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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: She began to squirm beneath @hcllbent, struggling to get out of his relentless grasp. When she realized that the attempt was useless,++
Intensity class: | -2: moderately negative emotional state 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: @RadioX @ChrisMoyles wow. not heard this in forever. Random but. great #xph
This tweet contains emotions: | joy, love |
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: It's never the end / When the moment is dire. / A small spark of hope / Can relight a new fire.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --
Emotion: joy
Intensity score: | 0.537 |
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: im thoroughly in love w zen and jumin and i dont think id even have the patience for either of them irl im old and weary
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: I added Paul Walker on Xbox but he just spends all of his time on the dashboard. #humor #funny
Emotion: sadness
Intensity class: | 0: no 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: @DRUDGE_REPORT @FoxNews good thing the FBI didn't offend them!
This tweet contains emotions: | 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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome
Emotion: anger
Intensity class: | 3: high amount of anger 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: @S_Moore24 wow that sounds terrific
Intensity score: | 0.661 |
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: Had to delete my Facebook too much for me 🤣
This tweet contains emotions: | anger, disgust, sadness |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #anger #sadness
Intensity score: | 0.194 |
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: or when someone tells me I needa smile like excuse me ??? now I'm just frowning even harder are you happy
Emotion: sadness
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: Really.....#Jumanji 2....w/ The Rock, Jack Black, and Kevin Hart...are you kidding me! WTF! #ThisIsATerribleIdea #horrible
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: A lifetime of laughter at the expense of the death of a bachelor
Emotion: joy
Intensity class: | 0: no 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: If you love something, let it go. If it comes back, it is yours. If it doesn't, it never will. #sadness #accepting
Emotion: sadness
Intensity score: | 0.771 |
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: #rocklandcounty get to ravis in suffern, ny. Great food, new #chef, terrific atmosphere. Say 'twitter' to server and get free #appetizer
Emotion: fear
Intensity score: | 0.125 |
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: Don't blame yourself,' he spoke, as if she were in the room, kicking the chair beneath him.\n#amwriting #dark
Emotion: sadness
Intensity score: | 0.479 |
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: Getting so excited for @ClearwaterJazz 2016!! We play the main stage Sunday Oct. 16 at 3:30!! #jazzholiday #riesbrothers #rock #blues #jam
Emotion: sadness
Intensity score: | 0.125 |
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: @virginmedia I've been disconnected whilst on holiday 😤 but I don't move house until the 1st October 🤔
This tweet contains emotions: | anger |
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: Misery loves company. The church ought to be a place where it finds none.\n-Pastor Kris Theobald #joy
Emotion: joy
Intensity class: | 0: no joy 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: Delete this shit Josh just screenshotted my snap me
Emotion: anger
Intensity score: | 0.583 |
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: @JamieSmart93 that was shocking!
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: @CallofDuty how do u guys determine teams? Cause I'm 80% on shitty teams when I play and I'm fuckin over it #cod
This tweet contains emotions: | anger, disgust |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: When my life became such a concern to irrelevant ass people I'll never know
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: Stuck in a infuriate scrum about hegemonists. #scrum #scrum #Stuck
This tweet contains emotions: | anger, disgust |
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: @tootaehyung omggg i'll be bloated then ;;-;; but it's a wonderful idea i'll start doing it tomorrow!!
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: Can't believe @virginmedia are putting their prices up!! They already know I'm struggling to pay my bill & won't change my package!! #raging
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: @hotpatooties more like quickie divorce
Emotion: fear
Intensity score: | 0.216 |
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: What I would give\nTo feel the sunlight on my face\nWhat I would give\nTo be lost in your embrace 🎧\n\n#Fallen
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: alternate reality where @PoetryFound has a comments section and you can give poems a cheery thumbs up or a disappointed thumbs down
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: It's the most magical time of the year......Xmas party announced and the #outrage commences. Gotta love Silicon Valley millennials.
This tweet contains emotions: | joy, love, optimism |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Not letting anyone anger me or change who I am.
Emotion: anger
Intensity score: | 0.265 |
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: What's worse than feeling discouraged? Not finding an emoji for feeling discouraged
Emotion: anger
Intensity score: | 0.547 |
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: @billie21806 @cnnbrk tell that to your bodies cheering on the deaths of black people by cops. their fear is killing us.
This tweet contains emotions: | anger, disgust, fear, pessimism, 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: A warm #smile is the universal language of kindness William Arthur Ward #love #kindness
This tweet contains emotions: | joy, love, optimism |
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: #Afghanistan Vice President Sarwar Danish slams #Pakistan for breeding #terrorism during UNGA address\n@UN #USA
Emotion: fear
Intensity score: | 0.583 |
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: Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory!
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: Evening all. Don't forget it's #RobinHoodHour TONIGHT 🏹\n\n#bizitalk #bizhour #southyorkshire #MansfieldHour #chirp #sheffieldHour #NottsHour
Emotion: joy
Intensity score: | 0.442 |
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: @SageHillfarms @HintonAlisa @hb_heather Hey, Jayme! Were your👂👂 burning cuz I was talking about you?😁 Are you going tomorrow?
This tweet contains emotions: | anger, anticipation |
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: That was a fast response madrid.....Zidane threaten unuh
Emotion: fear
Intensity score: | 0.396 |
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: Leon's cheerfulness is always a big help.
Emotion: joy
Intensity score: | 0.625 |
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: Hmm...looks like no one @Tampax is available to respond. Its like waiting for a #doomsday reply. That #burning question with no #answer
Emotion: sadness
Intensity class: | 0: no sadness 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: Gas prices are hilarious. Cause they're simultaneously super subsidised and taxed
Emotion: joy
Intensity class: | 0: no 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: Hey @SuperValuIRL #Fields in #skibbereen give your online delivery service a horrible name. 1.5 hours late on the 1 hour delivery window.
Emotion: sadness
Intensity class: | 1: low 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: @JusticeWillett Lord, we don't understand tragedy. Do what You do best: bring good grom it and comfort those who mourn. Amen
Emotion: fear
Intensity score: | 0.431 |
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: Celtic sure know how to send a wild shiver down your spine
Emotion: fear
Intensity class: | 2: moderate amount of 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: Some People hate nothing more than a happy confident person. Never mind #confident
Emotion: joy
Intensity score: | 0.318 |
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: Better mood today! Bring me #teasing, #flirting, #xdressers, #laughter, and #roleplayers! Also #confessions and #secrets @underdeskloser
Intensity class: | 2: moderately positive emotional state 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: @SimplyMayaMarie @STILLStanding_B 😂😂😂 y'all know I'm crazy its just shocking that's all
Intensity class: | 1: slightly positive 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: #smile every morning to a positive head start with your #clients relations
Emotion: joy
Intensity score: | 0.562 |
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: Come and join in with #cakeclubhour tomorrow afternoon from 3pm! #bizhour
Emotion: joy
Intensity score: | 0.439 |
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: When you realize there is #NoHopeForHumanity so you just #start focusing on what's #best for you.
Emotion: fear
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: Dates in the glove box' is pure panic excuse #GBBO
Emotion: fear
Intensity score: | 0.688 |
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: Not sure if thats an accomplishment or something to worry about
Intensity class: | -1: slightly negative emotional state 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: Am I the only person who dislikes fall? #FirstDayofFall #leaves #thingsdie #depressing #cold #noflipflops 👎🏾👎🏽👎🏻🍂🍁
This tweet contains emotions: | anger, disgust, sadness |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @alyssasimpson21 I gave up KENDRICK LAMAR to eat barbecue with him. #bitter
This tweet contains emotions: | anger, anticipation, 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: We have left #Maine. #sadness
Emotion: sadness
Intensity score: | 0.771 |
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: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder
This tweet contains emotions: | anger, disgust |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: If Monday had a face I would punch it #monday #horrible #face #punch #fight #joke #like #firstworldproblems #need #coffee #asap #follow
Emotion: fear
Intensity class: | 0: no fear 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: @JoyceMeyer @mrsglessman #day of #vengeance of our #God; To #comfort all who #mourn, To console those who #mourn in #Zion, To give [4/7]
Intensity class: | -2: moderately negative emotional state 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: Your glee filled Normy dry humping of the most recent high profile celebrity break up is pathetic & all that is wrong with the world today.
Emotion: joy
Intensity score: | 0.100 |
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: #firsttweetever sippin #hotchocolate wondering #why I finally gave in <3 haha #hellloooootwitter - ...its because #facebookisforfamily #rage
Emotion: anger
Intensity score: | 0.542 |
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: Have the producers of @soverybritish ever been outside of their country? These are universal problems. #worldwide
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: @ThePerfectBrit || I smell your fear.
This tweet contains emotions: | anticipation, fear, 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: #TerrorStatePak we r confirm that #navazsharif is post graduate distinction student of university of #terrorism. He can't spare himself.
This tweet contains emotions: | fear |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: @TheBadgerBoy check out the article on @SaintSkipper5 on @dailyecho
Emotion: fear
Intensity score: | 0.146 |
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: stg I been in pine bluff all morning and to piss me off even more, my damn shoes came in as a size 4!!!!!! I KNOW I SAID 6🙄🙄🙄🙄 FML
Emotion: sadness
Intensity score: | 0.583 |
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: How was Natalie one of the top three favorites?! #toofaced and #bitter 🙄
Emotion: anger
Intensity class: | 3: high amount of anger 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: @BoardEveryday @turnorder @pinchback21 80s new wave/techno - or jazz / blues depending my mood
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: @JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the--
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: I am just so bitter today 😐
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: A cheerful heart is good medicine, but a crushed spirit dries up the bones -Proverbs 17:22-
This tweet contains emotions: | joy, 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: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
Emotion: sadness
Intensity score: | 0.479 |
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: @Elliot_Eastwick just play rappers delight and have a 15 minute kip
This tweet contains emotions: | anticipation, joy, optimism |
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: @Devilligan It's a beautifully sincere balancing act of grief and hilarity.
Emotion: joy
Intensity score: | 0.375 |
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 want to pour all my tears on someone right now. So tired of this #upset
Emotion: sadness
Intensity score: | 0.938 |
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: second day on the job and i already got a 45 dollar tip from a dude whose was constantly twitching his eye LOLOLOL #cheering
Emotion: joy
Intensity score: | 0.854 |
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: Time for bed in a real bed after four nights camping. #bliss
This tweet contains emotions: | anticipation, joy, optimism |
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: Watch this amazing live.ly broadcast by @hannah..mccloud #musically
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I don't know what's worse, the new Pizza Hut commercials or the pizza that Pizza Hut makes. #horrible
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: @JohnMayer No DSM shows. #sadness
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate.
Intensity class: | -2: moderately negative 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: i've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be.
This tweet contains emotions: | anticipation, fear, pessimism |
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: EEEEEKKKK!!!!\nProduct LAUNCH 😍✋💖\nI'm am literally B•U•Z•Z•I•N•G!!!\nSingle sachets 😍😍\n \nMessage me for yours! 😜🙆💜#loveyourlifestyle #shakes
Intensity class: | 3: very positive 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: ok so i got my madden 17 refunded but now i gotta wait a few days for the money and now gotta pre-order fifa again....
Emotion: anger
Intensity class: | 1: low 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: @StarklyDark 'I know you trusted me.' His words were soft as he ignored the anger and focused on the hurt beneath. 'I know I screwed up.' --
Emotion: anger
Intensity score: | 0.562 |
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: #Peiyophobilia :) An advice from @anirudhofficial don't fear for #Devil! Sure shot✌ @iam_str voice more energetic.Xtremly foot tapping one 👌
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: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees 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: It's 5:55am. I'm hungry but there is no food. #panic
Intensity class: | -3: very negative emotional state 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: backed pats -2.5 10/11 just before #pleasing
Emotion: joy
Intensity class: | 0: no joy 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: #Hopkinsville #Ky is #total #eclipse #capital of #world #August 2017 #dancing n #moon #dark #eclipse2017 #EclipseAcrossAmerica #Edgar #Cayce
Emotion: sadness
Intensity score: | 0.321 |
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 finally left the dark room I've been crying in & instead of getting some sun on my translucent skin, I got 6000 mosquito bites. #blessed
Emotion: joy
Intensity score: | 0.242 |
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: @AJStylesOrg I know they have you a scripted ego maniac but, I was so elated to hear that you are a devout Christian like myself. Phenomanal
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Time wounds all heels.\n\n#DrunkJesus #rt #lol #wisdom #quote #comedy #self #Revenge #grudge #hate #time #funny #politics #Trump #POTUS2016
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @SkySportsRL i would just get some decent referees
Emotion: fear
Intensity score: | 0.192 |
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: @PuseLepuru it's the irritation of not having found the corpse
Intensity score: | 0.200 |
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: @Briardpup @dogworldnews Did they get the wrong fur Pal? #shocking 😱
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest
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: @SenatorReid @HillaryClinton @DanEggenWPost @realDonaldTrump Even the painting is orange! #Election2016
This tweet contains emotions: | joy, optimism |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: I'm sorry but also...fuck you #currentfeels #anger #bpd #eupd #borderliner #mentalhealth #anxiety #depression #confused
This tweet contains emotions: | anger, disgust, sadness |
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