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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: @hoemanda69 wtf is tenacious and jubilant
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: You know, you're pro-actively playful. You want to press your boobs into my face, Tatenashi. I'm not saying no, though. =3
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: Watch this amazing live.ly broadcast by @brooke_bridges #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: 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: 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: Thurston offers Gallen a ‘peace’ of his mind: NORTH Queensland playmaker Johnathon Thurston insists he holds no grudge against Paul G...
Emotion: anger
Intensity class: | 0: no anger 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: 'Sleepy' lotion by @lushcosmetics smells like if a bouquet of lavender and a bunch of toasted marshmallows had a love child. #delicious
Emotion: joy
Intensity class: | 2: moderate 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: Literally hanging on by a thread need some taylor ray tonight loving a bad dog sucks #taylorrayholbrook #hurting @TaylorRaysTweet
Emotion: sadness
Intensity class: | 1: low 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: @samsteinhp stop the presses, @realDonaldTrump said/proposed something racist.
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: The man who is a pessimist before 48 knows too much; if he is an optimist after it, he knows too little.'\n-Mark Twain
Emotion: sadness
Intensity class: | 0: no 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: @TheSGJournal Step 1: Get rid of @LittleStokePark Step 2: Prioritise football Step 3: profit? #depressing
Emotion: sadness
Intensity class: | 2: moderate amount of 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: Can't stand it when lads put their middle finger up in pics
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: Jeong su is easy to get along with everybody likes him and not intimidated by him.. I like him.. he reminds me of seunghoon
Emotion: anger
Intensity class: | 0: no anger 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: Finn singing 'Can't Fight This Feeling' in the shower and Will spying on him is one of the best scenes on any show. #glee
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @Singaholic121 Good morning, love! Happy first day of fall. Let's make some awesome #autumnmemories #annabailey
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: @AwardsDaily Looks that way. I don't want to see how Q is going to handle Tate murder. #shudder
Emotion: fear
Intensity class: | 2: moderate amount of 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: Accept the challenges, So that you may feel the exhilaration of victory.\n\nTOMIHO IpaglabanMo TapingDay2
Emotion: joy
Intensity class: | 1: low 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: I stepped into the shower and my spidey senses tangled. I immediately looked up and saw a spider directly above my head.
Emotion: fear
Intensity class: | 3: high amount of 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: So #glad all four of our #top picks got through on #AGT
Emotion: joy
Intensity class: | 2: moderate amount of 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: Brighten up a gloomy day with a @SiennaXOfficial spray tan, we have a tan to suit everybody! #spraytan #tan #summer #godalming #hurtmore
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It was at least boiling temperature last night.
Emotion: anger
Intensity class: | 0: no 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: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan.
Emotion: anger
Intensity class: | 0: no anger 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: @MessYourself why? Do you have depression?
Emotion: sadness
Intensity class: | 2: moderate 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: @Ren102e906 Just do what you can, don't get discouraged, maybe some prayers for divine intervention to help you would help :)
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Fast and furious 6 this Monday 10 pm on mbc 2 😍😍😍😍😍😍😍
Emotion: anger
Intensity class: | 0: no anger 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: @Groupon_UK who do I contact about a shocking experience with Clear Sky Holidays booked through you guys?? #customerservicefail
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: 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.'
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @NHLstoreNYC cheering for @TeamNA_WCH and @HC_Men
Emotion: joy
Intensity class: | 2: moderate amount of 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: don't put famous dex in a tweet with breezy lol chris is that guy dex a bitch lmao n music ass
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: +++ '#Dearly #beloved, avenge not yourselves, but rather give place unto #wrath: for it is #written, #Vengeance is #mine; I …' #Romans12v19
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @SwiftShimada SPARKLES, proud little huff. Still posing mind you.
Emotion: anger
Intensity class: | 1: low 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: @FitnessFirstAU something needs to be done about people hogging machines - nobody can use 3 machines at one time! #angry #notfair #whypay
Emotion: anger
Intensity class: | 3: high amount of anger 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: Will I get in trouble if @Cody_Nolove or @GordonRamsay show up at #UFC215 and I try to find them at Rogers? 😂 (under 3 weeks!!) #excitement
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: After sleeping past noon, I look out the window to see my hotel has a HOT TUB!!!!! #bliss
Emotion: joy
Intensity class: | 3: high amount of joy 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: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to #fear
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @alliex both, scrap *ll the rage instead
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Last Sunday YouTube glitch making me lose up to 20 subs is heartbreaking for a channel my size! Nearly at 1K though #1Ksubs #youtube soon 😀
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: Most days, I don't know what my heart beats for. #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: @iyaycruz lets see chirp
Emotion: joy
Intensity class: | 0: no 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: #Worry, #doubt, #fear and #despair are the enemies which slowly bring us down to the ground and turn us to dust before we die.
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: Like keep grinding boy your life can change in one year, and even when it's dark out the sun is shining somewhere...'
Emotion: sadness
Intensity class: | 0: no 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: #PeopleLikeMeBecause they see the happy exterior, not the hopelessness I sometimes feel inside. #depression #anxietyprobz
Emotion: fear
Intensity class: | 3: high amount of 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: @PhilGlutting Hey There Phil Glutting thank you for following us, it's appreciated :) #smile
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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #hilarious #cleverpeople
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My best friends driving for the first time with me in the car #terrifying
Emotion: anger
Intensity class: | 0: no 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: 4-2 Canada final tomorrow #WCH #Predictions #optimism #Canadian 🇨🇦
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Fra93_bruno wow I'm just really sadden by that. Terrible
Emotion: sadness
Intensity class: | 3: high amount of 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: #redvelvet #wendy #seulgi #irene #yeri #joy \n1. Which member that can not drink sparkling water ?
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: her fingers slide along your thighs, caressing the skin before she's leaning down, down, down and the first lick is teasing n playful.
Emotion: joy
Intensity class: | 2: moderate 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: No offense but to the ppl out there using creams to build your glutes...COME ON. Go squat and what not.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Val got a little too big for her hiking boots with that bakewell, the little terror #GBBO
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: Paranoia is a fear every races has
Emotion: fear
Intensity class: | 1: low amount of 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: You're so cute @katienolan #truelove #hilarious @GarbageTime #beautiful & #graceful never heard explicits spoken with such elegance. #Mingo
Emotion: joy
Intensity class: | 3: high 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: @jamieyates That's what we strive for, Jamie! Please don't hesitate to reach out if you have any questions along the way. 🙂
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: and i shouldve cut them off the moment i started hurting myself over them :o
Emotion: sadness
Intensity class: | 3: high amount of 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: If @TheRock's Presidential run is as bad as his appearance in #Baywatch neither party need fear his run. That's $8 I'll never get back #crap
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Watch this amazing live.ly broadcast by @iamjustinburke #musically
Emotion: joy
Intensity class: | 2: moderate 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: Luke 1:14\nHe will be a joy and delight to you, and many will rejoice because of his birth
Emotion: joy
Intensity class: | 2: moderate 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: Get the feeling @Eurosport_UK and @itvcycling might be reviewing showing all stages in full. Poor @robhatchtv @nedboulting 😴😴😴 😉 #dull
Emotion: anger
Intensity class: | 0: no 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: @chelseanews4you Best of luck blues army make us feeling goofy this season again BLUES TILL ETERNITY
Emotion: anger
Intensity class: | 0: no anger 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: @noris_prosk8r2 (Maybe don't provoke him in the future if you do not want to run the risk of him punching your board.)
