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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: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch.
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: @Norn_IronMaiden @forest_fr1ends It's hilarious
Emotion: joy
Intensity class: | 3: high 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: @elena_yip My random guesses for you! A potential Amelie, Kenneth of 30 Rock (but YA instead of TV) & maybe w/ the optimism of Lara Jean?
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: i used to think the fire detector going off at my old place when boiling water was bad but this one went off bc of DUST and wouldnt turn off
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why doesn't anybody I know watch penny dreadful? βΉοΈοΈ
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @MrsCassonC @15_jordyn WAS THERE A CLOWN IN YOUR NEIGHBORHOOD? #creepy #EnoughIsEnough
Emotion: fear
Intensity class: | 3: high 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: @littlebakaa @AlcohoIPorn give me a smiling emoticon will ya? i dont like the idea of you frowning >.<
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: @Plasma_Assassin @ArmouredDove @BallsOnY0u N-no. Because of your wrath.
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: In 2016, Black people are STILL fighting to be recognized as human beings. #cantsleep #angry
Emotion: anger
Intensity class: | 3: high amount of 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: Fuck being shy, I'm trying to be up in them thighs.
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: @emorottie true sonicsatam was serious and a bit dark. Aosth is like super goofy and Looney toonie to a degree
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: Paul forever. Paul should have won! Paul played such a better game! #BB18
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: My ukulele bag has fallen apart. ο WELLL AT LEAST my life hasn't yet!! #Joys\n\n#quote #problemsolving #behappy
Emotion: joy
Intensity class: | 0: no joy 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: #PeopleLikeMeBecause they see the happy exterior, not the hopelessness I sometimes feel inside. #anxiety #anxietyprobz
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @KhoroshiySoldat --prepared.\n\n'Not as far as I know.' was her dull reply. 'There are still survivors, members from it. Like I said,-/
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: testing
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: Watched tna for the first time in a long time what the hell happened to the #hardyboys #impactonpop #wwe
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: I can never find the exact #emoji that I'm after at the exact moment that I need it #panic
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: @gardiner_love : Thank you so much, Gloria! You're so sweet, and thoughtful! You just made my day more joyful! I love you too! ππ
Emotion: joy
Intensity class: | 3: high amount of joy 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: Threat factors in respect to provocation bulb worm: BnQo
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: @thomeagle Just to help maintain and boost our status as a world class centre for education, culture and tolerance.
Emotion: anger
Intensity class: | 0: no anger can be inferred |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: How can America be so openly embracing racism.
Emotion: fear
Intensity class: | 1: low 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: This provocation sets off a curiosity. An entity is feeding fuel to the fire. speaking quatrains. Hmmm America needs to be vigilant now
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: Today has dragged on #restless
Emotion: fear
Intensity class: | 1: low amount of 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: Left my phone in Mcds
Emotion: fear
Intensity class: | 0: no fear can be inferred |
|
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It's 5:55am. I'm hungry but there is no food.
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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris
Emotion: sadness
Intensity class: | 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: @DoubleEph sadly his best days are behind him
Emotion: sadness
Intensity class: | 2: moderate 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: @Courteoussoul @MattyMcDee I'm at 349 and just decoded 20 or more blues and not one was over 340, where you getting your blues?
Emotion: sadness
Intensity class: | 0: no 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: @thebully10 does being a #bully make u feel like a #bigman? Cos it makes u a #twat
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: Watch this amazing live.ly broadcast by @evanhufferd #lively #musically
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Positive thoughts on these gloom cloudy days
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @B4caferacer I see things in the clouds that others can't see so I can
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: Before revenge you feel good after revenge you feel worse π― @HillaryClinton
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: @RyuRedwings2 and I have discovered you can now send animated gifs over the updated iMessage
Emotion: joy
Intensity class: | 0: no joy 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: @British_Airways just came of BA6426 at @ortambo_int at least 6 passengers with broken bags. This was a new suitcase. #unhappy customer
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: Ya tremble like Mr. Cooper, yo we hanging
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: Trying to book holiday flights on @britishairways website is becoming a #nightmare
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: #NawazSharif says India poses unacceptable conditions to dialogue.#India's only condition is an end to #terrorism. :@MEAIndia
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Everyday I wake up, a different @SpursOfficial player signs a contract extension! Love it!! #future #is #bright #COYS
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: Niggas murking in each other. In murky water, I try to swim.
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: @jkriv You're most welcome. Please check with us anytime you have a question or concern.
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: It's a beautiful day today. Cloudy but sunny and breezy.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My nephew sees that i have a frown on my face and he tells me 'you're beautiful '!π’ππ©
Emotion: sadness
Intensity class: | 2: moderate 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: @turoturok We're glad to hear that everything is resolved. If you need anything else, please do not hesitate to reach out to us. TY!
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: It's an exhilarating feeling. Working hard and feeling accomplished whether they notice or not--- you feel fu*king good π€
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: @yonahimes they never posted stuff like this?????\ni mean i was able to scroll over it so it wasnt a big deal but it was
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 #new day to #live and #smile. Hope all the #followers a nice #night or #day. :D
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: Honestly I've come to a place where I keep getting discouraged but just gotta tell myself to keep pushing through it.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: So is cheerfulness, or a good temper, the more it is spent, the more remains. Ralph Waldo Emerson
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: How am I supposed to intimidate the freshman if half of them are taller than I am??
Emotion: fear
Intensity class: | 1: low amount of 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: Most people never achieve their goals because they are afraid to fail.
