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Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @kerrybowen_ you have anger issues!
Emotion: anger
Intensity score: | 0.500 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon
Intensity score: | 0.902 |
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: @HumbleTeej @CourtneeHendrix even if he says nothing, he'll still piss some people off. He's gotta decide who he wants to make angry.
This tweet contains emotions: | anger, disgust |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: okay false alarm it's working again
Emotion: fear
Intensity score: | 0.208 |
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: @JordySloan love that Jordy #revenge ⚽️
This tweet contains emotions: | anger, joy, love, optimism |
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: Update: I have yet to hang out with @MisElizaJane, but I'm still hopeful!
Emotion: joy
Intensity class: | 0: no joy 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: @BigBossPeltonen \nLikewise #death #cutting #despair
Emotion: sadness
Intensity score: | 0.729 |
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: @SMalloy_LWOS that's not easy to blow up the LT on a run play. He created the seam for Sua to burst through
This tweet contains emotions: | joy |
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: It's meant to be!!
Emotion: joy
Intensity score: | 0.583 |
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: What terrible thing to see and have no vision-\n\nHelen Keller-\n\n-Begin with the end in mind-\n\nStephen Covey-\n\n#whereareugoing #relentless
Emotion: anger
Intensity class: | 1: low amount of anger 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: @ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt
This tweet contains emotions: | disgust, fear |
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: tfw you're en-route to your future :) !! @HUCJIR i'm coming for ya! #openhouse #futurecantor #exhilarating #NYCletsgo
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @Budget car rental you have made realize why I always use @nationalcares!!!! What a !! #disgusted
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: @GuardianAus @Paul_Karp Maybe 49% support no #Muslim immigration cos they perceive the risk of #Islamist ideology & #terrorism as too high?
Emotion: fear
Intensity score: | 0.625 |
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: I dislike people who get offended by the littlest shit .
Emotion: anger
Intensity score: | 0.729 |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I've got some new pens to break in. Name an animated series and I'll draw you in that style 🖍
Emotion: joy
Intensity class: | 1: low 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: why yall hyped abt that girl getting to hang out w JB, he clearly looks so unhappy and bored in the pics no offense LOL, plus he hates yall
This tweet contains emotions: | anger, disgust |
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: Patriot rookie QB Jacoby Brissett to start vs Houston tomorrow nite.\n\n'Been a learning process since I got here.Gotta be ready to go.'
This tweet contains emotions: | anticipation, joy |
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: Excited and nervous for Tuesday
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: @gothictana im a delight
This tweet contains emotions: | joy, optimism |
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 focal points of war lie in #terrorism and the #UN needs to address #violentextremism
Emotion: fear
Intensity score: | 0.750 |
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: Is this the Krusty Krab?\n\nNo this is crippling depression
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Im really constipated. This is depressing
Emotion: sadness
Intensity class: | 3: high amount of 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: @GarthJennings loved #sing #tiff but 1 q there is 1 japanese line but obviously spoken by non japanese. no way to find japanese for 1 line?
This tweet contains emotions: | joy, love, trust |
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 forgot about this nice area down here with the fiery hearths
Emotion: anger
Intensity score: | 0.250 |
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: @morgannbroom yes ❤️❤️ & cheering homecoming game!
Emotion: joy
Intensity class: | 3: high 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: @Daniel_Sankey @hayleyp79 Haha.... Actually, after the Doggies I'm barracking for Anyone But GWS!
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: Woke by #nightmare @ 3AM, couldn't sleep any more, so took a #UseAllTheHotWaterShower. Now I have time to read.
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @vkon1 @WindyCOYS by all accounts he was poor first half. Started showboating once game was safe #bully
Emotion: fear
Intensity score: | 0.438 |
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: It's about time I start taking my own advice
Emotion: fear
Intensity class: | 0: no fear 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: @NHLstoreNYC I'm cheering for @TeamNA_WCH and @TeamEUR_WCH #NHLNYCSweepstakes
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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: .@Travelanswerman: When U ride on a pile of salt life is extra sweet! Always salty always savory! #surfing #aloha #smiling …
Intensity class: | 3: very positive emotional state 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: #brigetjonesbabys #brigetjonesbaby was the best film! #hilarious - so good - so funny!! 🙌
Emotion: joy
Intensity class: | 3: high amount of joy 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: @CrucialBMXShop ohh silver lake came up a lot on there! Is that where you guys stayed?
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: And you as well! #sparkling @cherebork @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen
Intensity score: | 0.638 |
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: Patti seems so sad. She stamped and ran behind the sofa. We will have to give her plenty of love and affection...more than usual.
This tweet contains emotions: | joy, love, optimism, sadness |
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: @teenageic0n_ you'll be pleased to know my family are blues
Emotion: sadness
Intensity score: | 0.333 |
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: Oh, I should just 'get over' my #depression and 'be happy?' Don't you think I've tried that thousands of times already? You're not helping.
Emotion: sadness
Intensity class: | 3: high amount of 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: @teenageic0n_ you'll be pleased to know my family are blues
This tweet contains emotions: | anticipation, joy, optimism, surprise |
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: Can't believe @virginmedia are putting their prices up!! They already know I'm struggling to pay my bill & won't change my package!! #raging
This tweet contains emotions: | anger, disgust |
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: @URClassless I think that yawning actor died of a drug overdose.
Emotion: joy
Intensity score: | 0.042 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: @everycolorbot more like every color looks the same #triggered #colorblind #offended
Intensity score: | 0.427 |
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: When I was new, I hate the Judge Judy sponsorship style- but looking back it was the only thing that worked. #recovery #sober #cantconacon
Emotion: sadness
Intensity score: | 0.312 |
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: @clairepilkingt2 oh god no that's awful mine don't last that long thank god. Thank you\n Xx
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Will WHU be old bill free by the time the game with Chelsea comes around? 😂 😂 😂\nThat will be lively to say the least\n#AFC
Emotion: joy
Intensity score: | 0.771 |
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: How can I tell Happy Anniversary, when u are not happy.. #bitter #ampalaya #paitpaitanangpeg
This tweet contains emotions: | disgust, sadness |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: You have a #problem? Yes! Can you do #something about it? No! Than why
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: Instagram seriously sort your sh*t out. I spent ages writing that caption for you to delete it and not post it!! #instagram
Emotion: anger
Intensity class: | 3: high 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: 1Pet 4:7 But the end of all things is at hand: be ye therefore #sober, and #watch unto prayer
This tweet contains emotions: | optimism, sadness |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I polished my nails, but can't find the polish remover. It look like a 3yr old polished my nails lol
Emotion: fear
Intensity score: | 0.125 |
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 WANNA GET UP AND DANCE!!!! (but everyone is in bed) this sucks! Everyone wake up!! 😯 #hyper #happy #letsdance #dirtydancinginthemoonlight👌
Emotion: joy
Intensity class: | 3: high amount of joy 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: The majority of people irritate the fuck out of me, cba with people ahahah
Emotion: anger
Intensity score: | 0.862 |
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: The neighbor dancing in the Clayton Homes commercial is me.
Emotion: joy
Intensity class: | 1: low amount of joy 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: @Onision @Eugenia_Cooney annoyed by the good loving fans of Onision including myself Is really annoyed at how people just are too cheerful.
Emotion: joy
Intensity class: | 0: no joy 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 gave up on the U20 Rugby bet on the Roosters! #nrl
This tweet contains emotions: | pessimism, sadness |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: All options are on the table - #revenge is coming.
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: Okay you've annoyed me, you haven't done a good job there at all.
Emotion: anger
Intensity score: | 0.792 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: The people that call in to POV on KX4 make my night.
This tweet contains emotions: | anticipation, joy, trust |
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: Ignored broken tooth for so long, now have abscess. Need dentist but #fear makes it hard for me to go..45 and still can't go to dentist
Emotion: fear
Intensity score: | 0.896 |
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: There are adults commiting serious crimes in the name of protest.(like burning a library) how are we just expecting them to get a warning?
Emotion: anger
Intensity score: | 0.604 |
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: @diamonde my heart just sunk.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I don't even #feel #anger anymore can't explain it .. #Tulsa #Charlotte #Trayvon #SandraBland #Philando #Ferguson #BatonRouge #MichaelBrown
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: @Zen1dfabflake You are all our angelic comrades! #flutter
This tweet contains emotions: | joy, 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: How do you ever stop being #afraid of someone that you live with
This tweet contains emotions: | fear, pessimism, sadness |
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: Your twitter picture just makes me fume.
Emotion: anger
Intensity score: | 0.729 |
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: Watch this amazing live.ly broadcast by @swagrman_fan #lively #musically
This tweet contains emotions: | joy |
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: @alicemazzy he was more partisan on social issues a few years back; now he just concern trolls the center left as Chait does the far left
This tweet contains emotions: | anticipation |
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: When something makes you excited, terrified, thrilled, nervous, elated & like you've been kicked in the guts all at once. Need word for that
Intensity class: | 0: neutral or mixed emotional state 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: A lot of positives tonight. A clean sheet, Payet got some free kick practice, Zaza looked lively and made a lot of good runs
Emotion: joy
Intensity class: | 3: high amount of joy 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: @strictlysimilak something about English sparkling wine would be good. Or farmhouse cider. Or Italian cocktails. Thanks.
Emotion: joy
Intensity class: | 0: no 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: Whether you are rejoicing or fighting back tears, God wants to share the moment with you.
Emotion: joy
Intensity score: | 0.458 |
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: He accusd India of HR violations in Kashmir BUT refusd to name India's role in fomenting terror in Pakistan through TTP, BLA & MQM.shame #ZH
Emotion: fear
Intensity class: | 1: low amount of fear 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: Literally dying & living at the same time as I catch up on @adrian_ver 's twitter. If you aren't following him your life is BASIC.
Intensity class: | 0: neutral or mixed emotional state 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: now playing yung fav song ni chavs #sober 😂
This tweet contains emotions: | joy, optimism, sadness |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I would just give her with their naked body.
Emotion: fear
Intensity class: | 0: no fear 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: @DiscordianKitty He has charisma? I guess, if you like people who looked coked out and speak as if they're a school bully?
Emotion: fear
Intensity class: | 0: no fear 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: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch. #anxiety
Emotion: fear
Intensity class: | 3: high amount of fear 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: So my Indian Uber driver just called someone the N word. If I wasn't in a moving vehicle I'd have jumped out #disgusted #offended
Emotion: anger
Intensity class: | 3: high amount of anger 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: @OutdoorLoverz is this a bridge if I have to drive on such I will stop breathing Yooo I can't I'm to afraid
Emotion: fear
Intensity score: | 0.833 |
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: Focus on yourself. Don't let other's love define you when you're happy and don't let it make you bitter if you get hurt.
This tweet contains emotions: | love, 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: Hell hath no fury like a bureaucrat scorned. ― Milton Friedman
Emotion: anger
Intensity score: | 0.458 |
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: .@WotzupCapeTown - thanks for sharing! Surprise guests! @HumanJurgen & visiting US Tenor Sax @CunninghamColin. #livemusic #capetown #blues
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Lesdoggg take me with you!! JK. Have fun, relax, get a massage or two and chill. Don't eat the cucumbers, most places frown on that.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: The best revenge is massive success. –Frank Sinatra
Intensity score: | 0.672 |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: I am always ready to #smile.
Intensity score: | 0.724 |
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: 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: @outmagazine jesus heck you're awful
This tweet contains emotions: | anger, disgust |
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: @AQpk which was worse than expected and hilarious too. no one will even remember.
This tweet contains emotions: | disgust, joy |
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: @lee_family5 @USAneedsTRUMP @HillaryClinton @realDonaldTrump You can't be serious. This man practices no religion. Only in church campaignin
Emotion: sadness
Intensity score: | 0.396 |
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: @StephenKing\n\nStephen King never once spoke out about how the Left crushes #FreeSpeech in publishing world.\n\n #Trump #scifi #ccot #p2
Intensity class: | 0: neutral or mixed emotional state 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: @theJeremyVine Noel Edmonds reckons a cat he's talking to is stressed because of the uncertainty over #GBBO future!?!? #plot #lost
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @Cory_Bonini AP didn't have a productive week 1 or 1st half against GB and Kalil is horrible! @Vikings D is its strongest asset currently.
Emotion: fear
Intensity score: | 0.396 |
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: Watch this amazing live.ly broadcast by @elise_awsome_11 #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: I've got some new pens to break in. Name an animated series and I'll draw you in that style 🖍
Intensity class: | 1: slightly positive emotional state 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: Ffs 🙈 when things come back to haunt you... cringe bad cringe 🙋🏼👀🔫 👈 what a terrible gun that is
This tweet contains emotions: | anger, disgust, fear |
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: Or when they hmu on snap, and I'm like.. which one are you. 💀
Emotion: anger
Intensity class: | 1: low amount of anger 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: Texans and Astros both shut out tonight. Houston, we're back to normal. #texans #Astros #sadness #losers
Emotion: sadness
Intensity score: | 0.688 |
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 need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕
Emotion: anger
Intensity score: | 0.271 |
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: Impractical Jokers...practically genius!!! @BQQuinn #good4thesoul #ImpracticalJokers #bingewatching
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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest #sad
Emotion: sadness
Intensity score: | 0.750 |
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