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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: @Communism_Kills i get the subway melt and make sure it's only hearty italian bread... black olives are a must though
This tweet contains emotions: | joy, love, 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: @Red_Magpie @ali_faceache1 @joanna_caron @KCBFD @xMATTxLAWx he's not exactly a rabid tub thumper compared to McTernan now is he.
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: The Zika #Hoax Files: DEET is part of a binary chemical weapon targeting your brain: #Toxin #fear #neurological #USCitizens #Insect #mammal
Emotion: fear
Intensity class: | 1: low amount of fear 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: @IreneEstry can't wait to see you Hun #cuddles #gossip
Emotion: joy
Intensity score: | 0.669 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Luis Ortiz ducked by Ustinov which means fights off, and he left @GoldenBoyBoxing future not looking to bright for Ortiz #boxing
Emotion: joy
Intensity score: | 0.288 |
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: @BBCTomEnglish @TimesSport And the dreadful Franglaise.
Emotion: fear
Intensity score: | 0.292 |
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: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to.
Emotion: joy
Intensity score: | 0.160 |
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: 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 #lol #hilarious #punny
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: Crossword puzzle is oat meals solitary respecting the flat out portentous nutrient rootstock re scruple failur...
Emotion: fear
Intensity score: | 0.375 |
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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n #education #learning
Emotion: joy
Intensity class: | 3: high amount of 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: @coalese 😂😂😂. Sure half these stars get together,break up,have affairs,let porn vids slip out,fight,ect etc all to up there ratings. #sad 😂
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: I wish harry would start tweeting people again
This tweet contains emotions: | sadness, trust |
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: #recession, #economic #gloom? The brightest #stars shine in the darkest nights! Our #html5 #webdesign rocks! #rtblitz #finovate #wlsb
Emotion: sadness
Intensity score: | 0.521 |
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: Gotta wonder why Caller Max listens to the show in the first place if you so incense him @MSignorile
This tweet contains emotions: | anger, disgust, pessimism, surprise |
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: @DSWT I despair at this madness! It's beyond #shocking it's cold blooded murder! How long will #SouthAfrica stand by &watch #WorldRhinoDay
Emotion: fear
Intensity score: | 0.771 |
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: Absolutely fuming that some woman jumped into my prebooked taxi and drove off 😡
Emotion: anger
Intensity score: | 0.750 |
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: @SkyUK what a joke!! Cut our internet off early 'by mistake' and then don't reinstate it when we no longer need an engineer 😡 #fuming
Emotion: anger
Intensity class: | 3: high 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: Our soldiers in war zones are held to a higher level of rules of engagement than our police officers. #sad
This tweet contains emotions: | disgust, pessimism, 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: I can't have a dog in my flat! Literally no reason either! Sorry potential doggie! #landlords #doglover #sad #angry #rescuedog #dog ;_;
Emotion: anger
Intensity class: | 3: high amount of anger 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: I HATE little girls 😡😡 got a lot off growing up to do!!! #fuming
Emotion: anger
Intensity class: | 3: high 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: Any #entrenepuers, #start ups, #SME's out there looking for proactive #accountancy, #tax and #business advice? We can help. Get in touch.
Emotion: fear
Intensity score: | 0.208 |
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: one month til someone's bday and i think it's time to flaunt that I got them something pretty awesome
Emotion: anger
Intensity score: | 0.143 |
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: People that smoke cigarettes irritate my soul.
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: @LakersTakeover it ain't that serious. #HOUvsNE #awful #igotbetterthingstodotonightthandie
Emotion: fear
Intensity score: | 0.466 |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: I'm nothing but a hateful and bitter fag
Emotion: anger
Intensity score: | 0.750 |
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: @madihayousufzai Please DM your concern
Emotion: fear
Intensity score: | 0.271 |
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: As #life gets longer, #awful feels #softer, well it #feels pretty soft to me. #modestmouse @modestmouseband
Emotion: fear
Intensity score: | 0.554 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' Sherlock Holmes
Intensity score: | 0.500 |
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: @notquitefrodo @dominictarason I remember TAs in the gamedev program said he had temper tantrums in class all the time lol
Emotion: anger
Intensity class: | 0: no anger 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: One of my favorite classic cars is the Plymouth fiery.
Emotion: anger
Intensity class: | 0: no 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: Gahh...BT, in queue for 30 minutes.. Now put through to BT Sport dept to cancel... back in a queue again... #shocking
Emotion: fear
Intensity class: | 0: no fear 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: @PrinceJumbo You're welcome and thank to you likewise! What are you hoping to learn, like your no 1 concern?
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: @DumTeeDum don't think Ian knew of Pavel. He knew about Charlie. I bet Rob will cackle with glee when he heard what has happened #thearchers
Emotion: joy
Intensity score: | 0.330 |
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: GKN so lively as well, mad quick
Emotion: joy
Intensity class: | 0: no 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: @keprdad BTW, George W Bush left office in ,09. We have had terrific leadership under Barack Obama. Keep America Great.
This tweet contains emotions: | anger, disgust, joy |
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: @HumbleTeej @CourtneeHendrix even if he says nothing, he'll still piss some people off. He's gotta decide who he wants to make angry.
Emotion: anger
Intensity score: | 0.438 |
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: Be joyful in hope, patient in affliction, faithful in prayer. Romans 12:12
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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: @Steeeevie_ breezy luvvvv
Intensity score: | 0.645 |
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: @Justin_Gau @JamesMelville You certainly wouldn't catch me with the multitude. #ghastly
Emotion: fear
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: @GambinoDeeJay @Linda76Graham @mikeeshy \n\nAnd also, trying to find it on Youtube is a fucking nightmare.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Recently changed to @firstdirect and its the worst service I've ever encountered nearly require DNA to access anything. #awful 😩😩😩
Emotion: fear
Intensity class: | 0: no 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: On the other side of fear lies freedom! - JB Glossinger #quote
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: @hanktastic1776 @sue51684 @EternalRiteWing If you watch his UN speech you can see his resentment towards us Americans!!!!🇺🇸✝🇺🇸
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: Might go on @RadioX tomorrow to hopefully win a new car. My current one stinks of gone off milk. #grim
This tweet contains emotions: | disgust, optimism, sadness |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: its been ages since ive had shawarma my stomach is #rejoicing
Intensity class: | 3: very positive emotional state 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: @_JESSICAVIDAL_ Just pour it down the sink and let him drink you.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Sometimes I watch shitty tv to reinforce never giving up cuz if something is that fucking awful on tv, I still stand a chance.
Emotion: joy
Intensity class: | 0: no 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: @ChrisWarcraft species cf. Don Jr. refugees/Skittles.know he likes his snacks,but even @gop frown on talking about eating humans #lizardscum
This tweet contains emotions: | anger, 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: Excited and nervous for Tuesday
Emotion: fear
Intensity class: | 0: no 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: @IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot
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: People too weak to follow their own dreams will always find a way to discourage yours.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @TheRachelFisher i've seen a bunch of that on another twitter feed and I remember you had an opinion on it #shocking
Emotion: fear
Intensity class: | 0: no 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: half day tuhday but nah for glee 😭
Emotion: joy
Intensity score: | 0.125 |
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: Police don't wanna be called pigs but they keep actin like em....honestly that's even an insult to pigs
This tweet contains emotions: | anger, disgust |
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: Radio shake mutli directional mike it might sound cheap but the sound wasn't that bad and you could do some mixing.
This tweet contains emotions: | optimism, trust |
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: It'd probably be useful to more than women, but I'm dealing with re-reading an article about a woman being harassed on the subway. #concern
Emotion: fear
Intensity score: | 0.676 |
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: @_j_sa_ switch out Steve Carrell and put in Kurt from glee then it's accurate
Emotion: joy
Intensity class: | 0: no joy 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: Y'all bitches be so angry and bitter, that must truly suck lol
Emotion: anger
Intensity class: | 3: high 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: They're both awful in their own ways, but just saying. The way he treated Aniston alone makes him a nightmare male narcissist to be avoided.
Emotion: fear
Intensity score: | 0.583 |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Now #India is #afraid of #bad #terrorism.
Emotion: fear
Intensity score: | 0.646 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: incredible that anthony weiner has been caught chasing a busty milkmaid across a park at double speed while jaunty music plays
Intensity score: | 0.387 |
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: @ChronAVT ummm, the blog says 'with Simon Stehr faking 7th'...I'll expect an investigation forthwith. This is an #outrage
This tweet contains emotions: | anger, disgust |
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: #smackdev #ptp #start oh yeah!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Manchester United v Manchester City #happy days #EFL
Intensity score: | 0.758 |
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: @yonahimes they never posted stuff like this?????\ni mean i was able to scroll over it so it wasnt a big deal but it was
Emotion: fear
Intensity class: | 0: no fear 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: #soywax limited edition horror candles going up @scentedscreams! Follow us for all the latest news!!
