anger Intensity class:
1: low amount of anger can be inferred
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Paranoia is a fear every races has This tweet contains emotions:
fear
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: PASTOR - 15 FEET away from shooting victim during protest says he is skeptical of official story. #CharlotteProtest #CharlotteRiot Emotion: fear Intensity class:
1: low 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: I've said it before and I'll say it again: It's God! All God! Only God! #awe #archippusawakening #entirelybyhisgrace 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: @SouthernRailUK delays from Streatham Cmn to Clap Junc & now train took 20 mins for 9 mins journey. Missed 2 trains to Reading Emotion: anger Intensity score:
0.583
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: Live simply. Dream big. Be grateful. Give love. Laugh lots. - Unknown #quote #inspiration #happy This tweet contains emotions:
joy, love, optimism
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: im so tired but i still have thisbhuge history test in a few minutes i cant afford to get freaked out now oh god if i have an anxiety attack This tweet contains emotions:
fear, 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: @narcissusheiyan maybe it'd have been different if I stayed for sixth form? But still, the oppressive architecture, uninteresting people This tweet contains emotions:
disgust, 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: #bestadvice from a #movienight, pickup the #phone & #start dialing, no1 will knw a #startups #product #service if thy dnt tell the #world Emotion: fear Intensity score:
0.333
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: @rsdeepsea @BreitbartNews If 3 people are in a country of 300 million - you are going to RUIN the whole country over 3 people? #fear This tweet contains emotions:
disgust, fear
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: smiling through the stress :) :) :) :) :) :) :( :( :( :( :( :( :( Intensity score:
0.500
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: @Ms_Asia_Pacific @jgsuing @PilosopoTanya @HuffingtonPost @HuffPostPol as a fellow UP grad, i shiver at the shallowness of his arguments Emotion: fear Intensity score:
0.604