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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: @BBCPolitics @BBCNews I'd rather leave my child with @BorisJohnson
Emotion: fear
Intensity class: | 0: no fear 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: @mandyjohnson I'll be honest.. I hope that annoying Southern bint with the 'look at me' pout goes out this week! Selasi #FTW
Emotion: anger
Intensity class: | 3: high amount of anger 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: Live simply. Dream big. Be grateful. Give love. Laugh lots. - Unknown #quote #inspiration #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: All this doom and gloom! We scored from open play again! And only conceded two this time. #progress they means a 1-1 draw on Saturday for me
This tweet contains emotions: | joy, optimism |
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 is it that we rejoice at a birth and grieve at a funeral? It is because we are not the person involved. ― Mark Twain
Emotion: sadness
Intensity class: | 0: no sadness 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: Watch this amazing live.ly broadcast by @swagrman_fan #musically
Emotion: joy
Intensity score: | 0.521 |
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: At least I don't have a guy trying to discourage me anymore in what I want to do he will never become anything worth contributing to society
Intensity class: | 0: neutral or mixed emotional state 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: @mdivincenzo9 he's stupid, I hate him lol #bitter
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Avoiding #fears only makes them scarier. Whatever your #fear, if you face it, it should start to fade. #courage
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: How is it suppose to work if you do that? Wtf dude? Thanks for pissing me off. #furious
Emotion: anger
Intensity score: | 0.833 |
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: Ok it really just sunk in that I'm seeing the 🐐 in a few hours.. wow 🙄🙄
Emotion: sadness
Intensity class: | 0: no sadness 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: #twd comes on soon #happy
Emotion: joy
Intensity score: | 0.712 |
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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: I swear if @devincameron23 blocks me I'm going to hit her back
Emotion: anger
Intensity score: | 0.708 |
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: What terrible thing to see and have no vision-\n\nHelen Keller-\n\n-Begin with the end in mind-\n\nStephen Covey-\n\n#whereareugoing #relentless
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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: Pre-prepare direction plays hale and hearty situation an in child's evolvement: CMmyd
This tweet contains emotions: | anticipation, joy, optimism |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @dcexaminer Democrats and their voters have zero tolerance for honesty. They associate honesty with anger and hate.
This tweet contains emotions: | anger, disgust |
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: @deodevine6 i can't bully you and niall impossible😙
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Class is canceled due to a funeral. Not sure if it's appropriate to be happy or sad.. #happy
Intensity class: | 0: neutral or mixed emotional state 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: Good job #Texas for saying no to #Obama for #refugees who could be #terrorists! #Wakeup, #America! #Stop #terrorism. #pray @foxandfriends
This tweet contains emotions: | anger, disgust, fear, optimism, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @NHLexpertpicks @usahockey USA was embarrassing to watch. When was the last time you guys won a game..? #joke
Emotion: fear
Intensity score: | 0.167 |
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: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
This tweet contains emotions: | anger, joy |
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: @NFYFC @Wilkster_ hmm, don't know many yf who are short on confidence! Wish I'd been one, #shy
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: Happiness is a choice life isn't about pleasing everybody #ALDUB62ndWeeksary
Emotion: joy
Intensity score: | 0.460 |
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 don't like pineapple I only eat them on pizza, they lose the sting when they get cooked.
This tweet contains emotions: | disgust |
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: @douglas_nat @one11north I need it today! Do u know how many fuckin French plaits I had to do this morn with a stroppy 9 yr old! #rage
Emotion: anger
Intensity score: | 0.896 |
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: @virginmedia shocking service for your call centre staff this evening. Transfer me and cut me off after waiting forever to speak to someone.
Emotion: fear
Intensity score: | 0.333 |
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: So then it's my turn. Soon as he says hi I just burst into tears lmaoo I was so overwhelmed.
This tweet contains emotions: | anticipation, joy, optimism, sadness |
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: Eve, Izzy, and Paige cheerfully sing songs together.
This tweet contains emotions: | joy, love, optimism |
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: sparkling or still? #terribledebatequestions
Emotion: joy
Intensity score: | 0.146 |
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: My roommate turns the sink off with her foot to avoid germs and a guy says 'YOUR roommate is feet girl?! I'm so sorry' plz help
Emotion: fear
Intensity score: | 0.500 |
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: My mind always seems to work its best at night #restless
This tweet contains emotions: | anger, 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: A tummy full of steak, wine, key lime pine and cuddles on tap. What a way to turn around a stressful Wednesday 💛
This tweet contains emotions: | joy, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: If purging was real, Kenya would be the country where the elite purge from choppers while the low-class cower under their beds for 12 hours
Emotion: fear
Intensity score: | 0.583 |
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: Set n alarm '@Innocentia_T: I wanna nap but I'm scared I'll wake up tomorrow .'
Intensity class: | -1: slightly negative emotional state can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: We, #Indians, can hold our heads up high and stay unafraid. The #UNGA is well-informed about #Pakistan's #terrorism business and deception.
This tweet contains emotions: | fear, joy, optimism |
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: @Hank_nsno @RonaldKoeman cheering and clapping I assume
Emotion: joy
Intensity score: | 0.417 |
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: Let's refuse to live in #fear - #c$%t
This tweet contains emotions: | fear, optimism |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Solid starts by #Bozzelli and #BenEvans. Hoping for a good #start !
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: @lynnew69 then he said talking about wills uncontrollable animals when moving to another link. These comments do not help! #fuming
Emotion: anger
Intensity score: | 0.750 |
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: I wish you stayed in Da Gump I'll make you panic like the last rapper
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: “Worry is a down payment on a problem you may never have'. Joyce Meyer. #motivation #leadership
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: @SunandBeachBum 'you people' infuriate me!
This tweet contains emotions: | anger, disgust, sadness |
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: @wwcummings @USATODAY this individual is clearly trying 2 #intimidate this #LEO I see an issue here. STOP CAUSING ISSUES by pushing limits!!
Emotion: fear
Intensity class: | 1: low 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: Someone wake me when @Therealkiss make 2016 remix of 'Why'❗️b/w #TerrenceCrutcher #Election2016 #colinkapernick #terrorism #riots this 2much
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: Positive thoughts on these gloom cloudy days
This tweet contains emotions: | joy, optimism |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
This tweet contains emotions: | anger, joy |
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: Wearing all black tomorrow as I continue to mourn the lives of the most recent victims of police brutality. #blackout #WU
Emotion: sadness
Intensity score: | 0.779 |
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: @bobcesca_go @sesmithesq \nDidn't Florida 2000 teach you anything? I live here in Palm Beach County and lived through that nightmare.
Emotion: fear
Intensity class: | 1: low amount of 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: @AskPS_UK not received verification email, asked for it to be resent 5 times still nothing.
This tweet contains emotions: | anger, disgust |
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: @LazyBoiSam blues... blues? 🤔
Emotion: sadness
Intensity score: | 0.438 |
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: Today I answered a call from a college rep who didn't realize I did, and I got to hear part of his lively debate about if evolution is real.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: ...at your age, the heyday in the blood is tame...' @TheArtofCharm #shakespeareaninsults #hamlet #elizabethan #williamshakespeare
This tweet contains emotions: | |
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: @mdivincenzo9 he's stupid, I hate him lol
This tweet contains emotions: | anger, disgust |
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: When ya'll talkin about you know who I don't know who ya'll talkin bout, I'm on the new shit....chuckin up ma deuces......🔥🔥 #kanye
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: Next month we'll be running overcoming #lowmood, overcoming #worry and improving #wellbeing courses in #Louth. Self refer on 0303 123 4000
Emotion: fear
Intensity score: | 0.562 |
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: @BBTooms This is perfect example of why what paul said about her, was right. One of the most ignorant competitors ive seen. #bully #c$%t
Emotion: fear
Intensity class: | 1: low amount of 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: @JamesWickham Congratulations! My top home-owning tip: try not to look at your mortgage balance too often. The slowness will depress you.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @riinkanei he's a horrible person and now i gag when i see people quote him
This tweet contains emotions: | anger, disgust, fear |
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: Im really constipated. This is depressing
This tweet contains emotions: | disgust, sadness |
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: Thinking about trying some comedy on youtube. Always been fond of it. Time to nut up. #comedy #maybeoneday #hopefullyfunny #LOL
Emotion: joy
Intensity score: | 0.500 |
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: How is it suppose to work if you do that? Wtf dude? Thanks for pissing me off. #furious
Emotion: anger
Intensity class: | 3: high amount of anger 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: Never switched up, stayed down this the same person since day one.
Emotion: sadness
Intensity score: | 0.347 |
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: Dad asked if I was too hungover to function today. Little does he know I stayed sober last night so i could get shit faced tonight 😅
Emotion: sadness
Intensity score: | 0.271 |
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: People stealing things from my work out quite the damper on my day so now I am going to wear pajamas all day
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: #ADHD & #anxiety are #IRRELEVANT\nAnyone will be #EVICTED if a significant amount of rent HAS NOT BEEN PAID \n#mentalhealth aside\n#CantPay
This tweet contains emotions: | anger, disgust, fear, pessimism, 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: ESPN just assumed I wanted their free magazines #offended
Intensity score: | 0.300 |
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: And here we go again 😓
Emotion: fear
Intensity score: | 0.479 |
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: You dont have to feel grateful to be grateful, for it is written ' all things work together for good' for those who love God. #cheerful
This tweet contains emotions: | joy, love, optimism, trust |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I freaking hate working with #word on my phone #write #writing #writerslife #writerproblems #writer
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: @Myahrissavietta I'm cheery now 😘😉
Emotion: joy
Intensity score: | 0.760 |
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: @RossKemp Omg that is just horrific. Something needs to be done. 😢
Emotion: fear
Intensity score: | 0.820 |
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: Could not be happier!! #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I have serious separation anxiety 😭😭💔
Emotion: fear
Intensity class: | 3: high amount of 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: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications
Emotion: sadness
Intensity score: | 0.667 |
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 about to block everyone everywhere posting about the storm. I think everyone is aware of the damn rain and what not so quit. #damn
Emotion: anger
Intensity score: | 0.812 |
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: Another L on the board we just cannot match up on paper with these teams at the moment and its showing on the field. Onto Denver
This tweet contains emotions: | anger, disgust, 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: Making my buddy cry !! Bitch wait for revenge 🤗👌🏻
Emotion: anger
Intensity class: | 3: high amount of anger 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: When you're prof suggest @Pharrell and William James may be unlikely dialogue partners and then plays the #happy video #WeAreCST
This tweet contains emotions: | joy, optimism |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???
Emotion: fear
Intensity class: | 1: low 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: Need good vibes for my doctors appointment tomorrow!
Emotion: fear
Intensity class: | 1: low amount of fear 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: @samsteinhp stop the presses, @realDonaldTrump said/proposed something racist.
This tweet contains emotions: | anger, disgust |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @TobyIrish1 Yes but you were specifically fuming about him not signing enough people
Emotion: anger
Intensity score: | 0.479 |
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: It's really sad when you can't order goods from china and the likes because of Internet fraudsters... What's this government really doing.
Emotion: sadness
Intensity score: | 0.625 |
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: The #secret to all of every industry: just #start doing it...somehow people forget that they never gave you #permission.' - @thomaslennon
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @ReaganRachelle if I go I'm going to blow some serious money, idk if that's a sacrifice I'm willing with make
Emotion: sadness
Intensity class: | 0: no sadness 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: tim burton never fails to depress me
Emotion: sadness
Intensity class: | 2: moderate amount of 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: Who likes #werewolves and #horror and #surfing? Because BREAKER over on @readstela has all that and MORE.
Emotion: fear
Intensity score: | 0.438 |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @Thebeast_ufc what happened to the suicide tweet it was a joke obviously how could that offend anyone?🤔
Intensity score: | 0.422 |
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: @RealMichaelKay Annoys me to about the Ortiz tribute too, how would the Oriole fans and organization feel if Yanks did that to them? #awful
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @grumpy_pumper I involuntarily smile when you frown in photos. And giggle. How annoying!!
Emotion: anger
Intensity score: | 0.358 |
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: @XboxMAD @RobotBrush Ballmer will be furious. Another delivery lost...
Emotion: anger
Intensity score: | 0.500 |
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 stealing things from my work out quite the damper on my day so now I am going to wear pajamas all day
This tweet contains emotions: | disgust, sadness |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I'm literally never home and my parents threaten to charge rent if I don't start cleaning the house everyday. OK.
Emotion: fear
Intensity score: | 0.458 |
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: @DailyJoshleen KA- like the start of cake and then Like saying C - if that makes sense 😭😂
Emotion: fear
Intensity score: | 0.229 |
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: @PediMGHHMS3 sickle cell if right pt background. Or could be JIA or an allergic reaction to a bite e.g. bee sting among others.
This tweet contains emotions: | |
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: HMS Pinafore' time.\n\nI need some mirth.
Emotion: joy
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: @ESPNLosAngeles best segment so far by @marcelluswiley @Kdubblive hilarity
This tweet contains emotions: | anticipation, joy, love, optimism |
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: #PeopleLikeMeBecause of some unknown reason but I try to discourage it
Emotion: sadness
Intensity score: | 0.278 |
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: @AFCGraMaChroi oh, sorry if I've discouraged you 😂
This tweet contains emotions: | sadness |
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