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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: @bodwell_james did it not just enliven your soul
Intensity score: | 0.532 |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: I want my highlight to be so bright that if I ever get lost and someone is looking for me in the dark, they'll find me.
Emotion: sadness
Intensity score: | 0.188 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Andrew's hands start shaking and he says 'I hope I die.. like right now'
Emotion: fear
Intensity score: | 0.792 |
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: penny dreadful just cleaved off a fraction of my heart
Emotion: sadness
Intensity score: | 0.521 |
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: @GoPro your UX online is appalling! No clear save button, not being able to use any generic TLD's #unhappy
Emotion: sadness
Intensity score: | 0.708 |
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: @rockandpop pomte A Muse com panic Station Exitaso
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: i'm... nervous about this test rip
Emotion: fear
Intensity class: | 3: high 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: @PridefulSamurai horrible things
Emotion: fear
Intensity score: | 0.730 |
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: @honevbee close up shots of my ugly mug as I continue to talk about Blaine years after glee has been dead
This tweet contains emotions: | disgust |
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: @JackAndAHat butter up the walls, nightmare
This tweet contains emotions: | fear, sadness |
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's basically a dead skin peel which sounds grim. But it literally gets rid of so much dead skin from your pores.
This tweet contains emotions: | |
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: @Uncle_Brown22 yeah dude! Appreciate the #support! #Notorious on ABC, peep it! #grateful
This tweet contains emotions: | joy, love, optimism |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @kylemuir17 @Ealvarezfight @danawhite @TheNotoriousMMA he'll defend his belt against aldo after its not that hard u grudge holding bitch
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Back to forest drama -\nfrom my #Forest #music - series, 2016\n#nature #dark #art #photography #Finland
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Yo,if you're talking about horoscopes do you really have any clue as to what you're saying or are you gonna act offended when I question it?
This tweet contains emotions: | anticipation, 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 can't wait for you to listen to my new single 'Mystery' and my new album😋. #newmusic #newsingle #newalbum #2016 #popmusic #dark
Emotion: sadness
Intensity score: | 0.146 |
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 wanna kill you and destroy you. I want you died and I want Flint back. #emo #scene #fuck #die #hatered
Emotion: anger
Intensity score: | 0.910 |
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: No #gbbo from us tonight sadly, we've got a date with some nachos @ODEONCinemas #BridgetJonesBaby
This tweet contains emotions: | anger, 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: And I cried in front of my guy last night. And it's just been a horrible week but it's only for a week
This tweet contains emotions: | disgust, fear, pessimism, 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: @BreezyWeekes hey breezy, you wanna give me some of that coffee you posted on your snap?? please
Emotion: joy
Intensity score: | 0.228 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Anger, resentment, and hatred are the destroyer of your fortune today.'
Emotion: anger
Intensity score: | 0.375 |
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: Only Geo is capable of cheering me up❤️❤️❤️
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @Susan_Wilde @oohincensed @TheCanarySays no! Kinda offended that you had to ask
This tweet contains emotions: | anger, disgust |
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: What we think, we become. -Buddha #recovery #addiction #sober #sobriety
Emotion: sadness
Intensity score: | 0.333 |
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: At the point today where if someone says something remotely kind to me, a waterfall will burst out of my eyes
This tweet contains emotions: | joy, love, optimism, 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: @1barkcom Thank you for the #follow. Looking forward to your tweets as they look entertaining! #smile #socialmedia
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: @TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho #shocking
This tweet contains emotions: | anger, disgust, sadness, surprise |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @el_tityboi bc it's a gloomy day Tony
Intensity score: | 0.219 |
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: this girl at my new school is so pretty i am
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @TauDeltaPhiDK THANK YOU FOR MY OBAMA CUT OUT!!!!!! I am elated that he's back home😍
Emotion: joy
Intensity class: | 3: high amount of joy 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: @PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --
Emotion: joy
Intensity class: | 1: low amount of joy 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: @SusannahSpot I could pop round
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: @JlKelly1 @FJ_Berry I've got #teampaella presents on their way for you and Fi but I don't think they'll arrive by Saturday sadly!! ;)
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: I am #real #sjw, I will not let #america down\nI have found us, now go and get us\nI let it out and I let it in\nI #rage I #lol\n@SergioSarzedo
This tweet contains emotions: | anger |
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: There is nothing like being in the shower when the power goes out 😳 #creepy
This tweet contains emotions: | disgust, fear, sadness |
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: @casillasbreanna awe thanks girl 😊😊
Emotion: fear
Intensity score: | 0.146 |
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: Treat joy and laughter as a form of worship and spiritual warfare! #live #victory #worship
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @Senpai_Vanilla This would be the height of hilarity, were it not for the fact that the adult swan is highly likely to attack.
Emotion: joy
Intensity score: | 0.240 |
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: ordered my vacation bathing suits. one less thing to fret about.
Emotion: anger
Intensity class: | 0: no 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: @AlohaJonathan @AtlantaFX all I've seen is that clip of the jail scene with the sexuality part which was hilarious
Emotion: joy
Intensity score: | 0.542 |
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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any #optimism
Emotion: joy
Intensity score: | 0.354 |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: She'll be bribing her parents with hearty laughter and giggles :) #Loveet
Intensity class: | 3: very positive emotional state 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 @swagrman_fan #musically
Emotion: joy
Intensity class: | 1: low amount of joy 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: @MollieTebbatt guess what I'm doing? watching your great grandad sink the titanic..
Emotion: sadness
Intensity score: | 0.292 |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: I added Paul Walker on Xbox but he just spends all of his time on the dashboard. #humor #funny
Emotion: sadness
Intensity score: | 0.167 |
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: @huwellwell One chosen by the CLP members! MP seats are not for people to dole out to their mates, we elect candidates.
Emotion: anger
Intensity class: | 1: low amount of anger 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: @steenfox I'm feeling the exact same way. Also I read this in Akon's voice, it provided me with a hearty chuckle
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @jody_paterson So I worry about emphasis on 'keeping family together' as a guiding principle, due to my own experiences
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: Miss my lil caramel delight 💓
Emotion: joy
Intensity class: | 1: low amount of 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: @Susan_Wilde @oohincensed @TheCanarySays no! Kinda offended that you had to ask
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: @Owlman2011 @charitypricey @jon_newsome @PRAWNSANDOWl @smith_alister @MikeConnelly9 average 22000 for the massif... #shocking
This tweet contains emotions: | anger, disgust, surprise |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: There's a certain hilarity in people angry at protests against the national anthem or the flag when these acts are covered by 1st Amendment.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @lennyabrahamson May I send you a copy of #HeroTheGreyhound? Either e-book or real paper one! A boy and a greyhound #smiles #tears
Intensity class: | 1: slightly positive emotional state 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: @eugenelaverty @WorldSBK all the best Moto GP is loosing a very talented rider #shocking
This tweet contains emotions: | surprise |
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: 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
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: I am in #shock and #awe and the places my #toddler manages to get his dinner.
Emotion: fear
Intensity score: | 0.438 |
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: If I was friends with me I'd hate me SO MUCH with the amount I bully them
Intensity class: | -2: moderately 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: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO #bitter
This tweet contains emotions: | anger, anticipation, disgust, sadness |
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: When we are weak & in despair, our Mighty God is near;He will give us strength & joy & hope, & calm our inner fear, just have faith & trust.
Emotion: sadness
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: Contactless affliction kart are the needs must regarding the psychological moment!: xbeUJGB
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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 thus begins my 2 week holiday! 😏😏\n#holiday #cheering #ghastinoir #rest
Emotion: joy
Intensity score: | 0.860 |
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: Still salty about that fire alarm at 2am this morning.
Emotion: fear
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: Watching Paranormal Activity: The Ghost Dimension. I'm not sure how I feel about it yet. #horror
This tweet contains emotions: | anticipation, fear, surprise |
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: @wholegrainne Sweden win + Finland win, or NA win + Finland win, NA win + Russia win + timebreakers shake down right
Emotion: fear
Intensity score: | 0.312 |
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: “Winners are not afraid of losing. But losers are. Failure is part of the process of success. People who avoid failure also avoid success.'
This tweet contains emotions: | fear, optimism, trust |
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: Theyve substituted the hood for a badge and gun.' Public opinion is indictment of Charlotte police. #dark #sadtimes #america #race
This tweet contains emotions: | anger, disgust, pessimism, sadness |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: Refuse to let myself get discouraged.
This tweet contains emotions: | joy, optimism, trust |
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: Changed my clothes at work and had my pre-workout.. In route to the gym and there is traffic all over - pre workout kicking in..
Emotion: anger
Intensity score: | 0.418 |
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: #LMFAO @MSNBC 's #racepimp Tamron Hall used the words 'fscts' and 'MSNBC' in the same sentence #libtard #biasedmedia #neverHillary
Emotion: joy
Intensity score: | 0.231 |
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: Is there a perfume that smells like the smell of smokey incense because i would be all about that
This tweet contains emotions: | 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: Be quick to #listen, slow to #speak, and slow to #anger.
Emotion: anger
Intensity class: | 0: no 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: @JasonBHampton it's Bowers. I went and drove it for a while this evening
Emotion: fear
Intensity score: | 0.292 |
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: @LondonMidland #dobetter only two carriages on 14:49 Birmingham to Hereford no room to stand anymore Friday commute #unhappy
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Omg. You've got to watch the new series 'This is Us'.....wow. Best tv show I've seen in a long time.\n#tears #laughter #moretears
This tweet contains emotions: | joy, love, optimism, sadness |
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: Watch this amazing live.ly broadcast by @huntermcaseyy #lively #musically
Emotion: joy
Intensity score: | 0.519 |
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: @Jen_ny69 People will always get offended everyone's situation is different! Just because we have kids doesn't mean we have to settle
This tweet contains emotions: | anger, disgust, 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: god, Facebook's design has started to remind me of MySpace in its heyday
This tweet contains emotions: | disgust, pessimism |
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: That rocky horror remake looks a bit w a n k
This tweet contains emotions: | anger, disgust, fear |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: im 16 if you want to see my dick snap/kik me at hiya2247 😘 #kik #kikme #snapchat #snap #snapme #horny #porn #naked #young
Emotion: anger
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: @MariamVeiszadeh it's getting so close in your poll so many ignorant ppl. #depressing #painful something needs to change #BeTheChange ? How?
Emotion: sadness
Intensity score: | 0.854 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @TheVulcanSalute , just saw the Save The Day PSA. Why were you in obvious tears doing it? I'd have thought you'd be your cheerful self.
Intensity score: | 0.516 |
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: @wowairsupport it world be great if the live support was actually helpful #nightmare
This tweet contains emotions: | fear, pessimism |
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: @ankitaverma45 @honey5991 rejoicing over someone's sadness is bad but when #Karma is cencerned then definitely some people deserve it..
This tweet contains emotions: | anger, disgust, sadness |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: I want my highlight to be so bright that if I ever get lost and someone is looking for me in the dark, they'll find me.
This tweet contains emotions: | anticipation, optimism |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @rosalarian i hate post con blues! But i avoided the plague too yay!! Yay constant hand sanitizer!!!
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @mcjamie sadly. It's just.. Did the dude have to yell out the frogs name at the Clinton rally that one day. It changed everything
Intensity score: | 0.355 |
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: Everyday I wake up, a different @SpursOfficial player signs a contract extension! Love it!! #future #is #COYS
Emotion: joy
Intensity class: | 3: high amount of joy 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: Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️
Emotion: sadness
Intensity class: | 2: moderate 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: I'm so annoyed/sad YouTube is burning itself to the ground 🙄🙄
This tweet contains emotions: | anger, disgust, sadness |
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: I really really resent having to go to bed at a sensible hour, you guys. I WANT TO TALK TO MY PEOPLE.
Emotion: anger
Intensity score: | 0.542 |
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: the thing with Twitter is i only remember to tweet when i'm bored or alone and then it comes across like i have a really dull and sad life.👽
Emotion: sadness
Intensity class: | 2: moderate amount of 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: Everything I see of American police training seems calculated to trample human dignity, inflame outrage, and escalate confrontations.
Emotion: anger
Intensity score: | 0.604 |
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: @JuliaHB1 Bloody right
Emotion: anger
Intensity class: | 2: moderate 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: @POCX100 Please don't sulk over your defeat. Come on. Head up!
Emotion: sadness
Intensity score: | 0.250 |
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 think you've got it together for a day then you randomly burst out crying
This tweet contains emotions: | 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: A shy failure is nobler than an immodest success.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @eileen_davidson on RHOBH, you just do not want to assume an affair while you were married so you criticize @LisaVanderpump!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: #quote What U #fear controls U. Fear is not out in life but in ur mind. Real difficulties can be overcome - Cheryl Janecky
This tweet contains emotions: | fear, 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: In my room 101 would go Russell Howard,Tom Odell,Michael Buble!!! #pants #nogood
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: Ive always wondered how long Angelina put up with Brad's crap. Not gon lie 😐
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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