instruction
stringclasses 50
values | input
stringlengths 32
202
| output
stringlengths 0
55
|
|---|---|---|
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: Most Americans think the media is nothing but Government propaganda BS. #lies #control #BS #RiggedSystem #distrust #garbage #oreillyfactor
Emotion: fear
Intensity score: | 0.500 |
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: Mmmm #coffee and a good #book on a dreary day! Who can beat that?
This tweet contains emotions: | joy, optimism |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: #Sports Top seed Johnson chases double delight at Tour Championship
Intensity class: | 0: neutral or mixed emotional state 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: Metal keeps you young and spry and keeps your hair luxurious.\n\nYES\n\nSHUT UP AND LISTEN TO ME
Emotion: joy
Intensity score: | 0.460 |
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: @ScottCarmichae1 @Murican_Stuff don't fret -- this guy is mad because when @realDonaldTrump is elected he might have to get a real job
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @swarbleflop @LightskinJesuSP they're both pretty awful when you look at them historically
This tweet contains emotions: | anger, disgust |
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: @BIGGKATZ BUT arms (focused rage) is overpowered, it will be getting nerfed. It'll still be stronger than fury though
This tweet contains emotions: | anger |
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: The moment you bring her to meet your best friend and you're nervous af! 😬😆 #nervous #thefriendtest
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: That grudge you're holding keeps making an appearance because #God wants you to deal with it.
Emotion: anger
Intensity class: | 2: moderate 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: @TheOneSoleShoe that is one thing but attacking and hating is worse - that makes us just like the angry vengeful behavior we detest
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: Yo there's a kid on my snap chat from LA & they get high off helium gas lmao.... I am like why the fuck lol
This tweet contains emotions: | joy, surprise |
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: The weather changed from sunny and bright to gloomy just in time to match my afternoon mood. 😒
This tweet contains emotions: | joy, love, 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: @DouthatNYT @jbouie @DamonLinker Yes, it is bad to point out racism lest it provoke the racists. Some racists do indeed not like it.
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @Christy_RTR @doge_e_fresh I'm despondent
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: #India is sponsoring terrorism in #Balochistan. #KulbhushanYadav an Indian spy agent was arrested in Balochistan by Pakistani forces.
This tweet contains emotions: | fear |
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: @iJuvia_ \n\nHearing the noises, Akame opened her eyes and sat up, facing Juvia. She didn't expect at all to see someone around and staid --
This tweet contains emotions: | |
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: A black female LEO💙 was shot 8 times and died in Philadelphia --Where's the #outrage black people? @BarackObama #Sharpton #blm #TheFive
This tweet contains emotions: | anger, disgust, fear |
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: #ntfc mourinho is worried, bringing Ibra and Rushford on. #panic
Emotion: fear
Intensity class: | 1: low amount of fear 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: @realDonaldTrump She blamed Benghazi on a YouTube video. She blamed emails on #ColinPowell. Now she blames #terrorism on you. #weakHillary
Emotion: fear
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: The most depressing part of being ill is that your taste goes 😫
Emotion: sadness
Intensity score: | 0.854 |
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: Always doing the EmotionalHedge™ w #WPS\n\nI'm elated about start. Have I mentioned I'm on TAMU -6?!
Emotion: joy
Intensity score: | 0.480 |
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: ♪OLD FISH
This tweet contains emotions: | |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #ThankYouCGI - Do not grow weary in doing good. #CGI2016
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: I just got asked to hoco over instagram dm bc someone lost a bet. Love the maturity of the people in my grade!!!!
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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 took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy
Intensity class: | 3: very positive emotional state can be inferred |
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting 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: that's my breezy breezy breezy that's my breezy that's my buzzinnnnnn.
Intensity class: | 1: slightly 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 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: when people hit on me i try to shake them off by talking about how i hide from communism
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @ByeKandace can't cheer for a jigaboo
Emotion: joy
Intensity score: | 0.146 |
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: @iAmSJ I'm so mad for our clients I'm furious lmao
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Mmmm #coffee and a good #book on a dreary day! Who can beat that?
Emotion: sadness
Intensity score: | 0.250 |
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: @katlute which one....the one where u threaten violence? Or the phedophiliac u support? Or the constitution violations he proposes?
Emotion: fear
Intensity score: | 0.688 |
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: You are NOT your struggle or You are NOT your affliction! #YouAreStrong & #YouAreArising above it all!
This tweet contains emotions: | anticipation, optimism, trust |
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: @Adrian_Specs Far from safe and staid I found it horribly OTT at times while everyone seemed to be trying just a little too hard. Not for me
This tweet contains emotions: | anger, fear |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: my haters are like crickets. they chirp all day but when I walk past them they shut the fuck up.- @DritaDavanzo (my idol)
Intensity score: | 0.531 |
Task: 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: Metal keeps you young and spry and keeps your hair luxurious.\n\nYES\n\nSHUT UP AND LISTEN TO ME
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: Sharpened a pencil today, haven't sharpened once since 1999. ✏️ #exhilarating
Emotion: joy
Intensity class: | 1: low 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: @Tweetermeyer The animated version was better
Emotion: joy
Intensity score: | 0.088 |
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: @St8edge4life88 eh well i can do the sting vs cactus loser leaves wcw match at bash at the beach lol
Emotion: anger
Intensity class: | 1: low amount of anger 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: 😩😩😩😩 heads melted, very tired but can't sleep.
Emotion: fear
Intensity score: | 0.750 |
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: #Violence doesn't fix violence. #pain and #anger are the same reaction in the brain. Cure the pain and the anger will go away.
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @_stfukohle it's ok champ you'll make it I'm cheering you on from a far
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: A night where depression is winning... #depression #fml #help
Emotion: sadness
Intensity score: | 0.896 |
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 you get called #shy this means you are #considered.Turn those #negatives to #positives Quote #MarnieMcCormack from @jpmorgan #womenintech
This tweet contains emotions: | joy, optimism |
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: Sometimes the best motivations come from 'proving them wrong' #energy #relentless #MotivationalQuotes
This tweet contains emotions: | fear, optimism |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: can't believe Mint fest is two days away and i hate my outfit 😩😩🙈 #nightmare
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: Termination rate is at 22.22% I gotta make some things shake
Emotion: fear
Intensity score: | 0.479 |
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: @GreyTheTick But even if I jumped through that hoop, it just takes one irate netizen to decide me playing by 'the rules' isn't enough.
Emotion: anger
Intensity score: | 0.375 |
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: #Talking about our #Problems is our greatest #Addiction#Break the #habitTalk about ur #Joys#quote #optimism #problemsolving #behappy
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: It's now September and we're still battling a situation that was said to be handled March of this year. @ATT this is unacceptable
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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!!
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: You know you're in love when all you can do is smile whenever you talk about how he is to someone.
Emotion: joy
Intensity score: | 0.820 |
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: @OC_Transpo some weeks there are no problems but this week is unbelievable -- are you guys even running regular 12 buses? #solate
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: Honestly fuming
Emotion: anger
Intensity class: | 3: high amount of anger 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: Goodmorning fam, do you know that your critical condition pave way for your miracle, so #dont #be #happy
Emotion: fear
Intensity score: | 0.164 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I feel ghastly and I'm really hoping it's just a post-birthday slump. Back to full research mode tomorrow either way.
Emotion: fear
Intensity score: | 0.620 |
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: some of the casuals tweets that Vic has faved are making me gag #bitter
Intensity score: | 0.135 |
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: Come to the @BullSkitComedy FUNdraiser this Fri. at 8pm @TheScottBlock. Because #pie + #face = #hilarity!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #panic Panic attack from fear of starting new medication
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Watch this amazing live.ly broadcast by @brooke_bridges #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: Awe produces gratitude, gratitude instills joy, & the harvest of joy is contentment.' \n\n–@PaulTripp #awe 😭😭😭
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: This is a beautiful day that the Lord has made. I will rejoice and be glad!!!
Emotion: joy
Intensity score: | 0.880 |
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: @beingbrilliant @johnmurrays you're welcome. It's genuinely made me give my head a wobble and realise what's important in life. #smiling
This tweet contains emotions: | joy, love, optimism |
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: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO
Emotion: anger
Intensity score: | 0.438 |
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: Sometimes I think the British political landscape is desolate and then I look over at the foaming wasteland of the US and think we're OK
This tweet contains emotions: | optimism |
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: @GriffinLaneP @Mediaite The Left has been protected so long, they've lost their reasoning power.
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: @WestermannNina xDD it's a song that can not be weary (?)
Emotion: sadness
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: @kole_holland don't fret, there's another game on at 8 #staytuned
Emotion: sadness
Intensity class: | 0: no sadness 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: ugh!! this is the worst!! i didn't read at all this whole first month of school and i have a unit test on friday!!! awe man!!
This tweet contains emotions: | anger, disgust, fear, sadness |
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: That was a lovely story to actually see Ruth and hubby who won the cashcow @sunriseon7.It was so funny when she left the phone #happy 😊
Intensity score: | 0.900 |
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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know.
This tweet contains emotions: | joy, optimism |
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: The book im riteing about wots happond has made them moor angry but im not here to plese man or hide the eval deeds of some
This tweet contains emotions: | anger, disgust |
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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any #optimism
Emotion: joy
Intensity score: | 0.354 |
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: @PatBlanchfield so you mean “like Uber but for despair for someone other than the driver'
Emotion: sadness
Intensity score: | 0.479 |
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: @fleetstreetfox It's buzzing pathetically for sympathy if you let it out it will twirl it's moustache, chuckle and sting you #Psychowasp
Emotion: anger
Intensity class: | 1: low amount of anger 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: I wish harry would start tweeting people again
Emotion: fear
Intensity score: | 0.195 |
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: Sharpened a pencil today, haven't sharpened once since 1999. ✏️
Emotion: joy
Intensity score: | 0.458 |
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: @ryyyshh story of my life. #lost
Emotion: sadness
Intensity score: | 0.688 |
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: #GADOT please put a left turn signal at Williams and Ivan Allen Jr Blvd. This is absolutely ridiculous #ATLtraffic #horrible
Emotion: fear
Intensity class: | 0: no fear 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: @daemondave @paulkrugman Hey stupid, that was bad intel to take Bin Laden out. Try again with your faux outrage. I bet u admire Putin right?
Emotion: anger
Intensity score: | 0.688 |
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: @chenaidavid easy, breezy, beautiful rasta mon
This tweet contains emotions: | joy, love, optimism |
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: And im not even going to get into how its discriminatory to several religions which mandate its followers to let their hair dread.
This tweet contains emotions: | anger, disgust, fear |
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: @metrotrains why is there no disabled access at pontefract monkhill?
Emotion: fear
Intensity class: | 0: no 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: Ooh #hygge, candles, jasmine tea & #GBBO
This tweet contains emotions: | joy |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @WinchesterGank If only. Lol I just wish once he understood the crazy of his rabid fans & addressed it.
Emotion: anger
Intensity class: | 0: no anger 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: @jamiesonhelen @MarianKeyes all three of my agin's on the pout .
Emotion: anger
Intensity score: | 0.296 |
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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: #RiceFODays now I am Alex Butler's class on financial management. Starts off with a great, relevant class discussion: movies and sunk costs
This tweet contains emotions: | joy, optimism |
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: @ahtareen1 @ReginalAleman @krelifa @zamansj64 @AwiexaB Very pleasing ty!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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: 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 score: | 0.611 |
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: He showed us a really lively performance, with a lot of different emotions, not just sticking to one. And that's freaking awesome.
Emotion: joy
Intensity score: | 0.646 |
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: @obyezeks \nWe can't forget d past.But while we apprehend and punish d culprits of the past,are we going to allow d present to slip away?
Emotion: fear
Intensity class: | 0: no fear 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: My Modern Proverb: 'Don't let anyone intimidate you about being single; most marriages end in divorce.'
Emotion: fear
Intensity class: | 0: no fear 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: @DatelineNBC this is a sight, sound & smell to behold in person--still gives me the creeps to think about.
Emotion: fear
Intensity score: | 0.750 |
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: Just Laying Here, Can't Sleep 4 Some Reason #restless
Emotion: fear
Intensity class: | 0: no 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: we never taste happiness in perfection, our most fortunate successes are mixed with sadness. #success #sadness #perfection #fortunate #mixed
This tweet contains emotions: | optimism, 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: I get so much PUSSY\nP - panic attacks \nU - uncontrollable anxiety \nS - suicidal fantasies \nS - sadness \nY - yearning for death
Emotion: sadness
Intensity score: | 0.833 |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: When you just want all the attention #cantsleep
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Oh I get i see it's #TexasTech playing tonight not the #Texans #TNF #texansarebad #terrible
This tweet contains emotions: | anger, disgust, fear, 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: Yall rlly gotta stop lettin bees put fear in ur heart. unless ur allergic, I'm not tryna see u run around from a fuckin bee...chill. u soft.
Emotion: fear
Intensity score: | 0.542 |
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: Big up @dj_argue, did I miss phantom dread syndrome by @GenesisElijah? dudes sick.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.