Emotion: fear
Intensity score: | 0.396 |
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: How the fu*k! Who the heck! moved my fridge!... should I knock the landlord door. #mad ##
This tweet contains emotions: | anger, disgust |
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: Been up since 4am. Too scared to go back to sleep #nightmare — feeling scared
Emotion: fear
Intensity score: | 0.938 |
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 #greatest fear #dogs know is the #fear that you will not come back when you go out the #door #without them.” \n ―#Stanley #Coren
This tweet contains emotions: | fear |
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: incetown, age 23, joyful, elevated in hope with the
Emotion: joy
Intensity score: | 0.417 |
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: Always do sober what you said you'd do drunk. That will teach you to keep your mouth shut. \n― Ernest Hemingway #quote
This tweet contains emotions: | optimism, trust |
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: Seeing something that hurt so much in the past in front of me now and not a single sign of grieve. Magicalllll. ✨
Emotion: sadness
Intensity score: | 0.396 |
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: @ExaltedCaptain reality in the form of endless tragedies. She didn't know how to react at first, being too frightened to repeat another--
Emotion: fear
Intensity class: | 2: moderate 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: @blackeyed_susie They ain't going away, and I don't want to see them hurt; changing hearts/minds is really our only option, no?
Emotion: joy
Intensity class: | 0: no joy 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: @BjerkeDanielle @FunnySayings lol that's hilarious
This tweet contains emotions: | joy, optimism, surprise |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: When we give cheerfully and accept gratefully, everyone is blessed.\n»Maya Angelou\n\n@DrMayaAngelou #RIP #MayaAngelou
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: @WSJNordics You make the world a more joyful place. #TheNiceBot
Emotion: joy
Intensity class: | 3: high amount of joy 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: @davidplotz @Commentary She writes with sort of the same playful cynicism that you do! :)
Emotion: joy
Intensity score: | 0.604 |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! #smiling
Intensity score: | 0.900 |
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: Nothing is more relentless than a dog begging for food
Emotion: anger
Intensity score: | 0.479 |
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: @UlsterWillFight @VanguardBears Looks like a rabid pack of inbreds.
This tweet contains emotions: | anger, disgust |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @FraserKeegan just had a steak pie supper #tremendous
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: Let's refuse to live in #fear - #c$%t
This tweet contains emotions: | fear, 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: It's not always how you #start it's how you #FINISH
Emotion: fear
Intensity score: | 0.188 |
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: only time I am ever cheering for you Johnny
This tweet contains emotions: | joy, 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: The current run of superman continues to be a delight! You can feel the love poured into it by everone on the creative team #superman
Emotion: joy
Intensity score: | 0.654 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: #Always #borrow #money from a #pessimist. He won't #expect it #back.
Intensity score: | 0.452 |
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: Does this blow your mind as much as it blew mine, or did I just sexually harass someone? #WHOA #Mindblown #huh #setback #fright #madashell 😂
Emotion: fear
Intensity score: | 0.667 |
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: *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 |
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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest
This tweet contains emotions: | anger, disgust, fear |
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: Only God knows why things happen, sometimes it's just hard to understand. #prayingforyou
Emotion: sadness
Intensity score: | 0.529 |
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: The most important thing to #bestrong is to hold your #thoughts
This tweet contains emotions: | joy, optimism, trust |
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: @FlakeJay ring ring! #depression is here
Emotion: sadness
Intensity score: | 0.833 |
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: Hopefully I'll get this Best Buy job, and officaly #start my #streaming #career , working towards doing something I love #1DayAtaTime
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: My roommate talks and laughs in her sleep. It never fails to scare the shit out of me. 🙅🏽😳
Emotion: fear
Intensity score: | 0.833 |
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: Watch this amazing live.ly broadcast by @brooks_swaggysquad #lively #musically
This tweet contains emotions: | 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: My soul is weary of fighting the battles in this world. #BlackInAmerica #WeAreNotSafe
This tweet contains emotions: | anger, disgust, fear, pessimism, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: I'm just always too shy
Emotion: fear
Intensity score: | 0.625 |
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: Still salty about that fire alarm at 2am this morning.
Emotion: fear
Intensity class: | 0: no 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: I had a dream that I dropped my iPhone 7 and it broke T_T #cry #iPhone7
This tweet contains emotions: | anticipation, fear, pessimism, sadness |
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