instruction
stringclasses 50
values | input
stringlengths 32
202
| output
stringlengths 0
55
|
|---|---|---|
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 did the dishes yesterday, fell asleep, woke up to the sink full and I didn't even eat dinner but I have to do the dishes.
This tweet contains emotions: | anger, disgust, sadness, surprise |
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: After what just happened. In need to smoke. #burning
This tweet contains emotions: | anger, 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: @vibaby @imEB y'all had crackheads in the islands? I don't know why I find that so interesting and shocking
This tweet contains emotions: | anticipation, disgust, joy, optimism, 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: When I was new, I hate the Judge Judy sponsorship style- but looking back it was the only thing that worked. #recovery #sober #cantconacon
Emotion: sadness
Intensity class: | 0: no sadness 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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #hilarious #cleverpeople
Emotion: joy
Intensity score: | 0.827 |
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: @chencouture LMAO Is it that 'so slutty' hater girl? That video was hilarious. 😂
Emotion: joy
Intensity score: | 0.700 |
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: rose incense are the best thing I've ever bought
This tweet contains emotions: | joy, optimism, trust |
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: #NawazSharif says lets end #terror. Sure, let #IndianArmedForces target the bases without #Pakistan interference #Karma?
This tweet contains emotions: | anger, disgust, fear |
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: Bake off on TV and the Match on my phone, what a nightmare I'm so stressed #GBBO #NTFCVMUFC
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Oh, I should just 'get over' my #depression and 'be happy?' Don't you think I've tried that thousands of times already? You're not helping.
This tweet contains emotions: | fear, 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: @NM_NickNocturne Incentivise people to roam the Internet being morally offended, as if they didn't do it enough already.
Emotion: anger
Intensity score: | 0.542 |
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: How in the world did Nicole beat Paul?!?! #terrible #bb18 #BBFinale What was the jury thinking?? 😳😳😳
Emotion: fear
Intensity class: | 0: no fear 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: Get to work and there's a fire drill. #fire #burning #outthere #inthedark
This tweet contains emotions: | |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic
Intensity score: | 0.790 |
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: carry on my wayward son there'll be peace when you are done lay your weary head to rest don't you cry no more
Emotion: sadness
Intensity score: | 0.500 |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: A wise man told me that holdin' a grudge is like\nLetting somebody just live inside of your head rent free
This tweet contains emotions: | anger, trust |
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: @ananavarro @tcarrels most of Trump supporters have not clue about the meaning of the words they used just like him #sad #nevertrump
This tweet contains emotions: | disgust, pessimism, 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: @arppaul @chetanlfc @mannkakhiladi @dey_spandan @umeroffcial Comparing Akshay Sir with this zandu balm is an insult to Akshay Sir.
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: Puzzle investing opening portland feodal population is correlative straight a snorting infuriate: XLzjYhG
Emotion: anger
Intensity score: | 0.458 |
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: Why have I only just started watching glee this week I am now addicted 🙄 #GLEEK
This tweet contains emotions: | joy, love, optimism, surprise |
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: @priny_baby happppy happppyyyyyy happppppyyyyy haaapppyyyy birthday best friend!! Love you lots 💖💖💖💖💖💖💖🎉🎊 #chapter22 #bdaygirl #love
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: @XGames looks exhilarating! Looking forward to seeing 👍🏼
This tweet contains emotions: | anticipation, joy, optimism, trust |
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: *Sigh* #saddness #afterellen #shitsucks
This tweet contains emotions: | 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: PM #SheikhHasina in @UN speech terms #terrorism as global challenge and urges world leaders to work together to unroot it from everywhere.
Emotion: fear
Intensity score: | 0.554 |
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: 9/30 Howland Cultural Center, #BeaconNy Vickie Raabin & Chris Raabe #blues #soul 8pm @LocalMotionWVKR @hiddencitiesnyc 845-831-4988
This tweet contains emotions: | anticipation |
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: Fuking fuming 😤
Emotion: anger
Intensity class: | 3: high amount of anger 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: I don't think it's fully sunk in that Val is gone yet
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Don't wanna go to work but I want the money
This tweet contains emotions: | disgust, joy, 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: @ceIestialfoxx I don't even remember that part 😅 the movie wasn't terrible, it just wasn't very scary and I expected a better ending 🙄
Emotion: fear
Intensity score: | 0.240 |
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: Omg he kissed her🙈 #w
This tweet contains emotions: | anticipation, joy, surprise |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @iyaycruz lets see chirp
Emotion: joy
Intensity score: | 0.231 |
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: Ignored broken tooth for so long, now have abscess. Need dentist but #fear makes it hard for me to go..45 and still can't go to dentist
This tweet contains emotions: | disgust, fear, pessimism, 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: @MoneyJay901 hard to tell in your pic. My mistake then. Either way, nothing I said initially was about race. U took it there. #sad #ignorant
Emotion: sadness
Intensity score: | 0.646 |
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: is it an insult or compliment to be told i look like a really happy duck
This tweet contains emotions: | 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: I seriously miss #ahsaftershow with @trixiemattel and @TheRealEdHansen. I need to talk about the mamasitas and the hunks of horror.
This tweet contains emotions: | 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: #India is sponsoring terrorism in #Balochistan. #KulbhushanYadav an Indian spy agent was arrested in Balochistan by Pakistani forces.
This tweet contains emotions: | fear |
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: No red card for Gordon there? The ref must be a Celtic fan as that was a shocking challenge.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @Theshadeshit91 \nOh, I'm sorry about it, do not be sad yourself there is nothing important in the world to grieve about it
Emotion: sadness
Intensity score: | 0.625 |
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: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍
This tweet contains emotions: | joy, love |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: This night is sparkling, don't you let it go! I'm wonderstruck, blushing all the way home..' #ValerieBot
Intensity class: | 2: moderately positive emotional state 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: @doctorofinfo I was just introducing a little levity to the convo. Yep!
Emotion: joy
Intensity score: | 0.540 |
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: I'm moving this weekend & my sugar daddy will replace it so, it is what it is. Niggas still happy.
Intensity class: | 1: slightly positive emotional state 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: Let the #MrRobot binge begin. #nerdshow #compelling #dark
This tweet contains emotions: | anticipation, disgust, fear |
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 screened my own snap what kind of narcissistic ass would smh
Emotion: anger
Intensity score: | 0.479 |
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: And btw... I really did stay in bed all day today. #depression I hate being lied to, fuck liars. -w-
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: On @Varneyco/@FoxBusiness to talk latest on #Chelsea Bombing + #Ahmad_Khan_Rahami's trips to #Afghanistan/#Pakistan #tcot #terror
Emotion: fear
Intensity class: | 1: low 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: @khloe_speaks sad music
This tweet contains emotions: | sadness |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. #outrage
Intensity class: | -3: very negative emotional state can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: @GNRailUK There's gonna be street parties when you lot leave. Spontaneous rejoicing. Clowns.
Emotion: joy
Intensity score: | 0.360 |
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: #ParentsofAddicts: let #wellness be your #revenge! -Al Anon speaker
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: Huns are like a box of coffee revels #horrible
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: nadia bully me and ill expose you
This tweet contains emotions: | anger, 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: Finally watched #hungergamesmockingjay2 this morning, sadly I feel a little disappointed #toomuchhype
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???
Emotion: fear
Intensity score: | 0.583 |
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: @MissRBBerry_ @BlaineHale_ @KurtStilinski_ @BeaconScott11 @SStilinski_24 I brought sparkling cider...*holds it up* I know it's not much
Emotion: joy
Intensity score: | 0.312 |
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: Praying for the #Lord to keep #anger #hate #jealousy away from your heart is a sign of #maturity #conciseness
This tweet contains emotions: | 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: @datboyJuniorE lool soon as man start loosing weight. Its panic
This tweet contains emotions: | fear |
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: Projection is perception. See it in someone else? You also at some level have that within you. #anger #worry
Emotion: fear
Intensity score: | 0.542 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @hannah_2401 hannah stop being mournful and chill 💁
Intensity score: | 0.400 |
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: Ooh #hygge, candles, jasmine tea & #GBBO
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
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: Happy #internationaldayofpeace everyone hoping that the world becomes a better place less division more happiness keep smiling. 😄😄❤️
This tweet contains emotions: | joy, love, optimism |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: I love looking at my old statuses on Facebook. The one I have from four years ago on this day was about #glee. I had so many opinions...
Intensity class: | 1: slightly positive emotional state 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: Luke 1:14\nHe will be a joy and delight to you, and many will rejoice because of his birth
Intensity class: | 3: very 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: @carlymarierozy @makeupsue it's sad but now we are making our own children vulnerable to the same terror.
Emotion: fear
Intensity score: | 0.688 |
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: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #offense #lineman
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: Never switched up, stayed down this the same person since day one.
This tweet contains emotions: | joy, 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: I'm going to get the weirdest thank you note--or worse--total silence and no acknowledgement.
Emotion: fear
Intensity score: | 0.521 |
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: @Blewberry02CP Content updates provoke that income.
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @NessaMatthews he's perfect. But not even in that way where you sort of resent him or suspect that he leads a double life. Just perfect.
Intensity score: | 0.365 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: On the way to Laser Vista ... lens implantation ... #LaserVista #happy
Emotion: fear
Intensity score: | 0.229 |
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 just heard the most incredibly transcendent song ever & now I feel high & fucked up yet joyful & I will never be the same
Emotion: joy
Intensity score: | 0.607 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I don't think Luca understands how serious I am about Fall....he has no idea what's in store for him 😂😂
Emotion: sadness
Intensity score: | 0.208 |
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: Honestly depression is kicking my ass lately.. 😔
Intensity score: | 0.048 |
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: semores: let's get this. #mirth #SAW #keepthetradition 💜💛⚛🏵🍇🍋🌼🐤🐥👚😈😈👾🧀
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: It's not going to break you it's just going to shake you
This tweet contains emotions: | anticipation |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: i'm doing laundry and watching that 70's show with a bunch of strangers. #birthday #to #me
Emotion: joy
Intensity class: | 1: low 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: #twitter #users Tweeting on twitter is like playing a game against the computer. Where's the life, Everyone too #afraid to say something?
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO
Emotion: joy
Intensity score: | 0.600 |
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: Rojo is hilarious
Intensity class: | 2: moderately positive emotional state can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: #Forgiveness might make us look #weak, but the weakest person is the one who holds #anger, #hatred, and #revenge.
This tweet contains emotions: | anger, anticipation, optimism, trust |
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: Thoroughly enjoying AHS tonight. #ahs #americanhorrorstory
This tweet contains emotions: | anticipation, joy, optimism, trust |
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: No #gbbo from us tonight sadly, we've got a date with some nachos @ODEONCinemas #BridgetJonesBaby
This tweet contains emotions: | anger, 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: SRV's 'Voodoo Child' is approximately 76 times better than Jimi's. #guitar #music #blues
Emotion: sadness
Intensity class: | 0: no sadness 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: Why is it so windy? So glad I didn't ride my bike. #fear #wind
Emotion: fear
Intensity score: | 0.812 |
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: Overwhelming sadness. This too shall pass. #lost #lonley #startingover
Emotion: sadness
Intensity score: | 0.889 |
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 mourn the creativity lost.
Emotion: sadness
Intensity score: | 0.562 |
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: @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 class: | 3: high amount of joy can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I aspire to have Val's self confidence and optimism tbh 👏💖 #GBBO
Emotion: joy
Intensity score: | 0.500 |
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 assume that people pick up on my joviality coz I lol a lot but it's just not working. Maybe I need to get heavy handed with emoticons? Ha
This tweet contains emotions: | joy, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: #india will take #revenge by making 3 new movies like #phantom and they will be like #ghus_k_maren_ge this is how indian army take revenge
Emotion: anger
Intensity score: | 0.500 |
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: Nice Idea collect all relevant socialmedia in one-But dont be automatic pls #worldsapp ⬅️ #chirp #appsworld #socialmedia @DanielFeuer merci🎈
Emotion: joy
Intensity class: | 1: low amount of 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: @fatgirlhealthy @MBSCBILL ....so that what do to use violence and intimidation for a polictical agenda.; aka terrorism?
Emotion: fear
Intensity score: | 0.667 |
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: Jesus wept! Another RNS from #rusty @metaltigerplc quote 'Price sensitive news, Price Sensitive news' etc etc The #Ramping here is #shocking
Emotion: fear
Intensity score: | 0.637 |
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: schneiderlin taking his revenge for the 2 fouls
This tweet contains emotions: | anger |
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: Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #sadness
This tweet contains emotions: | sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: in love with @BarberCeleste insta!!!... #hilarious
Emotion: joy
Intensity score: | 0.769 |
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: Omg I actually thought she was going to jump. #SouthPark20 #southpark
Intensity score: | 0.312 |
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: #Jazz - the #blues is the roots, the rest is the fruits
Emotion: sadness
Intensity score: | 0.250 |
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: Im so serious about putting words in my mouth bitch don't add ' the ' to my sentence if I didn't say that shit on bloods
Emotion: sadness
Intensity score: | 0.458 |