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: @ahtareen1 @ReginalAleman @krelifa @zamansj64 @AwiexaB Very pleasing ty!
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: @ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt
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: @serendipity127_ @zombiecalorie @Angel_Eyes66 I'm sensing a theme here tho 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: π₯βοΈYeahβΌοΈ PAULβΌοΈβοΈπ₯ #glorious #BB18
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: Some of these fb comments and/or tweets should make some people realize why black Americans feel the way they do π³
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #America finding #gratitude amidst the sadness and frustration about race, #fear, anger and #racism, i remain hopeful _ i'm an earth fixer'
Emotion: fear
Intensity class: | 1: low 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: @OstinOng YUUUHH ππ plus clin ep and prevmed ugghhh hahaha
Emotion: anger
Intensity class: | 1: low 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: pressure does burst pipes π
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: May the optimism of tomorrow be your foundation for today.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Thinking about trying some comedy on youtube. Always been fond of it. Time to nut up. #comedy #maybeoneday #hopefullyfunny #LOL
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: @OtherkinOK @ParadisoAdam Very nice show guys! Now I have supported you, I expect you cheering at my @dublinmarathon on Oct 30th πππ
Emotion: joy
Intensity class: | 3: high 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: my husband lost Β£800 when he booked an apartment through @Airbnb that didn't exist... @AirbnbHelp didn't care #airbnbnightmare
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: You dont have to feel grateful to be grateful, for it is written ' all things work together for good' for those who love God. #cheerful
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @hoemanda69 wtf is tenacious and jubilant
Emotion: joy
Intensity class: | 0: no joy can be inferred |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @01Starblazer 9 -9 vs Atlanta this yr, 2 - 11 vs Rockies and DBacks this yr. That's a combined 11 - 20 vs 3 atrocious teams in NL
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: I wouldn't have #anger issues.....if she didn't have #lying issues.....think about that one. #pow #lies #confusion
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: gifs on iOS10 messaging app are hilarious.
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: Most of PROFITABLE FX MONEY MANAGER clients don't mind with high profit share we take, since they are very #happy with the returns they make
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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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: @BigBossPeltonen \nLikewise #death #cutting #despair
Emotion: fear
Intensity class: | 3: high 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: @cc_yandian @HillaryClinton her team must draw from a hat for daily personality #drugged #yeller #quiet #screamer #ππ
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: @Tomstarling86 He didn't have many chances to show what he can do but looked lively and had a good shot tipped over the bar before the end.
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: RE: #politicallycorrect #BS What if I am #offended by your assumption the USA should change because you are a 'visitor' & don't like it?
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @virginmedia I've been disconnected whilst on holiday π€ but I don't move house until the 1st October π€
Emotion: anger
Intensity class: | 1: low 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: Everton not playing and fume on here have day off
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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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: Just Laying Here, Can't Sleep 4 Some Reason #restless
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: Oh man it's been so long since I've played #madden I am trash anymore.
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: @komaebun He just has that way of thinking, he wants absolute hope born from absolute despair.
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 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: Synth backing tracks = sadness\n#depresspop #dark #+++ #alt #fuckingmeup
Emotion: sadness
Intensity class: | 3: high 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: I really really resent having to go to bed at a sensible hour, you guys. I WANT TO TALK TO MY PEOPLE.
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: Now it's time to remove CB from the team somehow. Screw it. Rip the Band-Aid off. It'll sting for a bit but everyone will get over it.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal 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: We have left #Maine. #sadness
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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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: them cold, dark nights are slowly creeping in π
Emotion: sadness
Intensity class: | 2: moderate 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: @Elaminova sparkling water makes your life sparkly
Emotion: joy
Intensity class: | 1: low 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: But 'for me not to worry, they'll get a glass guy over and bill us for it'
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @jaymohr37 droop saw naked wrestling and asked 'What if I get a hole in one?' #jaymohrsports
Emotion: sadness
Intensity class: | 0: no sadness 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: #Pain is an aspect of #human evolution; the evolution of #consciousness. #attachments #desire #apathy #sentimentality #tears #fury #anger #O
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: I had Golden Ocean the other day it was lush, then I gagged and was sick... What a waste of Β£20 - I was fuming @EmmaGould_ I miss you
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: Fee otherwise tricks: palm oil delegation mt jaunty resident: TZxCHLdAQ
Emotion: joy
Intensity class: | 0: no 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: Henny and pine apples π€
Emotion: sadness
Intensity class: | 0: no sadness 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: The Sunderland time line is quite funny with all the doom & gloom in facing us and the long trip to us midweek. #whatgoesaroundcomesaround
Emotion: sadness
Intensity class: | 0: no sadness 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: My heads still in Ibiza but my body is sat at me desk at work #depressing
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #firsttweetever sippin #hotchocolate wondering #why I finally gave in <3 haha #hellloooootwitter - ...its because #facebookisforfamily #rage
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: #bcwinechat what's the most common method used to make BC #sparkling #wine?
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: I got so much fan's on here! Y'all and vixx keep me smiling β€β€β€
Emotion: joy
Intensity class: | 3: high 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: Every time I hear @jtkantor's organ kick in on the new @sayswhopodcast, I break into the goofiest smile.
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Wow... One of my dads top favorite throwback rappers just died in a fiery car crash today in Atlanta, so sad so sad π·π·
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Now that I have my ex's number now its time to prank him. #revenge #prank #whatprankIshoulddo seriously what prank I should I do
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: #smile is the #respect we give everyone.
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |