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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: @Deadspin @Rlblack1Rob My guess is he's just a convenient target for misplaced anger. What they're really mad at is how they played.
This tweet contains emotions: | anger |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @SharadK7 awaiting to see ur new avataar #rowdy #action #angry young man
Intensity score: | 0.431 |
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: @CBCNews Canada should be a driving force of democracy freedom rights - instead we help #dictator #misogyny #Sharia #Islam #terror #polygamy
This tweet contains emotions: | anger, disgust, fear |
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: Marcos Rojo Marcos Rojo running down the wing. Loved by the blues, feared by the reds
Emotion: sadness
Intensity class: | 0: no sadness 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: @bt_uk why does tracking show my equipment delivered, when it wasn't? Why is my service suddenly delayed? We've already 3 weeks.
This tweet contains emotions: | anger, disgust, sadness |
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: Awareness of time is awareness of time lost. #awareness #time
Emotion: sadness
Intensity score: | 0.417 |
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: Seeing double am so tired but I always grudge getting off my phone at night 🙄
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: Don't let fear hold you back from being who you want to be. Use it's power to push you towards your goals. No more fear, just action. #fear
Emotion: fear
Intensity score: | 0.292 |
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: @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 score: | 0.625 |
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: Jay Z and Brad Pitt cheated ..Bey stayed Angie left #cheaters #love #lust #sex #couples #relationships #date #marriage #divorce
This tweet contains emotions: | anger, disgust, love, sadness |
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: Happy Birthday shorty. Stay fine stay breezy stay wavy @daviistuart 😘
Intensity class: | 3: very positive 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: 3years today marks the anniversary of that horrid Westgate Attack in Nairobi. My heart out to all those of us who lost our family & friends🕯
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: Function in regard to camshaft exhilaration companies: CQHshJSI
This tweet contains emotions: | |
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: @AMB4JC @drtonyevans It's our job, the job of people who r still sane,still ok in life, to help the lost to find themselves & love eachother
This tweet contains emotions: | joy |
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: Urgent need to get a new job. The constant gloom of my current one is getting a bit ridiculous now.
Emotion: sadness
Intensity score: | 0.771 |
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: There's a specific joyous 20 song title engiybhekayo, yasezayoni. Need it for le mood
This tweet contains emotions: | joy, optimism |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: you are an angry glass of vodka
Emotion: anger
Intensity class: | 0: no anger 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: #nana 4 hoco bc my dream since freshman year awe 😙❤❤❤ @thecandeyman
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: And im not even going to get into how its discriminatory to several religions which mandate its followers to let their hair dread.
Emotion: fear
Intensity score: | 0.604 |
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: #TerribleDebateQuestions Madame Secretary, isn't it true that Russia is behind all terrorism?
This tweet contains emotions: | anger, disgust, fear, 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: @zavvi @zavvihelp only offering 6 moth warranty #ps4pro #shocking #truth #ripoff
Emotion: fear
Intensity score: | 0.562 |
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: @PerfectQuartz She's jogging a bit to stay beside her, puffing her cheeks with a huff each time. 'Oh-- jeez Jasper, why don't you —
Emotion: anger
Intensity score: | 0.375 |
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: @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: 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: @JustinTrudeau opened doors to terrorism and he will pay for it. @CP24 @globalnewsto
Emotion: fear
Intensity class: | 0: no fear 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: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' -Sherlock Holmes-
Emotion: joy
Intensity class: | 0: no joy 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: @SouthernRailUK delays from Streatham Cmn to Clap Junc & now train took 20 mins for 9 mins journey. Missed 2 trains to Reading
Emotion: anger
Intensity score: | 0.583 |
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: Police don't wanna be called pigs but they keep actin like em....honestly that's even an insult to pigs
Emotion: anger
Intensity score: | 0.840 |
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: If you sober better roll another Dutch or if u don't smoke nigga better pour another cup 🍁🍾...
Emotion: sadness
Intensity score: | 0.312 |
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: No, just tweet pictures of four fictional characters who describe you. One should be an animated character. @sunshinessp411
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: im what a 90s tv bully would call 'a nerd' but i would rather shove one thousand nickels into my right earhole than go to new york comic con
This tweet contains emotions: | anger, disgust |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: @tmz @HarveyLevinTMZ Hell hath no fury like a women scorned. It's the affair. Not the parenting
Emotion: anger
Intensity score: | 0.667 |
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: Can't believe @haven ring my parents NOW when they go tomorrow to say no disabled washing facility for my wheelchair bound dad
This tweet contains emotions: | anger, disgust, sadness, surprise |
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: @oreillyfactor why dont #blm #thugs want #justice when its black on black #gang crime? They only #rage and cry #racism when its a #cop
Emotion: anger
Intensity class: | 3: high 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: @wabermes The @RavalliRepublic had a good one but then the reporter quit. #sad
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: #ArchangelSummit @sethgodin Anyone can be brave but you just have to last 5 mins longer than everyone else. #leadership #fear
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). | Tweet: @Blancalanka96 thought it'd be fun and it is not fun but on the bright side I don't have to fight for parking
Intensity score: | 0.448 |
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: Half of Epicenter is shut down its police all over y'all I just burst out in tears this is fucking terrible #KeithLamontScott
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @wwcummings @USATODAY this individual is clearly trying 2 #intimidate this #LEO I see an issue here. STOP CAUSING ISSUES by pushing limits!!
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: the prospect of getting choked out by a hot daddy tonight is sorta cheering me up but I also kinda just wanna watch the new AHS episode lol
Emotion: joy
Intensity class: | 0: no 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: A goal should scare you a little, and excite you a lot. - Joe Vitale #quote
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: @MSNBC @fox @cnn @realDonaldTrump @HillaryClinton. Using fear to state his views. Not getting the facts before making a serious statement???
Emotion: sadness
Intensity score: | 0.417 |
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: @curlygirlmimi guess is cause you small and girly. I dunno how this works.. I did frighten though.. She's. A big'un
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: can't believe Achilles killed me!
Emotion: anger
Intensity class: | 2: moderate 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: a #monster is only a #monster if you view him through
Emotion: fear
Intensity score: | 0.438 |
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: Banger sit in 2013 reason why we great doings him alias for why we rejoice in he.: kzfqR
This tweet contains emotions: | joy |
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: @SkySportsRL i would just get some decent referees #shocking
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: @caeruleusV @Atheist_Penguin @misogynaut I threaten you because I can pussy
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Every dancers dream song #snap #worldpower
Emotion: anger
Intensity score: | 0.188 |
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: On the bright side with YouTube heroes leafy will finally get banned
Emotion: joy
Intensity score: | 0.327 |
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: All options are on the table - #revenge is coming.
Emotion: anger
Intensity score: | 0.458 |
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: Be happy not because everything is good, but because you can see the good side of everything.
Emotion: joy
Intensity class: | 2: moderate amount of joy 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 cant live anymore my roblox got termianted :(((((((((((((((((((((((( #killme #lol #robloxgamer
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @chloemcaleese what a nightmare!
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: What do you get when you cross an #apple tree and a #pine tree? 🍎🌲\nNothing. You can't cross-pollinate #deciduous and #coniferous #trees.
Emotion: sadness
Intensity score: | 0.146 |
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: | At home sick... 🎼The blues🎼 won't cure it so I need ideas 🎸😭 | #sorethroat #sick #blues #music #fallweather #carletonuniversity #ottawa
Emotion: sadness
Intensity class: | 3: high amount of 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: Val downing a bottle of vodka there to stop her from shaking! #GBBO
This tweet contains emotions: | joy |
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: @arppaul @chetanlfc @mannkakhiladi @dey_spandan @umeroffcial Comparing Akshay Sir with this zandu balm is an insult to Akshay Sir.
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: #amwriting #horror in the dark and a loud creaking door noise is coming from the kitchen. There are no doors there to creak. WTF.
Emotion: fear
Intensity class: | 3: high amount of fear 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: Ugh.. Why am I not asleep yet. Fml. I think low key I'm afraid I might miss something. #SleeplessNight #sleepy #restless
This tweet contains emotions: | fear, pessimism, sadness |
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: Rooneys fucking untouchable isn't he? Been fucking dreadful again, depay has looked decent(ish)tonight
Emotion: sadness
Intensity score: | 0.479 |
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: @ShannonBeador we know the truth about her, the public is figuring it out. Her words mean nothing. #unhappy #mean #troubled #vile
Emotion: fear
Intensity score: | 0.542 |
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: Good morning joyful people. Choose happiness to have a great day today #morning #happiness #grandmercurejktkemayoran
Intensity class: | 3: very positive 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: Be quick to #listen, slow to #speak, and slow to .
Emotion: anger
Intensity score: | 0.121 |
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: @RashidAlMaktoum For #serious #intermediaries all required info about #project or #Owner will be mailed.
This tweet contains emotions: | joy |
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: I really hate Mel and Sue. They think they're hilarious and they're just awful
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: TONIGHT - Fulford Arms, York \nTOMORROW - Bank Top Tavern, Oldham\nNEXT SATURDAY- Big Hands, Manchester \n\n#livemusic #punk #blues #rockandroll
This tweet contains emotions: | |
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: Not by wrath does one kill, but by laughter. Friedrich Nietzsche #friedrichnietzsche
Emotion: joy
Intensity class: | 0: no joy 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: Way to get a hold of her 😊 #depressing
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: I take a strange delight from seeing mark Hughes struggle
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: Mom you remember when Narley died? You cried like a baby!
Emotion: fear
Intensity score: | 0.438 |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Class is canceled due to a funeral. Not sure if it's appropriate to be happy or sad.. #happy
Intensity score: | 0.483 |
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: #twd comes on soon
This tweet contains emotions: | |
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: #terrorstatepak #pakistan is a #terror state
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Just put the winter duvet on ☃️❄️🌬☔️
This tweet contains emotions: | joy, optimism |
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: @rheafraserx took them an awfy long time to spot their goal was disallowed ☺️ #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: @lukeshawtime terrible
Emotion: fear
Intensity score: | 0.521 |
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: @SkyUK what a joke!! Cut our internet off early 'by mistake' and then don't reinstate it when we no longer need an engineer 😡
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: @makemytripcare but what I am doing is in my control, #AvoidMMT , you guys are
This tweet contains emotions: | anger, disgust |
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: There's a specific joyous 20 song title engiybhekayo, yasezayoni. Need it for le mood
This tweet contains emotions: | joy, optimism |
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 bet dat dog eating name brand cheerios. cant relate. i eat cheery O's
This tweet contains emotions: | |
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: Well, the lines for Sweden's goals sure sting.
Emotion: anger
Intensity score: | 0.312 |
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: @KatherineArabis It’s taken for granted, while the misogyny in the air is treated as normal — and any angry response to it as pathological.
This tweet contains emotions: | anger, disgust |
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: Benefit out exhilaration called online backing off: JkUVmvQXY
Intensity score: | 0.621 |
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: It was an #amazing #start to the first #fall day. Will it be an #Indiansummer
Emotion: fear
Intensity score: | 0.292 |
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: why do i have such a thing for dark curly hAIR
This tweet contains emotions: | anticipation, love |
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: Jorge deserves it, honestly. He's weak. #90dayfiance
Emotion: fear
Intensity score: | 0.229 |
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: @AshitaNoJoe55 i m not a big fan of @mkatju , but what i found logical and right.. i support that... no offense to anyone
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I just killed a spider so big it sprayed spider guts on me like a horror movie.\n#ugh #revenge
This tweet contains emotions: | anger, anticipation, disgust, fear, 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: @Hannahcolleen06 I have 12 & that's the only one I didn't like 😂 mine comes out patchy. It's the only dark color by her I have tho.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: People stealing things from my work out quite the damper on my day so now I am going to wear pajamas all day
Emotion: sadness
Intensity score: | 0.833 |
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: @ManUtd Rooney needs to come off! Absolutely dreadful! 🙈🙈🙈 class goal from @carras16 @carras16 showing why he should be in the team!!
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: Men in rage strike those that wish them best. #emotions #negative #positive #wish #strike #martial #arts #control #believe #best #hope
This tweet contains emotions: | anger, disgust, optimism |
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: Let's refuse to live in #fear - #c$%t
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: Glad I didn't watch smackdown because I can't see my men @JasonJordanJJ @WWEGable lose. #sohurt
Emotion: anger
Intensity class: | 0: no anger 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: Are there any #horror sites that would be interested in my writing a guest article/review? Been really craving a literary outlet lately.
Emotion: fear
Intensity score: | 0.354 |
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: Mon Celtic, give us something to cheer - place is empty, soaked & its my wee nephew's Birthday ffs, started well, now dropped off.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @WriterlyTweets Supine on the piano—lips parted. #sixwordstory #amwriting #blues #singer
Emotion: sadness
Intensity score: | 0.312 |
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: @cristinalaila1 just when I thought this disgusting man couldn't sink any lower-like Hillary he his depravity of character has no bottom
Emotion: sadness
Intensity score: | 0.667 |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: I wish you stayed in Da Gump I'll make you panic like the last rapper
Emotion: fear
Intensity score: | 0.402 |
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: @GaryLineker yet you and all the other English pundits are afraid to criticise him
This tweet contains emotions: | anger, disgust, fear |
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