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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: @amymarsden_wtf I'm as pure as the driven snow after it's been pissed on by multiple rabid dogs
This tweet contains emotions:
|
anger, disgust, pessimism
|
Task: 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: Man city's kit is dreadful!
This tweet contains emotions:
|
anger, disgust, sadness
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: @jagtron1 blacks are good at provoke them selfs blaming on white when black cops shooting blacks
Emotion: anger
Intensity score:
|
0.625
|
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: @Avanquest i have unsubscribed 3 times from your spam emails still coming? STOP THE EMAILS #avanquest #software
Emotion: fear
Intensity score:
|
0.438
|
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: #Depression has you wanting to change the past, #anxiety has you focusing on the unknown future. Neither are about living in the present.
Emotion: fear
Intensity score:
|
0.542
|
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: Yellow Submarine is under tremendous pressure from Los Blancos. #WaveAfterWave #RMAVIL
Emotion: fear
Intensity score:
|
0.354
|
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 really hate Mel and Sue. They think they're hilarious and they're just awful
This tweet contains emotions:
|
anger, disgust
|
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: @el_tityboi bc it's a gloomy day Tony
Intensity class:
|
-3: very negative emotional state can be inferred
|
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: @TVsCarlKinsella They're such garbage. Obviously I like that they suck but it's still grim to watch.
This tweet contains emotions:
|
anger, disgust
|
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: As the birds chirp and the cows moo we need to listen to the sound of nature to ensure that all is well.
This tweet contains emotions:
|
joy, 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: @frecklybellamy the walking dead, mr robot, american horror story, merlin
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: i love that tay & tiff are just sitting at my house while i'm at work ๐
This tweet contains emotions:
|
joy, love, pessimism
|
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 either look like a raging bitch, or I'm obnoxiously laughing at something not that funny. I don't think there's any middle ground.
Emotion: anger
Intensity score:
|
0.481
|
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: Michelle is one of the worst players in bb history #bb18 #bbfinale #bitter
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
|
Tweet: Late night #thoughts. Feeling #restless.
This tweet contains emotions:
|
anticipation, disgust, fear
|
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: Well my evaluation came back and i am minimally effective. Student test scores on the PARCC sunk my eval. it's time for me to quit teaching
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: How was Natalie one of the top three favorites?! #toofaced and #bitter ๐
This tweet contains emotions:
|
anger, disgust
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @stevesingiser @POLITICO_Steve Put a damper on my mood.
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: @5ftanomaly aside from that i'm all about pleasing the individual that i'm involved with, my pleasure comes from their pleasure.
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: @JennyPGR I worry about typos in any email to Simon, draft attached or not...
This tweet contains emotions:
|
anticipation, fear, sadness
|
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
|
Tweet: @MHChat Childood experiences can leave you with permanent deep sadness as adult it can underlie everything #MHChat
Emotion: sadness
Intensity score:
|
0.729
|
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: @BbeautifulSoul_ u always gotta attitude tho ... ๐ cheer up
Emotion: joy
Intensity class:
|
0: no joy 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: them cold, dark nights are slowly creeping in ๐
Emotion: sadness
Intensity score:
|
0.542
|
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: today afghanistan tell us where the terrorism is planned whaaaooo#UNGA
Emotion: fear
Intensity score:
|
0.720
|
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better!
Intensity score:
|
0.800
|
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: @ceIestialfoxx I don't even remember that part ๐
the movie wasn't terrible, it just wasn't very scary and I expected a better ending ๐
This tweet contains emotions:
|
disgust, fear, joy
|
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: @Sopp97 sorry to upset u madam.If you have got any queries don't hesitate to contact our PR department.In the meantime do you fancy a beer?
This tweet contains emotions:
|
anticipation, optimism, pessimism
|
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: @Disneyland #nothappy and still #charging the #fullprice ๐ก๐ก #fuming some your #bestrides ๐ณ๐ณ
This tweet contains emotions:
|
anger, disgust
|
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: @eileen_davidson on RHOBH, you just do not want to assume an affair while you were married so you criticize @LisaVanderpump! #awful
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
|
Tweet: Currently listening to @ScottFoxonair & @KatCallaghan @Z1035Toronto podcasts!! Can you guys please move to #yvr ? #missyou
Emotion: joy
Intensity score:
|
0.365
|
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: @courtneymee I'm 3 days sober don't wanna ruin it
This tweet contains emotions:
|
fear, joy, optimism, sadness
|
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: even walking around with my family members who carry guns makes me nervous and theyre my family....
This tweet contains emotions:
|
anger, 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: @devrajasmine If you change the dark images both look different, but both look like they are in a forest.
Emotion: sadness
Intensity class:
|
1: low amount of sadness 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: @dc_mma @ChampionsFight think shes afraid to fight Holly. One can only imagine what goes through her head when she thinks of Cyborg #terror
Emotion: fear
Intensity score:
|
0.396
|
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 need to stop second guess myself and just go with the first thought and go with it. #relentless
Emotion: anger
Intensity score:
|
0.425
|
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: @Freepenalties @TMortimerFtbl Doll is a vile creature on the touchline. Every game he has tantrums & shouts at the ref. Would love to see
This tweet contains emotions:
|
anger, disgust, joy
|
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).
|
Tweet: Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better!
Intensity score:
|
0.800
|
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: Condolences to the JC and the Georges family..
Emotion: sadness
Intensity score:
|
0.708
|
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: @Ashleyavitia_ don't leave me
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: @EducatedNPetty white pricks that were laughing at your use of language won't be crying over your coffin but rejoicing that you're another
Emotion: joy
Intensity score:
|
0.250
|
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: UPLIFT: If you're still discouraged it means you're listening to the wrong voices & looking to the wrong source. Look to the LORD!
Emotion: fear
Intensity score:
|
0.271
|
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: @VivienLloyd Thank you so much! Just home - stunned but so happy. Don't think it has sunk in yet! Wow.
This tweet contains emotions:
|
joy, optimism
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @BrianaBanksxoxo I send ya a few #playful nibbles ๐
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: Up on melancholy hill
This tweet contains emotions:
|
anticipation, 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: Go away please ... I'm begging ยปยปยป #depression #anxiety #worry #fear #sadness \nDreams of joy and my baby to be found...Sits on #AndisBench
Emotion: fear
Intensity score:
|
0.875
|
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: That was a fast response madrid.....Zidane threaten unuh
Emotion: fear
Intensity score:
|
0.396
|
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: Just want Saturday to be over but then again I want to do good #LSAT
Intensity class:
|
-1: slightly negative emotional state can be inferred
|
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: @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: 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: @winksahoy we about to get shit on by the wrath of winter out of nowhere
Emotion: anger
Intensity score:
|
0.625
|
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: come to the funeral tomorrow at 12 to mourn the death of my gpa
Emotion: sadness
Intensity score:
|
0.833
|
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: Everywhere I go, the air I breathe in tastes like home.' - @The_Currys #restless
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: Nobody wants a grouch but DONT move to SD if you want to be a rapper. #serious
Emotion: sadness
Intensity class:
|
0: no 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: @delta correction 26 ppl. Checked in. Standing at the gate. & Flt 1449 took off without us.
Emotion: anger
Intensity class:
|
1: low amount of 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: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! #smiling
Emotion: joy
Intensity score:
|
0.880
|
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: @JonnyOwenFilm @ringsiderobbie1 can you remember that train Sunday after Froch v Kessler ? #nightmare
This tweet contains emotions:
|
fear, joy, pessimism, sadness
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: ninaturner: Mine too. With what is happening in country, I needed this moment of levity bernblade LisaVikingstad
Emotion: joy
Intensity score:
|
0.271
|
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: Latest on new optimism on keeping #Raiders in #Oakland, live right now on @KCBSNews: @NFL meets here w/Lott & Schaaf to talk new stadium
Emotion: joy
Intensity score:
|
0.400
|
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 16 if you want to see my dick snap/kik me at hiya2247 ๐ #kik #kikme #snapchat #snap #snapme #horny #porn #naked #young
Emotion: anger
Intensity score:
|
0.375
|
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: @yellowsuburbia really?? after so long that's shocking tbh
Emotion: fear
Intensity score:
|
0.542
|
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: Dear Indians..It is hard to swallow this but for once try to swallow this bitter pill...that is.. Pakistan is number one in Test cricket!!!
This tweet contains emotions:
|
optimism
|
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: @HomeSwapperteam Spent months arranging swap , new jobs etc, now I've found out she's been leading me on a merry dance. #fuming with her
This tweet contains emotions:
|
anger, disgust, 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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us ๐ญ๐ญ @__KirstyGA #oldcunt
This tweet contains emotions:
|
anger, disgust, sadness
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: @liamch88 yeah! :) playing well
Emotion: joy
Intensity score:
|
0.688
|
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: Retweeted GunnySmith93 (@Stephen21Smith):\n\nDays like today I am happy to be alive! #blessed #rejoice
Emotion: joy
Intensity class:
|
3: high amount of joy can be inferred
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
|
Tweet: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #offense #lineman
This tweet contains emotions:
|
anger, disgust, 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: @againstallaudss @groovydadad @Thelostchild5 @MHChat indeed & is sadness unavoidable? #MHChat
Emotion: sadness
Intensity class:
|
3: high amount of 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: @CesarSampao @thisisbolton don't get me started on town centre. Used to go every week.... not been for 18 months
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: #disgracefulesin I resent all men in some way; for some or no reason at all. #esinscountdown
Emotion: anger
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: If my luck the rest of Fall goes anything like today, I think I'm going to like this season. #bestdayever #magic #work
Emotion: anger
Intensity score:
|
0.375
|
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: 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: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Huge congrats to my friends at @VoidMovie on the #USAPREMIERE tomorrow! #film #horror #thevoid #featurefilm #scaryshit
Emotion: fear
Intensity score:
|
0.292
|
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: Does she really need to pout all the time - getting on my nerves #GBBO
Emotion: sadness
Intensity class:
|
2: moderate amount of 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: @shawnstockman This would be hilarious, if it weren't so frighteningly on point. It's gone from a few bad apples to a national disgrace.
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
|
Tweet: imagine if teppu got animated by madhouse tho >_<
Emotion: joy
Intensity score:
|
0.333
|
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: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #ุงูุฎูุฌู
This tweet contains emotions:
|
joy, love, optimism, trust
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: She gave a playful wink, taking the goggles off her head, swinging them around her finger. 'I would never~' @VerminEngineer
Emotion: joy
Intensity class:
|
1: low 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: @isthataspider @dhodgs i will fight this guy! Don't insult the lions like that! But seriously they kinda are.Wasted some of the best players
Emotion: anger
Intensity class:
|
3: high amount of 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: @NeyaphemMaster @_James_Kellar_ @RavenMetamorph @MagnetoBroHood @jedi_paige Thomas' nervousness at being the group's focus is evident, 'I>
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: I hate my lawn mower. If it had a soul, I'd condemn it to the fiery pits of Hell.
Emotion: anger
Intensity class:
|
3: high amount of anger 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: The liberal outrage over don king saying the N-word really angers me. The white yuppie progressives can go fuck themselves, shame on blacks
Emotion: anger
Intensity score:
|
0.863
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: @MMASOCCERFAN @outmagazine No offense but the only way this makes sense is if you work for the magazine. Otherwise,who are you apologizing 4
Emotion: anger
Intensity score:
|
0.417
|
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: @Babylonian I convinced my mom to watch it. Killgrave gave her literal nightmares, but watched last episode four times.
Emotion: joy
Intensity class:
|
0: no 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: Actually I always idealize the end of my relationships .. Such a pessimist
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness 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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris
This tweet contains emotions:
|
pessimism, sadness
|
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
|
Tweet: Once I have sent a pitch to a brand I close all tabs relevant to them instantly. Thats the kind of detachment I create for myself. #serious
Emotion: sadness
Intensity score:
|
0.562
|
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: @AdamRichards_10 I done a mix of win and -1 and scores are 2-0 2-0 3-0 4-0 4-0 and then moyes was 1-0 down was fuming. Would of been easy
This tweet contains emotions:
|
anger, disgust, sadness
|
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: @antoboyle I so wish you could someday come to Spain with the play, I can't believe I'm not going to see it
Emotion: sadness
Intensity class:
|
0: no sadness 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: @johnaugust @clmazin I was so looking forward to @ABCDesignated. Then it opened with a #stuartspecial. I literally yelled at my tv.
This tweet contains emotions:
|
anger, disgust, sadness
|
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
|
Tweet: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
Emotion: sadness
Intensity score:
|
0.542
|
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: @ChrisChristie You have no Police credentials-You were a litigator. Nothing more-No Experience.#Sad #TrumpPuppet #Felon #bully #jersey4sale
Emotion: fear
Intensity score:
|
0.479
|
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: @Sophiejulia @CalebAtChipotle @calebpressleyxo relentless pipe thirst #sheltered
Emotion: anger
Intensity class:
|
1: low amount of anger 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: Crossfit houston-la homefolks as for spry proprieties regimes: AJaFUE
Emotion: joy
Intensity score:
|
0.271
|
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: Bare videos online but does anyone get rehabilitated? Does anyone actually get help for their affliction? Or do we jut get twitter videos.
This tweet contains emotions:
| |
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: @mcrichard awe that's adorable
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: the ending of how I met your mother is dreadful
Emotion: sadness
Intensity score:
|
0.417
|
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: @kagehime3 I'm so starved for content I'd take it but I'd def pout about it (ีเบดอซเช ีเบดอซ)
Emotion: sadness
Intensity score:
|
0.500
|
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: I'm due for a big change! I've prayed on it, I think I deserve it #positivity #optimism
Emotion: joy
Intensity class:
|
2: moderate amount of joy can be inferred
|
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
|
Tweet: Not untill today has anyone ever said to me they remember what I had on over 7 years ago when they met me n liked me since #cutealert #happy
This tweet contains emotions:
|
joy, love, 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: @ImNotInfected โ rather someone that could help her. Concern clouded her green eyes, not once having seen a girl alone in the woods and โ
This tweet contains emotions:
|
anticipation, fear, sadness, surprise
|
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: @mandyjohnson I'll be honest.. I hope that annoying Southern bint with the 'look at me' pout goes out this week! Selasi #FTW
Emotion: anger
Intensity score:
|
0.646
|
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