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Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Leave it on there, rule,nimber 1 of carpet cleaning!!! #worsethananatomicbomb #accidentlyspillbeeronthecarpet
Emotion: anger
Intensity score: | 0.521 |
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: I wanna go to fright fest with squad
This tweet contains emotions: | anticipation, joy |
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: @Zen1dfabflake You are all our angelic comrades!
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: Buddha doesn't possess enough power to deliver you from your affliction!
This tweet contains emotions: | pessimism |
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: Just over a week until I start my new job in F1! Looking forward to it and cacking myself at the same time!
Emotion: fear
Intensity score: | 0.440 |
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 it an insult or compliment to be told i look like a really happy duck
Emotion: anger
Intensity class: | 0: no 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: When you saw a t-shirt with the phrase 'My mind is a dangerous place to be' and you would like to buy, but in Italy don't sell it. #sadness
This tweet contains emotions: | sadness |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). | Tweet: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #fuming #NoWorkForMe
Intensity score: | 0.200 |
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: TheNiceBot: WSJNordics You make the world a more joyful place. #TheNiceBot #MPN #DemiLovato
Emotion: joy
Intensity score: | 0.680 |
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: Why would Enrique sub off busquet? #hilarious
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @eleanor_binks at least Blake lively and Ryan Reynolds are still together, God bless what a beaut couple
Emotion: joy
Intensity score: | 0.475 |
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: @jaimeotero_ how about saying something like 'if you're concerned about privacy use it only in incognito mode'. #alarmist
Emotion: fear
Intensity score: | 0.500 |
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: @Cassena13 I know if I wasn't an optimist I would despair.
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: @zombieisIand yeah friends of minw have witnesse accidents and a road near me like??? cars hav like sunk?? but ih gosh be safe okay !!
This tweet contains emotions: | fear, optimism, sadness |
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: @Babylonian I convinced my mom to watch it. Killgrave gave her literal nightmares, but watched last episode four times. #smile
Emotion: joy
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: its a gloomy day, im cuddled in my bed watching brendon covering songs and i couldnt be more relaxed or happy π
Emotion: sadness
Intensity class: | 0: no sadness 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: @KimLy resent
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @p4pictures it would be great but what if the card crashes π±. It's happened to me twice
Emotion: fear
Intensity score: | 0.708 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Oii oiii, @Louis_Tomlinson !! \nTHANK YOU for always making me smile ! MY BIRTHDAY is in 16 days. π Mind following me as a gift ? π X225,884
Emotion: joy
Intensity score: | 0.820 |
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: While we focus on issue of #IPCA @IHFOKids Indulges in #intimidation @BringRoshniHome @ChildrensIssues @MEAIndia @MinistryWCD #StopCruelty
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: @Cinestrong something a cyber bully would say
Emotion: fear
Intensity score: | 0.417 |
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: Day 3 of #harvest16 - listening to the sound of the chopper working it's way closer to home at @mountaindairy makes me . #farm365
Emotion: joy
Intensity score: | 0.417 |
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: @johnwintertweet dudes who wanna play some bass but not buy a bass (me) rejoice
This tweet contains emotions: | joy |
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: Swear all of my guy friends are scaredy cats. You don't do horror movies. You don't do haunted houses. Wtf do you do then?
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: Hey u never know, Channel 4's version of #GBBO might actually be quite good. A few adverts aren't the end of the world.
Emotion: joy
Intensity class: | 1: low 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: Panic attacks are the worst. Feeling really sick and still shaking. I should be a sleep. #anxiety #depression
This tweet contains emotions: | fear, sadness |
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: After 3 idk why I start feeling so depress, sad and lonely.
This tweet contains emotions: | pessimism, sadness |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @CGasparino Give it up Gas, I don't hate u, I just don't respect ur rudeness. #bully
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: Sometimes The Worst Place You Can Be Is In Your Own Head.'\n\n #quotes #worstenemy #thinktoomuch
Emotion: sadness
Intensity score: | 0.729 |
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: @MerenthaProphet - the Hunter in this way, content and joyous in simple, domestic bliss? I cannot wait for word of who you truly are to -
Emotion: joy
Intensity score: | 0.349 |
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: if you have been on depression too u shouldn't be judging him and exposing him to everyone, but helping him
Emotion: sadness
Intensity score: | 0.520 |
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: @hotelplanner I stayed at a hotel who packed picnic lunches to take on the road!! #BetterTogether @Redlizzy1 @NewfieChic @Ladybug_Vic
This tweet contains emotions: | joy |
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: some people leave toilets in fucking grim states
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: now im all alone and my joy's turned to moping
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: @judahandthelion TONIGHT. Legit can't wait to rage π€π»π€π»π€π»π€π»π€π»π₯
Emotion: anger
Intensity score: | 0.417 |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @goofoffartiste Ah, the Grand Old Paradox that is fearing the encroachment of the state but loving unconditionally its paid enforcers
Emotion: fear
Intensity score: | 0.500 |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: The outrage over Kessel's tweet by butthurt USA players is hilarious.
