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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: Got paid to vacuum up rat poop. (-: never a dull day in the biology department ...
This tweet contains emotions: | disgust, sadness |
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: and I'm up from a dream where I said something really retarded on twitter and it got like 10000 retweets
This tweet contains emotions: | anticipation, joy, surprise |
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: Did u laugh today? Laugh hard? I hope so..we NEED laughter now. #smile #love
This tweet contains emotions: | joy, love, optimism |
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: All this doom and gloom! We scored from open play again! And only conceded two this time. #progress they means a 1-1 draw on Saturday for me
This tweet contains emotions: | joy, optimism |
Task: 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: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts
This tweet contains emotions: | anger, disgust, sadness |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: | At home sick... 🎼The blues🎼 won't cure it so I need ideas 🎸😭 | #sorethroat #sick #blues #music #fallweather #carletonuniversity #ottawa
This tweet contains emotions: | sadness |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). | Tweet: Half past midnight, loud banging on our front door, been told about new rape cases in Edinburgh today #nosleep
Intensity score: | 0.167 |
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: My cat is bloody lucky the RSPCA weren't open at 3am last night!!! #fuming 😡🐱
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: AQW should've always stayed in the 08 art style, now it's just a competition to create more detailed art each time.
This tweet contains emotions: | joy, pessimism |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: I get so angry at people that don't know that you don't have a stop sign on Francis and you do at Foster #road #rage
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: 81' Goal scorer Vidar Kjartansson comes off in favor of Dor Micha! Another terrific performance by @Vidarkjartans #YallaMaccabi
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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: im crying katherine is the only one whos like talking to me during my anxiety attack im gonna faint
Emotion: fear
Intensity class: | 3: high 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: As much as I want a normal little life.. It wouldn't suit me, I'd get restless, I need to just do what I want at all times to be happy 😊
Emotion: fear
Intensity score: | 0.333 |
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: #start ur day wit a smile\n#buviobby
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @Red9Nick @Audi_Nutz @NickBuck08 @Thompson2Neil @Insaniti_LFC @knoller2 @KemlynRoadStand @godisared don't be shy their great people👍🏻👍🏻
Emotion: fear
Intensity score: | 0.250 |
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: @SiobhanSynnot Oh, good God. Quentin Letts is doing one of his 'comedy' turns. #angry @bbcthisweek @afneil #BBCTW
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: @Orrible_Ives I didn't say anything bad about the situation great mate, can't believe some were. Makes me despair of humanity
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: When my life became such a concern to irrelevant ass people I'll never know
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: @Markgatiss I'm surrounded by those Trump voters. You're right, it is fucking terrifying. #redstate #despair
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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: @globemartyk 'drunken patroons' make this whole situation much more jovial though.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: what's the nicest way to tell someone cheerfully whistling outside my apartment door that I will end them should they continue to whistle
This tweet contains emotions: | anger, disgust |
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: People’s deepest passions often scare them too much to admit, even to themselves.
Emotion: fear
Intensity score: | 0.521 |
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: @TheDemocrats dilemma, blaiming everything on the Bushes, but acting gleeful over their endorsement. #Election2016 #Trump
Emotion: joy
Intensity score: | 0.208 |
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: @TheOneSoleShoe that is one thing but attacking and hating is worse - that makes us just like the angry vengeful behavior we detest
This tweet contains emotions: | anger, disgust |
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: @susanbrodigan @lyricconcert Ha yes- the look of despair!
Emotion: fear
Intensity class: | 1: low amount of 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: now that I have my future planned out, I feel so much happier #goals #life #happy #igotthis #yay
Emotion: joy
Intensity class: | 3: high amount of joy 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: I'm such a shy person oh my lord
Emotion: fear
Intensity score: | 0.833 |
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: “The essential Saltes of Animals may be\nArkham’s large outfit from any effects he\nI rejoice that you continue in ye
Emotion: joy
Intensity score: | 0.396 |
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: @nw_autonate \n\n*She held the back of his skull, smiling into the kiss.*
Intensity class: | 1: slightly positive emotional state 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: a panic attack AND CALL YOURSELF A REAL FAN makes me so mad like i dont even have the words to explain. this is why some people give no +
Emotion: fear
Intensity score: | 0.646 |
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: Laudrup and his evil white companions rejoice.
This tweet contains emotions: | anger, disgust, joy, optimism, sadness |
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: Thought I had a pretty solid GPA as a kin major and now that I look at the average for dpt programs I feel even more discouraged 😪
This tweet contains emotions: | disgust, sadness |
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: #Taurus will react angrily when she can't take being provoked any longer.
Emotion: anger
Intensity class: | 1: low amount of anger 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: I wish harry would start tweeting people again
This tweet contains emotions: | sadness, trust |
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: @jessebwatters lol. Love it when you aggravate Juan. Keep up the good work. Lol
Emotion: anger
Intensity class: | 0: no 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: I am often disturbed by what some people find appropriate or acceptable. It's not funny nor cute that adults find this stuff humorous. #sad
This tweet contains emotions: | disgust, pessimism, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Can't believe how nervous I feel tonight...who feels the same #mufc
Emotion: fear
Intensity score: | 0.812 |
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: Who's afraid of the clowns???\ncomment down there....
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: If you truly want more of God in your life, it requires letting go of some of the old things, to allow new things to flourish. #stop
Emotion: fear
Intensity score: | 0.188 |
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: @ChickOfBeauty No! By Y'all I mean rioting, fire starting, business burning, looting ASSHOLES! That create #BlackLivesmatter #terrorism
Emotion: fear
Intensity score: | 0.663 |
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: @strictlysimilak something about English sparkling wine would be good. Or farmhouse cider. Or Italian cocktails. Thanks.
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: It feels good to get outside for a minute and get some fresh air. It's hard to stay cooped up inside all day #breezy
This tweet contains emotions: | joy, optimism |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: So they #threaten to kill #kapernick for KNEELING. I say every athlete just stop playing until social justice and equality comes forth.
This tweet contains emotions: | anger, disgust, fear |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Plus why did I have a baby 4 days before Christmas this is gonna haunt me forever!!!
This tweet contains emotions: | anger, fear, sadness |
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: @omgitsbrittanyy @WittLowry u probably irritate the shit out of him always talking to him. He could probably give 2 shits about u lol 🖕🏻
Emotion: anger
Intensity class: | 3: high amount of anger 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: I need all your attention! If I don't I'll pout..
Emotion: sadness
Intensity score: | 0.417 |
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: @TrevorHMoore @paget_old In Scotland, the right-wingers are the most rabid anti-nationalists. Socialists are mostly in favour.
This tweet contains emotions: | |
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: @AOLUK @JamesHayr @TheDrum Anychance of addressing the communication I sent to you yesterday??? I still haven't had any contact
Emotion: fear
Intensity class: | 0: no 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: @SmileWhileYoDie @KiloSierraC @h0wabouthannah @Drops I'll be okay don't worry
This tweet contains emotions: | anticipation, joy, optimism, trust |
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 don't want speak front to him #afraid #intimidate #nopanicattack
This tweet contains emotions: | 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: #terror test ................
Emotion: fear
Intensity class: | 1: low amount of 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: Doesn't it just suck when you're so real to someone and try to exhilarate every ounce out of them to only see that they're not down
Emotion: joy
Intensity score: | 0.279 |
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: untypical kinda Friday #dull
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: I swear I got anger issues but my heart big AF...
Emotion: anger
Intensity score: | 0.604 |
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 got a short fuse when im sober.
Emotion: sadness
Intensity class: | 0: no 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: This took a melancholy turn but my point is that for all the difficulties I'm still happy. Happy that I get to be who I am.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @GrxjicTank WHY though! Why did u want to offend Americans?
This tweet contains emotions: | anger, anticipation, disgust, sadness |
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: LVG bribed all the refs against Utd for his own personal revenge. That was a foul you prick.
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: @edquinn63 how can you even forget to pick ur fave child up from school
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: No sober weekend 🙂🙂🙂
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various 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: @inthefade going back to blissful ignorance?!
Intensity class: | -2: moderately 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: Gen 8:21 NIV—The Lord smelled the pleasing aroma and said in his heart: “Never again will I… lifelong depravity
Emotion: joy
Intensity score: | 0.292 |
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: Dentist just said to me' I'm going to numb your front lip up so it'll feel as if you've got lips like Pete Burns!...... She was right #pout
Emotion: anger
Intensity score: | 0.375 |
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: The focal points of war lie in #terrorism and the #UN needs to address #violentextremism
This tweet contains emotions: | fear, optimism |
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: Just love Matthew Parris! Political rage is good!
Emotion: anger
Intensity class: | 0: no anger 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: what to wear Friday \nspeaking in front of 100's. #nervous
Emotion: fear
Intensity class: | 3: high 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: @Rocks_n_Ropes Can't believe how rude your cashier was today when I was returning an item! Your customer service is slacking.
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: @BurmanAJ @AMANDAZUCKERMAN I'd rather see KYLE from bbcan play again and THAT is saying something #awful
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Danish pastries...oh know my nightmare! Old boots is a good description #GBBO
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
Emotion: sadness
Intensity class: | 2: moderate 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: Panic attacks are the worst. Feeling really sick and still shaking. I should be a sleep. #depression
This tweet contains emotions: | fear, sadness |
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: Feeling like I've had the worst night of sleep ever - not great before the #London to #Brighton #cycle ride for @DMTFYP 🚴100k #apprehension?
Emotion: fear
Intensity class: | 1: low amount of 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: TGIF! Hope everyone that needs to find #recovery can and that our friends stay #sober this weekend! @REBOSTreatment @BlvdCenters
This tweet contains emotions: | anticipation, joy, love, optimism |
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: When your body says FUCK YOU BITCH, You ain't sleeping\n#sleep #cantsleep #drained #restless
Emotion: fear
Intensity class: | 1: low amount of fear 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: @DayveeSutton BIG thank you for liking my little Pumpkin :) She's the smallest of my 4, but is very playful & wakes me up most mornings.
Intensity class: | 3: very positive emotional state can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Nahhhhhh @konanplaydirty snap story has got me bussing up 😂😂😂😂😂😂😂😂😂😂😂😂😂😂
This tweet contains emotions: | disgust, joy, optimism |
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: What if.... the Metro LRT went over the Walterdale?!?! 😂 #yeg
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: Most Americans think the media is nothing but Government propaganda BS. #lies #control #BS #RiggedSystem #distrust #garbage #oreillyfactor
Emotion: fear
Intensity class: | 0: no 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: @JogglingDroid @BrancoCarmine @Otto_English yeah, #UK was quite the #bully
This tweet contains emotions: | anger, disgust, sadness |
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: Eating an egg is grim, you are eating the material embodiment of a fart and an unborn chick
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: - blood and mucus and he chokes and has to swallow, mirth cut too short. 'Wrong answer.' It takes some awkward movements - @PersuasiveFuck
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: im so mad about power rangers. im incensed. im furious.
Emotion: anger
Intensity score: | 0.667 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Can we get a shot of Lingys face at 1/4 time ? Pretty sure it would be more red then his hair #fuming #pretendinghesok #ruok #AFLCatsSwans
Emotion: anger
Intensity score: | 0.604 |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: my haters are like crickets. they chirp all day but when I walk past them they shut the fuck up.- @DritaDavanzo (my idol)
Intensity score: | 0.531 |
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: This night is sparkling don't you let it go,\nI'm wonder struck,\nBlushing on the way home.'
This tweet contains emotions: | joy, love, optimism |
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: There's a specific joyous 20 song title engiybhekayo, yasezayoni. Need it for le mood
Emotion: joy
Intensity score: | 0.560 |
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: maps by the yeah yeah yeahs came on the radio today and i almost burst into tears
This tweet contains emotions: | joy, pessimism, sadness |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: in love with @BarberCeleste insta!!!...
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: It is too fucking bright & too fucking hot outside
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: Niggas murking in each other. In murky water, I try to swim.
Intensity score: | 0.375 |
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: @musicfae15 [He grumbled as he sat atop the sushi bar stool, crossing his arms defiantly, in a playful gesture, though he gave anyone who >
Emotion: joy
Intensity score: | 0.271 |
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: Had a conversion with a random fellow passenger on a #melbourne @metrotrains yesterday evening #astounded #youwouldntreadaboutit
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: Coworker: 'That happened to a friend of mine once, but with guns instead of babies.' #workplace #hilarity
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: I'm just doing what u should b doing just minding my business and grinding relentless @LITO615
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Or when they hmu on snap, and I'm like.. which one are you. 💀
Emotion: anger
Intensity score: | 0.417 |
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: @asda if I wanted GREEN POTATOES, a bottle with the tag still on, plus soaking wet items delivered - I'm winning today-sadly I didn't
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: @Harry_Styles 💖\nHeart so pure and smile\nso bright, I love you\nmore than the number\nof stars at night.\nKindly follow me please\nHarry?\n—90,127
Emotion: joy
Intensity score: | 0.750 |
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: Never make a #decision when you're #angry and never make a #promise when you're #happy. #wisewords
Emotion: joy
Intensity score: | 0.438 |
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: @HotpointUK 'customer service ' beyond appalling. Faulty dryer replacement breaks within wks no parts for 3 wks. Engineers no show. #fuming
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: @MericanMainer AWW. I had a Maine Coon when I was little named Ted Eddy the Wonder Cat. They're such good cats! Very playful and sweet
Emotion: joy
Intensity score: | 0.604 |
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