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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: On my life I'll never understand why anyone would pay money to see @LifeOfDesiigner
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: I'll just have to #eat my way to #sobriety. This'll be a hell of a journey back to #sober
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: Why would Enrique sub off busquet?
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: How long will they mourn me?
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: follow my girl tiff she only got 3 followers💖💘💖💘💘 @00tiffanyr
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @jessebwatters lol. Love it when you aggravate Juan. Keep up the good work. Lol
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: More #checking at #work today\n\n#coffee #drank and now it's #down to some #serious #business \n\n#Thursday bring on #Friday
Emotion: sadness
Intensity class: | 0: no 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: @metrotrains why is there no disabled access at pontefract monkhill?
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Thank you disney themed episode for letting me discover how amazing the @BlackishWriters are!
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: if u have time 2 open a snap, u have time 2 respond
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too
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: @_haye_ optimism is he'll lose, that's actually a compromise :P
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: @diamonde my heart just sunk.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: ffs as if tate thought wind in the willows was a serious play, can't wait to see him play a singing badger 😩😂
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: ICQ is just making me mad!!!😤 #icq
Emotion: anger
Intensity class: | 3: high amount of 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: Fosu Mensah is having a complete nightmare! It's the reason all Northamptons attacks come from the left.
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: I love seeing happy women, that glow is something real.
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: @rtrn94 Mine is that the party did decide but the party has been slowly transformed into a vengeful hell-cult of white male resentment
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: Round 2 #pcola
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: @FoxNews Very thought provoking & leads one to question what really happened.Very sad for all.
Emotion: sadness
Intensity class: | 3: high 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: @ManUnitedWriter He has had a dreadful first half, not to mention rashford would've got on the end of a couple of those through balls #pace
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: @Ms_HeartAttack holy shit it just a bee sting like fuck you're not dying
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: Someone set off the fire alarm and I'm so angry because I was in the middle of moisturizing my elbows
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @_BlueCouture The hilarity of you people not realising that racism is racism regardless of whether one uses choice words is hilarious.
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: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! #smiling
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: Open to suggestions on a good #horror movie. Just saw 31 and It follows recently, dug both. Gimme something good. #movienight #netflix
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: All clouded out.\n\n Considering using a camera, 1) star trails 2) eyepiece projection.
Emotion: sadness
Intensity class: | 0: no 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: @LethalWeaponFOX promised I wouldn't live tweet, but @DamonkWayans + @ClayneCrawford brought it! @JordanaBrewster and #furious action FTW!
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My nephews n cousins are nowhere near bad guys, but they could be killed @ any moment by a cop that thought they were bc of their color
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Prayers & Protection to our brothers and sisters fighting in #Charlotte #against #machines
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: @sreeniv51294598 hahaha dear d not worry discuss
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: Why did Alex just growl at me.. 😂😂😂
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: I just killed a spider so big it sprayed spider guts on me like a horror movie.\n #ugh
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @airtelindia have some issues with my broadband bill ,I am charged for the month before I signed up with airtel..
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: @RonBaker6694 I got a super speeder and lost my license for 6 months! 😩🔫
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: I Don't know what make #Pakistan fear more their #terrorist or their #TerrorStatePak
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: Why is it so windy? So glad I didn't ride my bike. #wind
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: Hi Luke hemmings\n\n💐🌸💐\n\nIf I had a flower for every time you made me smile, I'd have a garden. Please follow me? \n\n💐🌸💐\nI love you. x16,092
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: Oh daaaaaaamn @SophiaBush! #getitgirl #girlpower #anger #rawr #ChicagoPD
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: @Netflix_ME penny dreadful season 3?
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: @LacesUntied_ yea lol catchy you fret
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Glad I didn't watch smackdown because I can't see my men @JasonJordanJJ @WWEGable lose. #sohurt #revenge
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: yesterday i finished watching penny dreadful and from all the beautiful things i saw one question remains: were the writers HIM's fans?
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: Finally have all my braces on and I can't stop smiling 😊😊😊😊😊
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Olajide_Shutti lmaoo. It will be a joyful day.
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: I get so angry at people that don't know that you don't have a stop sign on Francis and you do at Foster #road
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: What an actual nightmare
Emotion: fear
Intensity class: | 2: moderate amount of 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: @jay_roseee but that new breezy & tiller 🔥🔥🔥🔥🔥
Emotion: joy
Intensity class: | 1: low 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: @NahteWilly @AFP that was neither intelligent, definitive or useful shall I name call or would you like to expand on how I have offend you ?
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
|
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @kcbbcxo don't get discouraged! it's early on & it can get overwhelming. keep reading & use cue cards 😊 it'll get better!!
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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest #sad
Emotion: sadness
Intensity 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: Well, this is cheery. #MrRobot
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @FluDino Event started! everyone is getting ready to travel to the lake of rage, where everything glows
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: God just replaced my sadness with laughter, can't go the whole day sad ...
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: the Bushes were good with the forces of resentment when it made them money and gave them power. Now that it doesn't they've changed tunes.
Emotion: anger
Intensity class: | 1: low 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: @JessicaZ00 @ZRlondon ditto!! Such an amazing atmosphere! #PhilippPlein #cheerleaders #stunt #LondonEvents #cheer
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: @cameronNewton #colinkaepernick protests because of the unjust murder of #keithlamontscott in North Carolina #injustice #outrage #speakout
Emotion: anger
Intensity class: | 2: moderate amount of 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: Absolutely fuming I've just scratched all my car 😡😡😡😡😡😡
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: The kid at the pool yelling is about to get a foot up his ass. #shutup #parents #kids #horrible
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: I love when people say they aren't racist right before they say some racist shit... Not how that works... #fuming
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why to have vanity sizes?Now sizes S,XS(evenXXS sometimes) are too big, WTF?! Dear corporate jerks, Lithuania didn't need this. #rant
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: American horror story in bed 👌🏼
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic.
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: Groom gloom.
Emotion: sadness
Intensity class: | 3: high 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: Think like a queen. A queen is not afraid to fail. Failure is another steppingstone to greatness. Oprah Winfrey
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: @ImNotInfected — rather someone that could help her. Concern clouded her green eyes, not once having seen a girl alone in the woods and —
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #smile #offalonehugots
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Take heart amid the deepening gloom that your dog is finally getting enough cheese. ― National Lampoon, 'Deteriorada'
Emotion: sadness
Intensity class: | 1: low 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: If you love something, let it go. If it comes back, it is yours. If it doesn't, it never will. #sadness #accepting
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: @alooftroye so what you mean to tell me is that.... glee is...... getting less........... gleeful?
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: Don't think I'll hesitate to run you over. Last time I checked, I still had 'Accident Forgiveness' on my insurance policy...
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: People are #hurt and #angry and it's hard to know what to do with that #anger Remember, at the end of the day, we're all #humans #bekind
Emotion: anger
Intensity class: | 0: no 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: 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! #happy
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: one ep of despair arc made me happy but and then i'm going back to future arc and i'm upset again.
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Even at this level, rojo still manages to play god damn awful. #MUFC
Emotion: fear
Intensity class: | 0: no fear 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: Was going to get a new #horror movie #tattoo tonight, but my artist flaked out on me for the 3rd time & said he was done tattooing!
Emotion: fear
Intensity class: | 0: no fear 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've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be. #apprehensive
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: In fact, sometimes i don't get furious at people who wrong me, but i get furious at myself for being a fool.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If Monday had a face I would punch it #monday #face #punch #fight #joke #like #firstworldproblems #need #coffee #asap #follow
Emotion: fear
Intensity class: | 0: no 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: Idk if it's hella hot in here or I'm nervous
Emotion: fear
Intensity class: | 1: low 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: Just paid for chicken at @panerabread and didn't even get any 😑😑😑 there goes 4 dollars and me as a customer
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I should have stayed at home.
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: ⊰ @FrameOfAnAngel ⊱ \n\n+ Of them. I'm here for answers, and if I scare her to death, there won't be answers for me. \n\nSo instead, I just +
Emotion: fear
Intensity class: | 1: low 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: When @idinamenzel says she's releasing more #IdinaParty tickets and you set an alarm to not miss it... #fingerscrossed #Idina.
Emotion: fear
Intensity class: | 0: no fear 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: @EducatedNPetty white pricks that were laughing at your use of language won't be crying over your coffin but rejoicing that you're another
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: Research has determined 70% of #laughter is actually #anxiety.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: So fucking mad my blood boiling.
Emotion: anger
Intensity class: | 3: high 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: Which #JohnCarpenter #horror #action #flick is your favorite ??
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: What a sad evening - clearing out all of Harvey's cage and belongings. Now so final. Goodbye my little man.... #depressing
Emotion: sadness
Intensity class: | 3: high 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: @evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me then!
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Can't start a good day without a cup of tea! \n\n#tea #start #day #goodday
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: @cazzrhughes its reflective of the current political debate
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: @ReserveHinata tend to them he's going to get infections. \n\nHe's frowning and looking down as he does this. \nIt must hurt damn.]
Emotion: sadness
Intensity class: | 1: low 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: LOL! @TheFrankJLopes was just awarded the “F” bomb trophy on #AutoDealerLive, @RealMatKoenig :) #serious
Emotion: sadness
Intensity class: | 0: no 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: r U scared to present in front of the class? severe anxiety... whats That r u sad sometimes?? go get ur depression checked out IMEDIATELY!!!
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: @Kruzer You're not stealing my girl, I've solo'd Crota's End flawlessly. Do not try or face the wrath of the machine 😤
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @easyJet Hi folks. Flight is going to be over an hour late departing from INV (EZY864), how do we go about getting a refund please? #boiling
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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #nudes #tits #snapchat
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: With only 7 months left until I possess my undergraduate degree, I feel like I can't handle adulthood anymore #anxiety #nojobsinbiology
Emotion: fear
Intensity class: | 3: high amount of 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: 75' Tierney reaches a deep cross to the back post and plays it back across but the Alloa defence clear. Celtic relentless here.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |