Datasets:
Holmeister
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AAID-clone

Dataset card Data Studio Files Community
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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: @Markgatiss I'm surrounded by those Trump voters. You're right, it is fucking terrifying. #redstate #despair Emotion: fear Intensity class:
3: high amount of fear 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: All the bright places :( This tweet contains emotions:
sadness
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: 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) Intensity class:
0: neutral or mixed emotional state can be inferred
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
Tweet: #bcwinechat what's the most common method used to make BC #wine? Emotion: joy Intensity score:
0.189
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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #ChrisBrown #TeamBreezy This tweet contains emotions:
anger, joy, optimism
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: In my room 101 would go Russell Howard,Tom Odell,Michael Buble!!! #pants #nogood #dire Emotion: fear Intensity score:
0.438
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: Stk is expensive but i'f rather take a bigger female there than tiff. You all see how slim she is and how she loves to eat. This tweet contains emotions:
disgust, joy, love
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: My mind always seems to work its best at night Intensity class:
0: neutral or mixed 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: Free live music in DC tonight! #blues with #MoonshineSociety at @thehamiltondc in the Loft starting at 10:30pm @FreeinDCBlog @WTOPFreebies Emotion: sadness Intensity score:
0.188
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: @mgcsartwork I nearly started crying and having a full on panic attack after tatinof bc of the crowds so I feel him Emotion: fear Intensity class:
3: high amount of fear 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: It's meant to be!! #happy #happy This tweet contains emotions:
joy, love, 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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. Intensity score:
0.859
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: @SkySportsRL i would just get some decent referees #shocking Emotion: fear Intensity class:
0: no 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: today has been terrible but tonight will end better because I get to see Malik ❤️ This tweet contains emotions:
anticipation, disgust, joy, love, optimism
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: @humeraslam @MehrTarar @sherryrehman , yes, already he spoke so many lies with timid body language. Baluchistan could have been his own trap 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: WHY TF DO BROKE BOYS KEEP TRYNA FIND GF's? GET UR FUCKIN $$$ RIGHT B4 I SMACK YO BITCHASS, she deserves 2be happy & u don't deserve that ass Emotion: joy Intensity score:
0.058
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: *in the car with mariah, the bass is literally shaking the windows, hard rap blasting, no one is talking, looking straight ahead* This tweet contains emotions:
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: Autocorrect changes ''em' to 'me' which I resent greatly This tweet contains emotions:
anger, disgust
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: Relive Vegas' heyday with Rat Pack tribute Emotion: joy Intensity score:
0.480
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: Sorry @wow_air definitely going with @Icelandair next time, this is beyond unreasonable @wowairsupport #terrible #yourappologiesmeannothing This tweet contains emotions:
anger, disgust, fear, 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: Hahahah what a horrific penalty from bayer. 5 feet wide. Jesus 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: 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 Intensity score:
0.500
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @tbergg1 mine are good rn, gonna be horrid after next week Intensity score:
0.442
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: Stupid people piss me off...busted my ass...and my coworker takes off with all the tips...thnx for nothing #thatsmyluck Emotion: anger Intensity class:
3: high amount of anger 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: @TheRevAl please tell us why 'protesting' injustice requires #burning #beating and #looting terrible optics #toussaintromain is true leader! Intensity class:
-2: moderately negative emotional state can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: I genuinely think I have anger issues Emotion: anger Intensity score:
0.604
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: It would appear it's a good year for the #blues This tweet contains emotions:
anticipation, joy, optimism
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: The most important characteristic of leadership is the lack of . #activism #equity #revolution Emotion: fear Intensity class:
0: no fear 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: TGIF! Hope everyone that needs to find #recovery can and that our friends stay #sober this weekend! @REBOSTreatment @BlvdCenters Emotion: sadness Intensity score:
0.271
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: @CovinoandRich just heard back2back, guess that's why they call it the blues & she's got the look, but I can only sing tickle sacks version Emotion: sadness 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: Michael Carrick should start every game for United and England Emotion: fear Intensity score:
0.146
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: So is texting a guy 'I'm ready for sex now' considered flirting?' Emotion: fear Intensity score:
0.167
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: @GMModular @goldmedalindia horrible experience with a company like this #goldmedal #horrible sales person #wrong commitments#wrongproduct Emotion: fear Intensity class:
0: no fear can be inferred
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan. Intensity score:
0.569
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: Rt @yoelamite i need that one back, that whole cd was hard, the one with a #rage flew through, rhyme flow, n the 1 u speak on the dollar Emotion: anger Intensity score:
0.333
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: And im not even going to get into how its discriminatory to several religions which mandate its followers to let their hair dread. This tweet contains emotions:
anger, 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: #ParentsofAddicts: let #wellness be your #revenge! -Al Anon speaker 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: Janice Griffith snap story 😍😍😍 This tweet contains emotions:
joy, sadness
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: @rubeseatsinfo from here, it's but a short step to biweekly Community Meetings over a hearty meal of soy flakes Intensity class:
1: slightly positive emotional state can be inferred
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: I truly believe in my heart right now that Satan is rejoicing because we are all against one another 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: Forever angry that gh ruined Molly and morgan's bond/friendship This tweet contains emotions:
anger, joy
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: Some Mexican ladies irritate the fuck outta me. Have a their own lil preschool of fucking kids for the welfare & allllat smh. 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: #Jazz - the #blues is the roots, the rest is the fruits This tweet contains emotions:
joy
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: Dentist just said to me' I'm going to numb your front lip up so it'll feel as if you've got lips like Pete Burns!...... She was right #pout Emotion: sadness Intensity class:
0: no sadness 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: Awareness of time is awareness of time lost. #awareness #time #lost 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: I asked Jared to marry me and he said no. #offended Emotion: anger Intensity score:
0.562
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @scdesc Yup. And Val basically ignoring the recipe. I'm just done. I keep bursting into laughter x Emotion: joy Intensity score:
0.646
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: @NebulaJoker No, they aren't. Episodes are animated during the week before they air. Intensity score:
0.482
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: @alicereidy more of a hearty Italian man myself This tweet contains emotions:
joy, 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: Flight 815 crashed on The Lost Island 2004 #lost @JoshuaJThurston This tweet contains emotions:
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: #personaldevelopment\n\nToday is a gift, that's why it's called the present... #happiness #optimism #entrepreneur #personaldevelopment … Emotion: joy Intensity score:
0.646
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: @TheBenNatan szn 3 >>> szn 1 >>> szn 2. Just to warn you. Don't let szn 2 discourage you. This tweet contains emotions:
optimism
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: @buzzlightbeard2 If you don't love yourself... Honesty is the best policy Emotion: joy Intensity class:
0: no joy can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Question for all the cheerleaders who ages out!!\nHow to I make my senior year of cheer more memorable Emotion: joy Intensity class:
0: no joy 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: What the fuck is he even doing ? He should be off that's fucking horrific ! 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: @aradsliff don't know I'm from nj we are the worst on purpose. #laughter This tweet contains emotions:
joy, optimism
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: #welfarereform should not be a 'model' for . Emotion: anger Intensity score:
0.417
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: @CornflakeDaddy @youngvulgarian Yeah, it was sooo horrific, I needed to sit down This tweet contains emotions:
anger, disgust, fear
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
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 score:
0.250
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: Nutella is pine green forget me nots are ivory frozen is god Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
Tweet: Ready for my sweet princess to arrive. I'll he 37 weeks this Saturday! #excited Emotion: fear Intensity score:
0.167
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: Guys! Read my #fanfiction if you like #lost and #housemd I have one of each #tvshow -link in bio! This tweet contains emotions:
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: @jessespector @nasboat old rich white religious guy supports republicans. Not shocking at all. Emotion: fear Intensity score:
0.271
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: @patienceinbee @camposanto But I decided to be a bit lackadaisical about getting dressed to get groceries. Emotion: sadness Intensity score:
0.417
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's meant to be!! This tweet contains emotions:
love
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: fuming Emotion: anger Intensity class:
3: high amount of anger can be inferred
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: #RiceFODays now I am Alex Butler's class on financial management. Starts off with a great, relevant class discussion: movies and sunk costs 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: @CallumPinner you came in at silly o'clock and woke me up that's what happened #wasted #fuming Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: You can make excuses or you can make time. You can't make both. #time #regret #LifeCoach 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: Look for #contrasts....#behaviour may be a #camouflage....garments a #shell....a #bully may be a #baby inside.....' - Prof Caroline Taylor 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: Dunno y am going to the Yorkshire scare grounds when I only lasted a minute in the Alton towers one before running out a fire exit crying This tweet contains emotions:
fear, sadness
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: #smile every morning to a positive head start with your #clients relations Intensity score:
0.887
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: I'd pay good money to watch someone slap that pout off Candice. This tweet contains emotions:
anger, disgust, pessimism
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: if u have time 2 open a snap, u have time 2 respond Emotion: anger Intensity score:
0.375
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: @EliTheProphet_ @ChrisMellini this is an automatic L for me but ima keep trying fam #thewengerway This tweet contains emotions:
joy, optimism
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: @NRA @HillaryClinton She never said anything about taking away guns but I would now bc of your stupid scare tactics for gun sales.Sickening Emotion: fear Intensity class:
1: low amount of 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: Just reached 10k followers - WOW - thanks blues #mcfc #ctid This tweet contains emotions:
anticipation, joy, love, 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.
Tweet: @LisaAsquithtobe @craig8710 @WayneHaselden @june65wigan everyone is against wigan because we are the biggest club #bitter Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: My fav #movies are #horror but they don't make them like they used too. Haven't seen a great one in years Emotion: fear Intensity score:
0.354
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: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. Emotion: anger Intensity score:
0.292
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 bee sting still suck i feel sick Emotion: anger Intensity score:
0.479
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different 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: @jonfavs Don King is an insult to the intelligence of the Black Community. What are these people thinking? Intensity class:
-3: very negative emotional state 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: @breadf2man @SunApology and it's Kelvin Mackenzie tomorrow... #shudder DontBuyTheSun Emotion: fear Intensity class:
0: no 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: These girls who are playful and childlike seem to have such lovely relationships. Can't imagine them having serious convos but it's cute 😍😍 This tweet contains emotions:
joy, love
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: @EE your website is making me feel violent rage and your upgrade options aren't helping either. #Aaaaarrrrgghhh #iwanttocancel #rage Intensity score:
0.086
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: Reflection: the grind has been so REAL! Working 2 jobs & being in school. #ksudsm #ksu #recruiter #instructor #tumble #cheer #gradschool Intensity score:
0.742
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: @EllenMellon_88 Got #mybrokenfoot running Great North Run, can't wait to run again in a few months time - be mostly dark then! #ukrunchat Emotion: sadness Intensity score:
0.417
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: I am a third year college student and and English major. Today is the first time I've ever written an essay without having a panic attack Intensity score:
0.719
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: Police Officers....should NOT have the right to just 'shoot' human beings without provocation. It's wrong.\n\n@ORConservative @MichaelaAngelaD Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts Intensity score:
0.321
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: Realest ever, relentless ever, inevitable that I win. Emotion: anger Intensity score:
0.415
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: @David_Stepp Any other election, fine vote 3rd party as useless as it is but not this one. I hesitate to say it'd be selfish but... This tweet contains emotions:
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: If you think reason will prevail in this election remember that Hitler was elected by what was then a wholly 'reasonable' society. #fear Emotion: fear Intensity score:
0.708
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: Ever been really lonely and your phone keeps blowing up, but you just can’t pick it up and respond to people? #recluse #issues Emotion: fear Intensity class:
2: moderate 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: @carl_diggler @TMZ_Sports Thank you for saying what others are afraid to say, Carl. Big fan! 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: @johnmerro1 @Liberobility still bitter about last night lads 😂 This tweet contains emotions:
anger, 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: @WunderlistHelp are you guys still down? When can we go up? #panic This tweet contains emotions:
fear
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: felt a bit shit getting a very high blood sugar then i remembered it's my first one above 15 this week which is incredible for me! Emotion: joy Intensity class:
1: low amount of joy 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: I can't mourn Kid Cudi cause we have Travis Scott... 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: @TheeCurrentYear @Sargon_of_Akkad this is too much hilarity for one day Emotion: joy Intensity class:
2: moderate amount of joy can be inferred