Emotion: anger
Intensity score: | 0.354 |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: @smb_ryan @Kamper10 I couldn't care less about #GOTHAM. I haven't watched it since the mid point of season 1.
Emotion: fear
Intensity score: | 0.292 |
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: Beings in my physical reality are my reflection, so me being always joyful extends to their lives.
Emotion: joy
Intensity score: | 0.521 |
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: Watching @melissamccarthy in #Spy she's one of Favorite actresses! Last night I was watching her #theboss #hilarious I just want to meet her
Emotion: joy
Intensity class: | 3: high amount of 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: People are #hurt and #angry and it's hard to know what to do with that #anger Remember, at the end of the day, we're all #humans #bekind
This tweet contains emotions: | anger, disgust, optimism, 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: Missing the 500th test match today , not able to witness it like watching it in India #shy #indvsnz #500thTest @BCCI
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @bear_ing you asshole... you made me sexually attacked to a animated bear :-P
Intensity score: | 0.333 |
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: @Shonna_Ludi @_braaaat_ πππππ resentment
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: @SowerAsh007 Great to hear. If there's one thing that makes you feel more like yourself, it;s some hearty chicken noodle soup, right?
Intensity score: | 0.600 |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: @NFLonFOX @TheDoctorCarson @FOXSports Easy, breezy, beautiful...
Intensity score: | 0.742 |
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: Proverbs 27:9 Ointment and perfume rejoice the heart: so doth the sweetness of a man's friend by hearty counsel.\n#TruthfmDawnBreak
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: @VileBairn Turning then, the older woman looked at Sybil with a most somber expression. \n\nβShe ran away from me. But I cannot blame her.β
Intensity score: | 0.383 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: Halfway to work and I realize I forgot to put on underwear....It's going to be one of those days! #mombrain #toomuchgoingon #longday #breezy
Intensity score: | 0.463 |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Harking back to 2012 - DT's challenge to @POTUS...I will give...DT a hearty thank you...if he will release his tax returns....
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: ordered my vacation bathing suits. one less thing to fret about.
Emotion: sadness
Intensity score: | 0.312 |
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: Candice's pout is gonna take someone eye out mate! #GBBO
Emotion: anger
Intensity class: | 2: moderate 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: Huns are like a box of coffee revels
Emotion: fear
Intensity score: | 0.229 |
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: My prayers are with the family, friends & members of @VCFD as you mourn the loss of Engineer Ryan Osler. #LODD #RIP
This tweet contains emotions: | sadness |
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: βWhen we give cheerfully and accept gratefully, everyone is blessed.ββMaya Angelou
Emotion: joy
Intensity score: | 0.460 |
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: @Berbaqueue @_indubioproreo shocking work ethic by our players, Rooney stifled by their laziness
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: this Mac update has me some kind of apprehensive.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different 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: @_jamiebraidwood haha, horrific is all that needs to be said. Glad I'm away to Spain on Sat so missing game πΉππΊββ
Intensity class: | 0: neutral or mixed emotional state 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: Brb, going 2 start killing random white people going about their normal days. Don't worry though i'm white, so they will safely apprehend me
Emotion: fear
Intensity score: | 0.562 |
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: @joeyskawaii i know i don't know u, but physiatrists are seriously the number one best thing for people with anxiety.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Penny dreadful 3 temporada
Emotion: fear
Intensity score: | 0.479 |
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: i made a squirrel friend today! i gave him the core of the plum i was eating. he seemed very happy.
This tweet contains emotions: | joy, love, 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: @FaithHill I remember it well #happy #Positive
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Delta stuck on runway after being diverted to Fargo. Continuously told just 10 more mins for the past 4 hours. No food/water offered
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Stupid people piss me off...busted my ass...and my coworker takes off with all the tips...thnx for nothing #angry #thatsmyluck
Emotion: anger
Intensity score: | 0.917 |
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: @Away_Label_Not True Indeed! Next time if these midnight hunger pangs worry you,then you can order delicious rolls from #TRC via @ScootsyIt
Emotion: fear
Intensity class: | 0: no fear 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: Already plotting next steps if I get cut off by the same minivan in tomorrow's drop-off line. #preschoolpolitics #momthings
Intensity score: | 0.321 |
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: @chelseafc let them know it's the
Emotion: sadness
Intensity class: | 0: no sadness 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: will brawndo cure my depression? @MikeJudge #Idiocracytoday
Emotion: sadness
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: @littlepieces Customer services got involved and eventually completely wash their hands of it. #awful #dreamornightmare
Emotion: fear
Intensity class: | 1: low 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: @jk_rowling @Riverfeather207 Donald Trump in the White House #shudder
Emotion: fear
Intensity class: | 3: high 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: π©π©π©π© heads melted, very tired but can't sleep. #nightmare
Emotion: fear
Intensity class: | 3: high amount of 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: Idk if it's hella hot in here or I'm nervous
Emotion: fear
Intensity score: | 0.680 |
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: @joey_coops yes Hun! Avoid at all costs!! #nightmare
Emotion: fear
Intensity score: | 0.667 |
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: Bayern Munich pitch is horrific
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: I Don't know what make #Pakistan fear more their #terrorist or their #terrorism #TerrorStatePak
Emotion: fear
Intensity class: | 3: high amount of 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: @ducktapepr @midnightaction @juliea592 @catherinerusse2 I dread to think... #DirtyPeople
Emotion: fear
Intensity score: | 0.646 |
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: @matthew_meadows Since it's a friend of Pereg's I don't want to offend :) #Peace
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @stoozyboy1 @chris_sutton73 ππ Oh the zombie rage π
Emotion: anger
Intensity class: | 0: no anger 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: Every dancers dream song #snap #worldpower
This tweet contains emotions: | anticipation, joy, love, optimism |
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: He totally knew about it'. Trump finally gets revenge for his son-in-law's prosecution/imprisonment and throws Christie under the bus.
Emotion: anger
Intensity score: | 0.458 |
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: #TerrorStatePak @sardesairajdeep Pakistan invitadated 4 times in India and why we worry to invade our own land #PoK? Which is disputed.
This tweet contains emotions: | disgust, fear, pessimism |
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: Blood is boiling
This tweet contains emotions: | anger, disgust |
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: Who knew softballs could sting so bad? Jimmy Fallon has been under a lot of heat for his “softball” Donald Trump interview
Emotion: anger
Intensity score: | 0.414 |
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: eun: im really unhappy with this and i dont like her like that pls dont\n\nyall: okay but SHE loves HIM
Emotion: sadness
Intensity score: | 0.604 |
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: I can be so shy but once I come out of my shell that's it π
Emotion: fear
Intensity class: | 0: no fear 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: The joyful tambourines have ceased. The noise of the jubilant has stopped. The joyful lyre has ceased. -Isaiah 24:8
This tweet contains emotions: | pessimism, sadness |
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: Who actually chooses to drink sparkling water π€
Emotion: joy
Intensity class: | 0: no 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: @everycolorbot more like every color looks the same #triggered #colorblind #offended
Emotion: anger
Intensity class: | 2: moderate 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: My anxiety is playing around HELP!!!!!
Emotion: fear
Intensity score: | 0.705 |
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: @Red9Nick @Audi_Nutz @NickBuck08 @Thompson2Neil @Insaniti_LFC @knoller2 @KemlynRoadStand @godisared don't be shy their great peopleππ»ππ»
Emotion: fear
Intensity class: | 0: no fear 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: @JOjojosiejay or in my case a raging moody cow lol why i buy moody cow socks lol
This tweet contains emotions: | anger, disgust, joy |
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: @MHChat sadness with resentment is the past, sadness with fear is the future. try to live in the now #MHchat
Emotion: anger
Intensity score: | 0.172 |
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: @TheOneSoleShoe You're doing a terrible job exemplifying the values you espouse. Yesterday you lamented losing a generation of voters...
This tweet contains emotions: | anger, disgust, 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: @steenfox I'm feeling the exact same way. Also I read this in Akon's voice, it provided me with a hearty chuckle
This tweet contains emotions: | joy |
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: ο₯οοΌ- its lit having a class with you!!! Your such a great person and good at cheer!!
This tweet contains emotions: | joy, love, optimism |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @value4tax @Hopkins_Alison That part of Queensbury is a shocking disgrace. The route from the station to Morrisons is festooned with rubbish
Intensity score: | 0.220 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: i really want to read this fic i found but it's #serious and this room is full of #memes
Emotion: sadness
Intensity score: | 0.292 |
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: @AzyraiZelo I am shy xD
Emotion: fear
Intensity score: | 0.417 |
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: @Dubai92 try asking for a cheeseburger with only onion & mustard at any #McDonalds #hilarious
This tweet contains emotions: | joy, surprise |
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