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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @ruthwalford95 you may be right, but since year the bad events begin with B, I'm privately hoping we've got at least C-Z to go 1st
Emotion: joy
Intensity score: | 0.229 |
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: .@DIVAmagazine than straight people. Even the arse straight guys who think that means a threesome is fine.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @CarolynTopol Ciara asks was it a sci-fi movie, Julie & Jen just stare, Claire on her phone, Joey bolts when the cab honks. LMAO
Intensity score: | 0.750 |
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: Can't believe @virginmedia are putting their prices up!! They already know I'm struggling to pay my bill & won't change my package!!
This tweet contains emotions: | anger, disgust, surprise |
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: Two blankets, a hoody, and still no Eternal Sunshine to mope to.
Emotion: sadness
Intensity score: | 0.562 |
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: #Sports Top seed Johnson chases double delight at Tour Championship
Emotion: joy
Intensity class: | 1: low amount of joy 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: watching my first Cage of Death and my word this is tremendous
This tweet contains emotions: | joy, love |
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: @beingbrilliant @johnmurrays you're welcome. It's genuinely made me give my head a wobble and realise what's important in life. #smiling
Emotion: joy
Intensity class: | 2: moderate 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: @patthemanager how could I work with @chancetherapper . ? #serious
Emotion: sadness
Intensity class: | 0: no sadness 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: A little nose irritation and a little more chills on my body. I'm so not into flu, into flu, into flu #FallSongs
Emotion: anger
Intensity score: | 0.542 |
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: @Babylonian I convinced my mom to watch it. Killgrave gave her literal nightmares, but watched last episode four times.
This tweet contains emotions: | fear, joy, 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: She's foaming at the lips the one between her hips @realobietrice, one of many great lyrics
Emotion: anger
Intensity class: | 0: no anger 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: Happy Birthday shorty. Stay fine stay breezy stay wavy @daviistuart ๐
Intensity class: | 3: very positive emotional state 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: #ArchangelSummit @sethgodin Anyone can be brave but you just have to last 5 mins longer than everyone else. #leadership #fear
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #OneSimpleChange: Drink sparkling water instead of soft drinks to steer clear of fructose while still getting a refreshing carbonation kick.
Emotion: joy
Intensity class: | 0: no 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: Dylon felt dejected. He has a dejected aunt!
Emotion: sadness
Intensity score: | 0.562 |
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: Maybe @SamHeughan can send me good luck on my job interview tomorrow. #nervous ๐ณ
Emotion: fear
Intensity score: | 0.792 |
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'm much to full of resentment
Emotion: anger
Intensity class: | 3: high amount of anger 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: He's seriously so frustrating sometimes! (โฏยฐโกยฐ๏ผโฏ๏ธต โปโโป #ugh #raging
This tweet contains emotions: | anger, disgust, sadness |
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: This is the scariest American Horror Story out of all of them... I'm gonna have to watch in the daytime.
Emotion: fear
Intensity score: | 0.742 |
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: @NicKeaney Hope they refuse :( x #depressing
Emotion: sadness
Intensity score: | 0.792 |
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: Tonight's #DragRace #AllStars2 episode GAVE ME LIFE! Yaassss queens! #teamalaska #teamkatya #revenge #bwahaha
Emotion: anger
Intensity score: | 0.200 |
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 fear not the truth, even if it be gloomy, but its counterfeit.-ย Berl Katznelson
This tweet contains emotions: | anticipation, 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: We want to help you with your #depression. Give our office a call to learn how #TMS may be the treatment you've been waiting for!
This tweet contains emotions: | anticipation, optimism, 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: In #Bangladesh war, #US almost bombed us had #Russia not been there. What strategy for #China on #Pakistan? Time ripe to crush #terror camps
Emotion: fear
Intensity score: | 0.812 |
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: @simslover163 I guess it must be really expensive... For me it's that the whole family stayed in Poland, so I really miss them...
This tweet contains emotions: | anticipation, 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: Last @LGCanada product I buy - I promise! Absolutely #CustomerService
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: @tomsteinfort expected i thought #fear
Emotion: fear
Intensity class: | 1: low amount of 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: With a jovial Trump on his ass, Don King just publicly told a crowd that 'We need [him] because you will always be a nigger.' #FuckTrump
This tweet contains emotions: | anger, disgust, sadness |
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: @rockcock64 cum and despair
Emotion: fear
Intensity score: | 0.604 |
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: You got some dick recently right, you're happy, you're not sick and you're smiling. Life is good' ๐ญ๐ญ๐ญ
Emotion: joy
Intensity class: | 1: low amount of joy 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: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #fuming #NoWorkForMe
Emotion: anger
Intensity class: | 3: high amount of anger 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: When you're scared to press send #bgoodthepoet #PrayForMe #ThisIsAGodDream #career #help #heart #HeartRacing
This tweet contains emotions: | anticipation, fear, 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: You want bad service use #frontier they have #terrible service. Go to #AT&T anybody is better. I am going to complain to better business
This tweet contains emotions: | anger, disgust |
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: Might just leave and aggravate bae
Emotion: anger
Intensity class: | 1: low 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: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Defining yourself in terms of opposition, i.e. the clouded mirror phenomena, is almost always a mistake.
This tweet contains emotions: | anger, anticipation, disgust, pessimism |
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: Another joyful encounter in Tribez & Castlez! I just met Bartolomeo! Do you want to know who that is? Download the game and find out!
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: I'm always smiling so that's why I'm always happy ๐
Intensity score: | 0.891 |
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: With only 7 months left until I possess my undergraduate degree, I feel like I can't handle adulthood anymore #nojobsinbiology
This tweet contains emotions: | anger, anticipation, fear, pessimism |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @MUTGuru I know guys that sink $1000s into the game and only to build a team and play solos. But this hear you make nothing on solos.
Emotion: sadness
Intensity class: | 0: no sadness 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: @DarkLuneFantasy wallah my blood is boiling I need to take a nap ugh
This tweet contains emotions: | anger, disgust |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @GigaFag @pipertownsend_ snapchat new would beg to differ #optimism
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: Sometimes the best motivations come from 'proving them wrong' #energy #relentless #MotivationalQuotes
This tweet contains emotions: | fear, 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: @amymarsden_wtf I'm as pure as the driven snow after it's been pissed on by multiple rabid dogs
This tweet contains emotions: | anger, disgust, pessimism |
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: This weather got me fucked up. Like you either be sunny and hot or gloomy and cold. No in between.
Intensity class: | -3: very negative emotional state 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: An adviser to the #European #Unionโs top #court said #Hamas and the #Tamil #Tigers should be taken off the EUโs #terror list.#lka
Emotion: fear
Intensity score: | 0.500 |
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: What a great training course, lots of photos, fun and laughter. Photo's will be up soon #Boostercourse #fun #laughter
This tweet contains emotions: | joy, optimism |
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 tired of people telling me the worry about me when in fact they probably never gave a fuck about me
Emotion: fear
Intensity score: | 0.729 |
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: @ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt
This tweet contains emotions: | disgust, fear |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @nytimes I'm trying to imagine the first response of a President Trump to an act of terror. The thought itself terrorizes me.
Emotion: fear
Intensity score: | 0.854 |
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: Just wish I was appreciated for all I do! When is it my turn to be taken care of!! I want a break!! #tired
This tweet contains emotions: | pessimism, sadness |
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: Who likes #werewolves and #horror and #surfing? Because BREAKER over on @readstela has all that and MORE.
Emotion: fear
Intensity score: | 0.438 |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: if anyone spoils any of my fucking shows I will haunt you in the afterlife so help me god
This tweet contains emotions: | anger |
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: I'm so over having anxiety
Emotion: fear
Intensity class: | 3: high 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: @EBled2 Great to have you as our tournament chair and award was #serious
This tweet contains emotions: | joy, surprise |
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: Whatt a trailerrrr !!! @karanjohar @AnushkaSharma #RanbirKapoor #AishwaryaRaiBachchan i am COMPLETELY BLOWN !! #longingformore
This tweet contains emotions: | anticipation, joy, optimism |
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: @ditzkoff @jpodhoretz Thereโs not a metaphor in the world that will get at the hilarity of jpod pronouncing on humor.
This tweet contains emotions: | joy, optimism |
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: @makemytripcare but what I am doing is in my control, #AvoidMMT , you guys are #terrible
This tweet contains emotions: | anger, disgust |
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: โDo not fret if you are not cool! Humans who follow me, become instantly cool!โ #Bot
This tweet contains emotions: | joy |
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: @VanDashNessa @taotao_salupa5 Nobody in that street burning and looting and terrifying innocent citizens was there, either.
Emotion: anger
Intensity score: | 0.556 |
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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny
Emotion: joy
Intensity score: | 0.245 |
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: In honor of Shawty Lo passing away I made Dey Know my new alarm clock song so I wake up with the right attitude everyday lol
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: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too
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: @_MariaPetrova should have stopped after 'smiled'. Being rude=not the same as being funny.It was just being mean #bully #stoppickingonwomen
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Accept challenges in life, so that you may feel the exhilaration of victory.
Emotion: joy
Intensity score: | 0.500 |
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: lol! no mention of pak PM or even his speech on any international news channel and pakis are rejoicing as if the world stands with them
Emotion: joy
Intensity score: | 0.396 |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: I've returned from the dead with a desire to clean the apartment and eat something that isn't garbage. #managing #depression
Intensity score: | 0.125 |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I just love it when people make plans for me without actually including me in this process
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: with terrorism a booming industry in Pak and govt. oblivious of the fact wt happens within its territory Talking Kashmir is Deranged
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. #outrage
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: @1johndes ball watching & Rojo'd header was equally dreadful!!
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: yesterday i finished watching penny dreadful and from all the beautiful things i saw one question remains: were the writers HIM's fans?
Emotion: fear
Intensity score: | 0.354 |
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: Sanatana Lopez is definitely me ๐ #glee
This tweet contains emotions: | anticipation, joy, optimism |
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 feel like singing the song human sadness by Julian Cassablancas and The Voidz or some other sad music. #depression #sad #sadness
This tweet contains emotions: | pessimism, sadness |
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). | Tweet: @mikeburke91 @AP I guess. It's just heartbreaking the ease with which they can kill an innocent man and get away with it. #indignation
Intensity score: | 0.156 |
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: @VivienLloyd Thank you so much! Just home - stunned but so happy. Don't think it has sunk in yet! Wow.
Emotion: sadness
Intensity score: | 0.104 |
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: @paulbushnell25 @EE bad news if ordered online it hasn't gone through same happened to me had to re order on the phone
This tweet contains emotions: | anger, sadness |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: 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: 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: But uncle buck is on tho . #UncleBuck
Emotion: joy
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: @BlizzHeroes I feel horrible dealing with 'players' in HotS. News on what you're doing about it? Getting stuck with uncooperative people!
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: People fuckin irritate me
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: jamming out to fury in math class wanting to die hbu
Emotion: anger
Intensity score: | 0.479 |
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: @Harry_Styles ๐\nHeart so pure and smile\nso bright, I love you\nmore than the number\nof stars at night.\nKindly follow me please\nHarry?\nโ90,127
This tweet contains emotions: | joy, love, optimism |
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: #smackdev #ptp #start oh yeah!
Emotion: fear
Intensity score: | 0.120 |
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: @JoyAnnReid you're right choice I had to slam him he is one ignorant man and I really resent that statement Don King is an embarrassment
Emotion: anger
Intensity class: | 3: high 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: @Freepenalties @TMortimerFtbl Doll is a vile creature on the touchline. Every game he has tantrums & shouts at the ref. Would love to see
This tweet contains emotions: | anger, disgust, joy |
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: @CrucialBMXShop ohh silver lake came up a lot on there! Is that where you guys stayed?
This tweet contains emotions: | anticipation |
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: When a guy comes on the train that smells like a mixture of a damp dog, old sweat and sewage works!!!!#gross #horrid #getoffthetrain #smelly
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: tfw you're en-route to your future :) !! @HUCJIR i'm coming for ya! #openhouse #futurecantor #exhilarating #NYCletsgo
Emotion: joy
Intensity score: | 0.657 |
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: @CNN please fire don lemon!!Do not let him report on anymore protest. He is #horrible #negative and runs away from the issue at hand!
Intensity class: | -3: very negative 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: @GroovyBruce @larsrjs44 @AshvsEvilDead the 'groovier' part is an affront to common decency. No way @VancityReynolds agrees.
This tweet contains emotions: | anger, anticipation, disgust, optimism |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: @CP24 And I hope when the police met him at the subway that they took him straight to jail ๐
Emotion: fear
Intensity score: | 0.583 |
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: @RobertTaitWHU against Chelsea anything is possible haha. I'm fuming about that bet ๐๐๐๐๐๐
Emotion: anger
Intensity score: | 0.646 |
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: I saw her, whose countenance expressed a mighty rivers were monotonous, and her lively conversation took care of the various
This tweet contains emotions: | |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @tariqmateen but sadly he missed some crucial and important points. Indian terrorism in pk, kal Boshan, etc.. Raw involvement
Emotion: fear
Intensity score: | 0.558 |
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: @kimdelacreme_ @Srgohdatzme305 I'm there... let me know #sober
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: luv seeing a man with a scowl on his face walking with a protein shaker clenching his fists. i immediately stop n suck his dick
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: #quote What U #fear controls U. Fear is not out in life but in ur mind. Real difficulties can be overcome - Cheryl Janecky
Intensity class: | 0: neutral or mixed emotional state 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: Check out this #film Robocoq 301 #animated #shortfilms
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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