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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: The #chiropractor makes me so #happy.
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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us 😭😭 @__KirstyGA #raging #oldcunt
Emotion: anger
Intensity class: | 3: high 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: @Cmdr_Hadfield CNN's Wolf Blitzer calls you an American astronaut and you don't correct him? #dissapointed
Emotion: fear
Intensity class: | 0: no fear 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: Getting ready to open the tastings at Whisky Shop Dufftown Autumn festival! #panic #murraymcdavid #whisky #drams
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: @LeonWobYP b***er off. NCFC is a grudge match :)
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: Best quote from a 7 in German - Almost
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: @GMModular @goldmedalindia horrible experience with a company like this #goldmedal #horrible sales person #wrong commitments#wrongproduct
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: Sorry @wow_air definitely going with @Icelandair next time, this is beyond unreasonable @wowairsupport #yourappologiesmeannothing
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: @cassidyyy_0 literally Nicole already had her chance and she played shitty both seasons. #bitter
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: @XGames looks exhilarating! Looking forward to seeing 👍🏼
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Mother Nature dropping mad beats out there this morning. Just wish they wouldn't shake my shower stall while I'm standing there naked.
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: Are you lost in the fury, fearing that you'll fail?
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: how maybe it was with you and your parents..that I would understand you and your fear of indifference from your own mom and dad..
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Jimmy Carr makes me want to cry and cry *shiver* #awful
Emotion: fear
Intensity class: | 2: moderate 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: Wee cunts playing chappy in my street, got my shoes on so I can chase and scare the fuck out of them
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: The most important thing to #bestrong is to hold your #anger #thoughts
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: He: u r beautiful\nShe:i hve a bf\n\nSame as \n\n#India :u guys r #terrorist\n#Pak:we have #nuclear #missiles.\n\n#IndianArmy #terror
Emotion: fear
Intensity class: | 0: no fear 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: @Ker_Anderson Maybe this evening if I can 😀
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: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' -Sherlock Holmes-
Emotion: joy
Intensity class: | 0: no 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: @pottermore : I can't find my patronus, the website doesn't work, I can't even see the questions.... #sadness...
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: Changing my hair again
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: dammit @TMobile whays going on!!! 😤😤😤😤 lol #smh #mobilefails
Emotion: anger
Intensity class: | 3: high 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: #ThankYouCGI - Do not grow weary in doing good. #CGI2016
Emotion: sadness
Intensity class: | 0: no 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: Interesting briefing this evening to learn how to shape housing policy in #Epsom&Ewell upto 2032 and @EpsomEwellCA Cllrs absent
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: Thought I left that part of life behind me\nIt's back to haunt every girl that loves me
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: Have any of you ever stayed in hostels overseas? My only frame of reference is the movie Hostel, and we all know how that went.
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: Listening to @wdwradio at work is my slice of sunshine in this dreary cube world #9to5life
Emotion: sadness
Intensity class: | 1: low 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: @PrincessCasGirl @DaddyEllis__ tiff you better hurry cause 👀
Emotion: anger
Intensity class: | 1: low 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: Ill say it again. If I was a Black man Id be afraid to leave my house or have a moving violation.\n\n#TerranceCrutcher #truth #sad
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: @alphavenger all chuck seasons, she had that one bright spot with dan, where she was allowed to be smart and kind //and// fashionable
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: I've come to the conclusion that the online world is seriously 'fucked up' there's absolutely no other words to describe #bleak #grim
Emotion: sadness
Intensity class: | 1: low 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: @CScheiwiller can't stop smiling 😆😆😆
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: @PARISDENNARD why should I listen to someone with a tie like that? #awful
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: When someone tells you they're going to 'tear you apart' and all they have to say is 'why are you so tall?' #shocking
Emotion: fear
Intensity class: | 0: no fear 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: @JimRichMoriarty + I am in your life! *He yells* Surprise, surpriiise! *He chirps cheerfully, with a wicked grin on his lips*
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: @BbeautifulSoul_ u always gotta attitude tho ... 😕 cheer up
Emotion: joy
Intensity class: | 0: no 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: The return of Matt Damon, and of director Paul Greengrass, brings back all the exhilarating if rather po-faced entertainment to a movie
Emotion: joy
Intensity class: | 1: low 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: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #timetogrind
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: Never switched up, stayed down this the same person since day one.
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: @LeahSKahn honestly. All I care about is Selasi not messing this up. His lackadaisical attitude isn't good for danishes.
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: @mtailor “20% Better Than a Tailor”? Least a tailor would know #navy vs. #blue. $500 and 4 weeks for an #innacurate suit?
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: *on a lighter note*\nGG, Nkaissery & Total Man? The rate at which Jubilee is losing these votes!! 😟
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: mattmilne76 Thank you for letting us know! Please do not hesitate to contact us in the future, if our assistance is needed. Thank you!
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: A 28 yr old man threw a saucepan of boiling water at a garda, & then hit the garda with the shaft of a brush...Letterkenny District Court.
Emotion: anger
Intensity class: | 1: low 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: When ya'll talkin about you know who I don't know who ya'll talkin bout, I'm on the new shit....chuckin up ma deuces......🔥🔥 #kanye
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: @lizbon @anomalily @gerikkransky Sorry for the levity if at all inappropriate but this combined with my love of Charlotte reminds me rn...
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: When a grown adult doesn't drink or has never drank before I just assume they were raised around a raging alcoholic and they want no parts.
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: Holding a #grudge doesn't make you #strong; it makes you #bitter. #Forgiving doesn't make you #weak; it sets you #free.
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: Wow! Today, totally seeing alot of #mean #people out in this #world! Turn it around and #start cultivating #kindness! #SuccessTRAIN #warrior
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: Am 'ugly' guy whos pleasant geuine and happy > an evil attractive guy whos bitter and coniving and superficial
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: @ChurdAllan fucked my coupon that goal! #raging
Emotion: anger
Intensity class: | 3: high 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: @SINice Damn.. Lol.. Maybe it is for the best though.. Her brother might still be lookin for revenge 😂
Emotion: anger
Intensity class: | 1: low 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: Finding out my two best Fwendz are going to rage with me at @lifeisbeautiful makes this last week of no sleep extra worth it
Emotion: anger
Intensity class: | 1: low 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: Yesterday is history, tomorrow is amystery, and today is a gift; that's why they call it the present #livelife #humbleness #live
Emotion: joy
Intensity class: | 1: low 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: Pussies - In the dark, they're all the same
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: When you realize there is #NoHopeForHumanity so you just #start focusing on what's #best for you.
Emotion: fear
Intensity class: | 0: no fear 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: #COINCIDENCE??? When you turn on the TV, etc.& listen & watch, the objective is to #CaptureYourMind with #fear & #depression. #FindGODNow!!!
Emotion: sadness
Intensity class: | 2: moderate 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: India wants to #shake #hands with # pakistan ..... but as usual pakistan #cheat with every #indian \n\n..........shameless pakistan
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 met with an employment specialist this morning & she basically told me its unlikely i'll get a job because i clearly have too much anxiety
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I'm just a fuming ball of anger today 🙃
Emotion: anger
Intensity class: | 3: high 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: @AdamSinger bubble implies it will burst?
Emotion: anger
Intensity class: | 1: low 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: @Senpai_Vanilla This would be the height of hilarity, were it not for the fact that the adult swan is highly likely to attack.
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: @Jen_ny69 People will always get offended everyone's situation is different! Just because we have kids doesn't mean we have to settle
Emotion: anger
Intensity class: | 2: moderate 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: God just replaced my sadness with laughter, can't go the whole day sad ...
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Love all the ex United managers on Twitter who form our fanbase. Honestly I despair at times. Just back the fucking team eh #MUFC
Emotion: sadness
Intensity class: | 2: moderate 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: @maidinaustralia D: That's horrid. *hugs*
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: What the fuck is he even doing ? He should be off that's fucking horrific !
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: @jonnyp_43 @MedicNow like going to a so called cardiac arrest that turned out to be a cut finger! #fuming #medchat
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 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: @NHLstoreNYC I'm cheering for @TeamNA_WCH and @TeamEUR_WCH #NHLNYCSweepstakes
Emotion: joy
Intensity class: | 2: moderate amount of 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: Smile at people and see what happens. I think you'll be surprised #smile more #surprisepeople #influenceinternational
Emotion: joy
Intensity class: | 3: high 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: I love how cheery and adoring @JackHoward gets every time he produces new content.
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: @StephenKing\n\nStephen King never once spoke out about how the Left crushes #FreeSpeech in publishing world.\n\n#Trump #horror #scifi #ccot #p2
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: 'When the mind is denied the emotional sting of losing it never figures out how to win.' -Jonah Lehrer
Emotion: anger
Intensity class: | 0: no 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: @AQpk which was worse than expected and hilarious too. no one will even remember.
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: @TheFienPrint So true & well said. It seems ve old fashioned looking back on it. I liked Robbie on TV. Not loving all these movies #aghast!
Emotion: fear
Intensity class: | 0: no fear 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: Theme of week: Ask the Lord for strength & perspective to persevere in #integrity and effort, despite being #disheartened & disappointed.
Emotion: sadness
Intensity class: | 2: moderate 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: testing #angry
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: @AiringOutMyScro \n\n'We'll see, once you're a few drinks in.' \n\nA playful wink is passed to him and, as they pull up into the small lot of -
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: Democracy doesn't work\n #mob #mentality #mass #hysteria #mongering #oligarchy
Emotion: fear
Intensity class: | 2: moderate amount of 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: The abysmal ignorance, frivolity and levity of the Italian priests stupefied him.' - Roland Bainton on Luther, #ReformationDay
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: honestly all my friends do bnc i mean it and i am feeling #terrible hahaha
Emotion: fear
Intensity class: | 0: no fear 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: @Grinbins I couldn't force myself to give him any money. 😀
Emotion: joy
Intensity class: | 0: no joy 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: Don't forget 2 test yr #smoke #alarm, #carbon #monoxide #detector #batteries. It could save your #life. 🐈🐩 #Lovinleeds
Emotion: fear
Intensity class: | 0: no 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: #Determine to #start putting the Word in your #heart #consistently. Every day a #line here, a line there--a tape here, a #tape there 💨
Emotion: fear
Intensity class: | 0: no 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: @ParkerMolloy @KFILE Very misleading heading. Not to mention an agenda driven article.
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 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: @quiettcricket can you maybe break it down into smaller bits? or space it out so it doesnt seem to daunting?
Emotion: fear
Intensity class: | 0: no fear 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: courage the cowardly dog is like american horror story for kids
Emotion: fear
Intensity class: | 0: no 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: Connie's fuming at Bake Off and went 'fuck this I'm starting on the vodka'
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: Feel the wrath of my air-dropped pamphlets!
Emotion: anger
Intensity class: | 2: moderate 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: I'm worried someday I'll be yelling at my kids and they'll be confused about if or not I'm being serious 😭😭😭\n\nI'm too damn playful
Emotion: joy
Intensity class: | 0: no 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: @LogicIsPowerful Not all of them are bad. But I support your right to offend them all.
Emotion: fear
Intensity class: | 0: no 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: #GBBO is such a homely pure piece of tv gold. Channel 4 will attempt to tart it up. Mary, Sue and Mel gone. It's over. I'm out. 👋
Emotion: anger
Intensity class: | 1: low 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: @xxmariab listen yh don't provoke me cos I'll make you cry
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 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: How on earth can the projection of all that is good and happy and true in my soul be a poisonous fucking snake? #patronus #adder #offended
Emotion: anger
Intensity class: | 3: high 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: An unchallenged present creates a complacent future. #TuesdayThought #selfimprovement #success #excitement
Emotion: joy
Intensity class: | 1: low 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: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️
Emotion: fear
Intensity class: | 1: low 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: ya girl is #bitter
Emotion: anger
Intensity class: | 1: low amount of anger 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: @Nataliem55 sadly, war has often been the factor that jump starts US economic growth
Emotion: sadness
Intensity class: | 1: low amount of 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: The time has now come that we have to combat this wave of #terrorism with the right tools of the trade. - HH @YounusAlGohar #BanWahhabism
Emotion: fear
Intensity class: | 1: low amount of fear 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: Having a terrific Tuesday? Crush it today with the Power of 4. Treat your internet like Pizza =D \n#PowerOf4
Emotion: fear
Intensity class: | 0: no fear can be inferred |