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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: @FoxNews #Poor = #angry and justly so. Offer people some hope! My god, does anyone see this?! #Education should not be for the #elite
Emotion: anger
Intensity score: | 0.750 |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @TheOnlySweeney their slogan should've been #start instead of #finish
Intensity class: | -2: moderately negative emotional state can be inferred |
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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: The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati
Emotion: fear
Intensity score: | 0.400 |
|
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 start growing out my mustache now, I can be Pablo Escobar for Halloween!!!
This tweet contains emotions: | anticipation, joy, optimism |
|
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: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO
Emotion: joy
Intensity class: | 2: moderate 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: Everyday gay panic is STUNNING: I drew 1 guy's att'n to it when he blocked up a toilet stall's cracks w/paper towels. TOTAL INCOMPREHENSION.
Emotion: fear
Intensity score: | 0.562 |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @MerenthaProphet - the Hunter in this way, content and joyous in simple, domestic bliss? I cannot wait for word of who you truly are to -
Intensity class: | 1: slightly 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: @noveliciouss OMG, that's such a beautiful quote. #breathless #amwriting
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: And you as well! #sparkling @cherebork @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Saga: When all of your devices and teles fail just in time for bake off #panic #gbbo
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Mate the thing I get excited about in my profession are mad. A client said she opened her bowels, I'm rejoicing
Intensity class: | 2: moderately positive emotional state 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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Brad Pitt being investigated for child abuse?! this all just got really #dark
Intensity class: | -2: moderately negative emotional state 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: If I spend even 5 minutes with you and you already irritate me I seriously will bitch you out until you shut up
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: @icapturpix @DRUDGE_REPORT I agree. This current, ultra-left Democratic party lost a lot of members, including myself. I switched to Repub.
Emotion: sadness
Intensity class: | 0: no 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: Job interview in the afternoon #ek
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: -normal people scare me*
Emotion: fear
Intensity score: | 0.708 |
|
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: @TJ_FASHO lmao clown my own hair I'm going to dread lmao
This tweet contains emotions: | anger, fear, joy |
|
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: Another loss to city in the cup next ๐ ๐๐ cmon united! #revenge
This tweet contains emotions: | anger, 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: I saw someone discourage someone from following their dreams. Just because you want to live in mediocrity doesn't mean someone else should.
Emotion: sadness
Intensity class: | 1: low amount of 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: @grahnort wonderful experience watching you yesterday at. @BBCLetItShine thankyou for the
Emotion: joy
Intensity score: | 0.708 |
|
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: The time has now come that we have to combat this wave of #terrorism with the right tools of the trade. - HH @YounusAlGohar #BanWahhabism
This tweet contains emotions: | anger, disgust, fear, 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: horrid having a car n no liscence
Emotion: fear
Intensity score: | 0.625 |
|
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: @SkyNews err I wasnt gloomy. 17.2 mio people were not gloomy only #remain were #Brexit
This tweet contains emotions: | disgust, sadness |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Harry_Styles you're the smile to my face and the beat to my heart. Thanks for being kind as much as you can be. Mind following me?๐ 96,127
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Liam is too distant makes me mourn ๐ช
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Henderson showing that when times are hard he leaves or goes missing #AFLCatsSwans #seenitbefore #lions #blues
Emotion: sadness
Intensity class: | 0: no 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: When we give cheerfully and accept gratefully, everyone is blessed.\nยปMaya Angelou\n\n@DrMayaAngelou #RIP #MayaAngelou
Emotion: joy
Intensity score: | 0.440 |
|
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: Jeans with fake pockets
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: Watch this amazing live.ly broadcast by @flydudern #lively #musically
Emotion: joy
Intensity score: | 0.538 |
|
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: Being alone is better than being lonely. Know what is worse than being lonely? Being empty; that's right!\n #Loneliness #aloneinthecity
This tweet contains emotions: | disgust, pessimism, sadness |
|
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: 1Pet 4:7 But the end of all things is at hand: be ye therefore #sober, and #watch unto prayer
This tweet contains emotions: | optimism, sadness |
|
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: @keyshamackie it's fucking dreadful for live footy matches
This tweet contains emotions: | anger, disgust, fear |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: If I spend more than ยฃ10 in shimmy on ยฃ1 drinks I'll be raging, but we all know it's gonna happen
Intensity class: | -2: moderately negative emotional state 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: i had a hard time falling a sleep and woke up several times because i was afraid of bugs crawling on me and i ended up waking up with a bite
Emotion: fear
Intensity score: | 0.854 |
|
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: The Apocalypse has hit our gym and it's nothing what I thought it would be...\n\nEveryone is wearing vests! What if it's contagious?
Emotion: fear
Intensity class: | 1: low amount of fear 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: There's a certain hilarity in people angry at protests against the national anthem or the flag when these acts are covered by 1st Amendment.
This tweet contains emotions: | anger, disgust |
|
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 lost my wallet lol.... again....
This tweet contains emotions: | anger, disgust, pessimism, sadness |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: Hey NASCAR fans. Are you going to the race in Loudon this weekend? Why not stop by New Day Diner for a great hearty breakfast before you go
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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18
Emotion: fear
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: #beyond naming & shaming ; lies a vast space b/w #sanctions & #terror state...v *wait til Others #impose it...& do not hv COURAGE #ourselves
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: me: tis a dreary day today\nfriend: he's a teenager not Shakespeare's reincarnation \n\nim such a dumbass lol
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I can't imagine keeping malice with my brothers!! I shudder when I see siblings estranged and all
Emotion: fear
Intensity class: | 1: low amount of 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: @thetroche94 @ramiro_cedeno yeah if you want to become obese it is! ๐
I can afford it so I don't think it's that serious haha
Emotion: sadness
Intensity score: | 0.208 |
|
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: A Leopard never changes its spots! #lost
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @5ftanomaly aside from that i'm all about pleasing the individual that i'm involved with, my pleasure comes from their pleasure.
Emotion: joy
Intensity score: | 0.558 |
|
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: @JoeGoodmanJr. A solution. But the assumptions by media in articles and every other venue causes animosity to the conversation.
Emotion: anger
Intensity score: | 0.354 |
|
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: @Lesdoggg take me with you!! JK. Have fun, relax, get a massage or two and chill. Don't eat the cucumbers, most places frown on that.
Emotion: sadness
Intensity class: | 0: no sadness 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: Stop tracking back you fucking potato faced cunt errrr infuriating ๐ ๐ ๐ ๐ ๐ #angry #Rooney #mufc
Emotion: anger
Intensity class: | 3: high amount of anger 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: Thursdays at 6pm Vespers & Meditation #prayerful #plainsong #multisensory #candles #incense #psalms #music #silence #faithful sing or listen
This tweet contains emotions: | joy, love, 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: Every Wednesday I like to visit the inmates at Arkham. Deliver a fruit basket. And a cheery bouquet of enhanced interrogation.
Emotion: joy
Intensity class: | 1: low 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: Wrinkles should merely hide where frown have been. - Mark Twain
Emotion: anger
Intensity score: | 0.125 |
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @headfirst_dom I often imagine hoe our moon would feel meeting the jovial moons which are all special
Emotion: joy
Intensity score: | 0.500 |
|
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: Action is the foundational key to all success ~Pablo Picasso #inspiring #quote #action #hustle #dosomething #success
This tweet contains emotions: | joy, optimism |
|
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 have a job interview with @BarclaysUK in Loughborough next month !!!
Emotion: fear
Intensity score: | 0.354 |
|
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: Not setting an alarm to nap >>
Emotion: fear
Intensity score: | 0.160 |
|
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: @Owlman2011 @charitypricey @jon_newsome @PRAWNSANDOWl @smith_alister @MikeConnelly9 average 22000 for the massif... #shocking
This tweet contains emotions: | anger, disgust, 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: @Alanafergusson snap meee
This tweet contains emotions: | neutral or no emotion |
|
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: Y'all bitches be so angry and bitter, that must truly suck lol
Emotion: anger
Intensity score: | 0.708 |
|
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: @DJ_JeanFranko growl!!!
This tweet contains emotions: | anger, disgust |
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter #shocking
Emotion: fear
Intensity score: | 0.629 |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @pxrfectpeach it's got her little pout
Intensity class: | 0: neutral or mixed 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: Congress acting indignant over the #EpiPen pricing is quite disingenuous since they craft the laws that allow such gouging!!
Emotion: anger
Intensity score: | 0.396 |
|
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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @delon03 can you at least just walk past her and break out into laughter
Intensity class: | 0: neutral or mixed emotional state can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: can't believe Achilles killed me! #angry
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: Like I said โก there's plenty of cheddar in the cheese to go around! For everyone. โบ #smile
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
Tweet: @Markk1872 Red heads are more fiery.
Emotion: anger
Intensity score: | 0.280 |
|
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
Tweet: Once again the only thing on my feed is naay raging about something and my brother filling in all the gaps
Intensity score: | 0.350 |
|
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: @kateracculia @themathofyou It's true! I reverse-engineered the drink. It's a scientific method. I hear it's all the rage.
This tweet contains emotions: | anger, 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: Lil reminder that my private account is a delight of shittalking and occasionally NSFW stuff! @AngryArchosaur
Emotion: joy
Intensity class: | 0: no 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: @simonschuster @StephenKing @BuzzFeed And don't forget a fear of St. Bernards. #Cujo
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: I love when #girls are busy in teaching how to #pout while taking #selfie in a mall , their desication is immense #women love #perfection
Intensity class: | 2: moderately positive emotional state 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: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #ุงูุฎูุฌู
Emotion: joy
Intensity score: | 0.769 |
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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: @EASPORTSFIFA EA sports technical support team really suprised me ๐ SUPRISED ME AT HOW SHIT THEY WERE
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: it's sad when you talk to someone about ya past n how it fucked you up and then they do the same thing like people really don't have hearts
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @MendipHillsAONB do we think the swallows and swifts have gone? Photo'd 3 nights ago, not seen since. #Autumn
Intensity class: | -1: slightly negative emotional state can be inferred |
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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: @virginmedia I've been disconnected whilst on holiday ๐ค but I don't move house until the 1st October ๐ค #furious
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: @AmyMek this is so absurd I could laugh right now (if I also didn't feel like crying for the future of our country). #despair #wakeupcall
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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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: I was literally shaking getting the EKG done lol ๐
This tweet contains emotions: | fear, joy |
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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: *wants body to look a certain way*\n*eats 3 cookies, mac n cheese, kitchen sink, and small neighbor child*
Emotion: sadness
Intensity score: | 0.375 |
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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: @VosachResrus ^'ll just #wobble carry you #sink
This tweet contains emotions: | anticipation, disgust |
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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: We floated like butterflies. Now you sting like bees!'
Emotion: anger
Intensity score: | 0.271 |
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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 can definitely feel my irritation today, lord give me strength
Emotion: anger
Intensity score: | 0.667 |
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Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: When my life became such a concern to irrelevant ass people I'll never know
This tweet contains emotions: | anger, disgust |
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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 is the scariest American Horror Story out of all of them... I'm gonna have to watch in the daytime. #frightened
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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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: All in all a pleasing night down The Lane . . . On to the next round & bring on Liverpool at Anfield! #COYS
This tweet contains emotions: | anticipation, joy, surprise |
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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: So she goes first. She gets her book signed & I can barely take their picture cuz I'm shaking ๐ญ๐ญ๐ญ๐ญ๐ญ
This tweet contains emotions: | fear, joy, sadness |
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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: Egyptian officials expressed frustration and outrage over the Obama/Hillary administrationโs support of the Muslim Brotherhood
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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 am always ready to .
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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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: @RussellHartness @Mariners @BlueJays : Wrongdoing! Grrr. After the fact, I know, but emailing displeasure now anyway .
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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: SOMEONE LET SNAKES IN MY HOUSE, I BET IT @Ya_Boi_Huck I KILL THAT BUGGER WHEN I GET MY HANDS ON HIM #rage #HuckFP2
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: Even a pencilโ never #stayed with me until it's #end โซ ๐
This tweet contains emotions: | pessimism, sadness |
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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: While I was walking, a little boy in a red shirt(5/6 years of age) shouting from a distance of 3 meters, in a jovial manner saying...
Emotion: joy
Intensity score: | 0.620 |
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Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: @Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster.
Intensity score: | 0.121 |
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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: My prayers are with the family, friends & members of @VCFD as you mourn the loss of Engineer Ryan Osler. #LODD #RIP
This tweet contains emotions: | sadness |
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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: It's not that the man did not know how to juggle, he just didn't have the balls to do it.\n#funny #pun #punny #lol #hilarious
Emotion: joy
Intensity score: | 0.688 |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @judahandthelion TONIGHT. Legit can't wait to rage ๐ค๐ป๐ค๐ป๐ค๐ป๐ค๐ป๐ค๐ป๐ฅ
Intensity class: | -2: moderately negative emotional state can be inferred |
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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: @asjoshtaylor sadly I don't think I'll see you on tour, but have fun, you're gonna rock! ๐๐๐ป๐ #HotForMeTour
This tweet contains emotions: | joy, sadness |
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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: @BrumSciComm in a danish. What horror, what depths. #gbbo
Emotion: fear
Intensity score: | 0.542 |
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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: @realDonaldTrump @KellyannePolls New campaign slogan idea...'I know you are but what am I?' #Trump2016 #yourefired #deflect
This tweet contains emotions: | anger, disgust |
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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: Newly engaged Stevie Wonder has been trying to disguise #the #awful smell from his throat: with a leather jacket made from a broken Wii.
Emotion: fear
Intensity class: | 0: no fear can be inferred |