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness
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: Follow up. Follow through. Be #relentless. #success
Emotion: anger
Intensity class: | 0: no anger 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: Im so serious about putting words in my mouth bitch don't add ' the ' to my sentence if I didn't say that shit on bloods
Emotion: sadness
Intensity class: | 1: low amount of 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: @_MariaPetrova should have stopped after 'smiled'. Being rude=not the same as being funny.It was just being mean #bully #stoppickingonwomen
Emotion: fear
Intensity class: | 2: moderate amount of 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: #EFT is the single most effective tool I've learned in 40 years of being a therapist-Dr. Curtis A. Steele (psychiatrist) #stress
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: @indermethil True. We were rejoicing the fact that we signed a quality young CB but we need one more at least. @MarcBartra ? mebbe :P
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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: Didn't think Cadres not Getting SRC deployment would make some Cadres so bitter, Ku tough Macom.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. Sydney J. Harris
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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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: Go follow 'juspopmolly' on snapchat that hoe sitting on the sink right now @Cocaineandtacos
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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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: @sszmata @PKessel81 Blew up the Internet with his chirp. Lol. Love it.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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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: @candycmarketing What happens if you don't want to watch this 'content'? Can't vote then 😆
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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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: @JohnMayer No DSM shows. #sadness
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: Still can't log into my fucking Snapchat#Snapchat #snap
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: @Budget car rental you have made realize why I always use @nationalcares!!!! What a #nightmare!! #disgusted
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I freaking hate working with #word on my phone #write #writing #writerslife #writerproblems #writer
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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 feel like an appendix. I don't have a purpose. #depressed #alone #lonely #broken #cry #hurt #crying #life
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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: Sometimes, you just need to eat a delicious piece of chocolate to remind yourself that there's no need to be bitter. Sweetness redeems.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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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: Ugh.. Why am I not asleep yet. Fml. I think low key I'm afraid I might miss something. #SleeplessNight #sleepy
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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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: The ghost of Stefano reflects on the grim indignity of being murdered by corrupt cops in faux love. #days
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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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: Somebody who has braved the storm is brewing.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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: It's #HobbitDay! \nHobbit's give gifts on their birthdays, so I'm sharing the gift of #glee today! Find something that makes you happy!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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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: @ehtesham_toi @RaviShastriOfc unfortunate decision, our players are more of superstars than cricketers. BCCI scared of their tantrums.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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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: 'we need to do something. something must be done!!!!!'\n\nyour anxiety is amusing. nothing will be done. despair.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I can't pull myself out of depression
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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: My 2 teens sons just left in the car to get haircuts. I'm praying up a storm that they make it home safely!! #TerenceCrutcher
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
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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: @russian906 @kingerpag @dannewton1978 Of have a suspicion it was @lct1975 you know!!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: @715d1\nI bought the Steam port of Vice City, and to my delight Billie Jean is on the soundtrack!
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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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: @_Kdddd drop some off at 1133 cheery
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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: incredible that anthony weiner has been caught chasing a busty milkmaid across a park at double speed while jaunty music plays
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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: Feeling like I've had the worst night of sleep ever - not great before the #London to #Brighton #cycle ride for @DMTFYP 🚴100k ?
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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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: ... flat party and I instantly get bollocked about it.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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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 click on download on my PC. Message says 'Thank you for downloading #iTunes \nSo, where's the download?! #frustrated
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: Perks of having that shit: I lost a friend somewhere along in the bitterness
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: if anyone spoils any of my fucking shows I will haunt you in the afterlife so help me god
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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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: Be gracious to me O God...for my soul takes #refuge in You; in the shadow of Your wings I will take #refuge... psalm 57:1 #hope #jesus #joy
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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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: When I think about Yondu & his crew, Rocket, & Groot doing 700 jumps to Ego planet, I start laughing.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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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: There will be no #gaming video today. An old friend of mine passed last night, so I'm taking some time to grieve. Thank you #StandUpToCancer
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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: Imagine how sad LA fans are gona be when they get eliminated...Man that's gonna be Nirvana, a religious experience rejoicing in their misery
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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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 base when it's going to rain here off of brills snap stories.
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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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: felt a bit shit getting a very high blood sugar then i remembered it's my first one above 15 this week which is incredible for me!
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |