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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I'm so proud he understands this, he shows love, thought and compassion and it's not done in a clouded way..
Emotion: sadness
Intensity class: | 0: no 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: is it an insult or compliment to be told i look like a really happy duck
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Analyze the tweet "@MSNBC @fox @cnn @realDonaldTrump @HillaryClinton. Using fear to state his views. Not getting the facts before making a serious statement???" to classify the intensity of the emotion sadness. Your options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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For the tweet "Seeing huge or really full backpacks on people fills me with anxiety", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 3: high amount of fear can be inferred |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @pbhushan1 @IndianExpress so in your opinion is this the worst delhi govt? #acrid #bitter #hypocrisy | 3: high 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: @iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times #anxiety
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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For the tweet "@TimesNow indian army crossed loc into pok to bust terror camp on 20th Sept night?", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 2: moderate amount of fear can be inferred |
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For the tweet "Impractical Jokers...practically genius!!! @BQQuinn #good4thesoul #ImpracticalJokers #bingewatching", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 3: high 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: @bt_uk why does tracking show my equipment delivered, when it wasn't? Why is my service suddenly delayed? We've already 3 weeks.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Given the emotion joy and the tweet "A joyous first webiversary/web mitzvah to Smithsonian's @WeiPoints!! @brianwolly @jackie_mansky @bethpylieberman @bilbo @mazeltov", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 2: moderate amount of joy can be inferred |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @CI I don't think Monalisa has respect for anyone but herself! I think she'll ruffle a few feathers. #TheJail | 3: high amount of anger can be inferred |
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Determine how strongly sadness is expressed in the following tweet. Use the scale: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @JoaquinPutoAmo vas a ir al de the amaity affliction? | 0: no 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: Stuck in a infuriate scrum about hegemonists. #scrum #scrum #Stuck
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: i've been rooting for him since the beginning #anxiety #BB18 | 0: no 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: Because it was a perfect illusion, but at least now I know what it was. #angry #ladygaga #iscalming#mysoul
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: You offend me, @Tansorma
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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For the tweet "Why is it always me picking up the pieces :/ #angry", classify the intensity of the emotion anger. The possible classifications are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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Given the emotion joy and the tweet "@SXMUrbanView @karenhunter @CousinSyl you are so wrong for this!needed levity after that recording", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 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: @pxrfectpeach it's got her little pout
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: My prayers are with the family, friends & members of @VCFD as you mourn the loss of Engineer Ryan Osler. #LODD #RIP | 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: Q&A with N. Christie @westernuHistory: fr. @marybethstart: What would Peter and Dardanella think of us knowing? #poorthings #shy
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: .@monsoonuk Ordered before 10pm last night, paid for next day. Didn't bother to fufill order. Now 14 working days for a refund! #shocking
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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For the tweet "When you wake up from a dream laughing at something stupid, and that makes you laugh more", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 3: high amount of joy can be inferred |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @gayla_weeks1 I try not to let my anger seep into reviews, but I resent having my time wasted on books like that. Time is precious. | 3: high amount of anger can be inferred |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @mikeburke91 @AP I guess. It's just heartbreaking the ease with which they can kill an innocent man and get away with it. | 1: low amount of anger can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @RogueCoder250 We are in so much trouble!! I don't think the Rev will see the funny side of our project.
Emotion: fear
Intensity class: | 1: low amount of 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: I'm about to block everyone everywhere posting about the storm. I think everyone is aware of the damn rain and what not so quit. #damn
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Given the emotion anger and the tweet "Pro Tip: Go back to work when your kid reaches 20 mos old. Stay home any longer, and you'll be absolutely miserable with the .", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 1: low 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: And you as well! #sparkling @cherebork @MelissaJoyRD @SarahKoszykRD @eat4performance @rustnutrition @jenhaugen
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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For the tweet "It’s possible changing meds is best not done while under stress. Difficult to tell what part of despair is circumstantial, what is drugs.", classify the intensity of the emotion sadness. The possible classifications are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high 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: @BlizzHeroes I feel horrible dealing with 'players' in HotS. News on what you're doing about it? Getting stuck with uncooperative people!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion sadness and the tweet "Is it just me or is this a very weird time for the world? #change #enlightenment #gloomy #weird #sigh #imaginepeace #imaginelove #unite", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness can be inferred |
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Given the emotion anger and the tweet "Having a baby born too soon is #lifechanging 6 years on and it feels like only yesterday #sad #happy #emotionalrollercoaster", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
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Assess the level of the emotion fear in the tweet provided. Use the following categories: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: Approaching #terrorism from an anti-racism POV is futile, instead promote prejudice towards racism. That way we are all on the battlefield. | 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: Ask yourself every day: \nam I ruled by fear and hatred \nor am I ruled by love and the sacred?
Emotion: fear
Intensity class: | 0: no 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: listening to the Oblivion score, drinking coffee, researching for new sci-fi animated project.
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: Mom you remember when Narley died? You cried like a baby!
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: Candice's pout gets more preposterous by the week. This week it's gone a bit Jack Nicholson's Joker. #GBBO
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: @HunterDean_ [he gives a gleeful squeak and wraps around you] All mine! | 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: @mik61scot @longshankseddie @ROSAZAMBONINI @YouTube I thought it was because she once sunk her teeth into something that's meant 2b sooked
Emotion: sadness
Intensity class: | 1: low 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: Ladies and gentlemen\nAfter the tremendous success of #PanamaLeaks\nNow presenting #BahamasLeaks 😂
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion fear and the tweet "No but that's so cute. Atsu was probably shy about photos before but cherry helped her out uwu", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: #ThisIsUs has messed with my mind & now I'm anticipating the next episode with #apprehension & #delight! #isthereahelplineforthis | 0: no fear can be inferred |
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For the tweet "Goddamn headache. #anger", assess the intensity of the emotion anger. Choose one of the following: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @British_Airways #lost #bag #stillwaiting go home in2days. DM'd you my info and have rung 9times a day. What more can I do? #wheresmybag | 2: moderate 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: @ntfc watched the cobblers loads this season how is gorre a pro footballler terrible
Emotion: fear
Intensity class: | 0: no 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: me: are you guys dating yet #trans #nervous #blowjobs #TFB dating in mack north ohio Bewdley
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Evaluate the tweet for the intensity of the emotion anger. The categories are as follows: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @TrevorHMoore @paget_old In Scotland, the right-wingers are the most rabid anti-nationalists. Socialists are mostly in favour. | 2: moderate 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: Yesterday , on 21 Sept. 2016 , i installed a new stratagem including audacity by rejoicing at Harbour tower,i will tenaciously follow up up.
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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us 😭😭 @__KirstyGA #oldcunt
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: @JohnKerry can be as indignant as he wants but the world knows Obama will do nothing and Putin will just do what he wants #Aleppo #Syria
Emotion: anger
Intensity class: | 2: moderate 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: @kateemick what a nightmare
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: There is something v satisfying about opening an old 'to do'.doc file and being able to check off all the things you have done #smiling
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Read the tweet "doing some testing with my current earth burst team" and determine the level of anger present. Select from these options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no 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: Puzzle investing opening portland feodal population is correlative straight a snorting infuriate: XLzjYhG
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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For the tweet "I am beyond mad that I lost track of a brown spider in my brown carpet. Where did you go? 🕷 will be sneaking up on me", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 3: high amount of fear can be inferred |
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Based on the given tweet, determine the level of anger the author is experiencing. Choose from the following options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: I'll happily be rude to people who personally insult me unprovoked, they deserve it 👍 Just as good people deserve respect | 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: @DumTeeDum don't think Ian knew of Pavel. He knew about Charlie. I bet Rob will cackle with glee when he heard what has happened #thearchers
Emotion: joy
Intensity class: | 0: no 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: @jaimeotero_ how about saying something like 'if you're concerned about privacy use it only in incognito mode'.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "Relive Vegas' heyday with Rat Pack tribute" and determine the level of joy present. Select from these options: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 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: Skiving #Freshers2016 for a me day! #nails #sunbeds and #gym 😉💜👑 #priorities #student #studentnurse #pampered #happy
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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For the tweet "@NRA @HillaryClinton She never said anything about taking away guns but I would now bc of your stupid scare tactics for gun sales.Sickening", assess the intensity of the emotion fear. Choose one of the following: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 1: low amount of fear can be inferred |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: I have to finally tell my therapist about my sexuality ... last frontier ... not sure I can do it in the AM #fear #SingleGirlProblems | 3: high 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: @CNN Wait, didn't she get a case of the ass when Donald Trump called it terrorism BEFORE all the facts were in? I guess it's ok if she does
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion fear and the tweet "BibleMotivate: Are you worrying/worried?\n1Peter 5:7\nThrow all your worry on him, because he cares for you.#faith #leadership #worry #mindfu…", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 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: Donnie trumpeter is a vapid and vacant vile viper slithering through the landscape and playing on the gears of the fearful and afraid.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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For the tweet "@gypsydragoness chuckle. 'Any idea girl?' The dragoness let out a frustrated growl, blowing smoke out of her nostrils. The old man nodded +", assess the intensity of the emotion anger. Choose one of the following: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 1: low amount of anger can be inferred |
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Given the emotion fear and the tweet "Buying an early entry tickets at @EGX means fuck all, expect a complaint email when I get home #shocking service", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 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: Just told me wife there was a chance it would be 2 Sydney teams in AFL grand final. Her response: 'there's two SYDNEY AFL teams?' #serious
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @TheeCurrentYear @Sargon_of_Akkad this is too much hilarity for one day
Emotion: joy
Intensity class: | 2: moderate amount of 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: My @timehop literally cracks me up when I see posts from 2 years ago and later 😂 #hilarious
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: @YahooCare data stolen in 2014 and only now do you tell us #shocking.
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: 😑😑😑<---- that moment you finish a Netflix series and have nothing else to watch. #depression
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: Dont dull #Dutty_Wednesday | 0: no sadness can be inferred |
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For the tweet "but throughout that entire thing I was shaking rlly bad and my heart was racing and I was almost in tears lmao (thanks mr.*****)", classify the intensity of the emotion fear. The possible classifications are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 3: high amount of fear can be inferred |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: How sad is it that I'm rejoicing over a 72💀 #collegekills | 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: I've got some new pens to break in. Name an animated series and I'll draw you in that style 🖍
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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Assess the level of the emotion anger in the tweet provided. Use the following categories: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: Actually be arsed with my sister sometimes, she controls the TV 90% of the time and when I watch one thing she gets in a huff 🙄 | 2: moderate 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: Anyyyyone wanna go to fright fest with me on Friday night? 👻
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: Loving #Pitch so far !! 🤗🤗🤗 @PITCHonFOX @Global_TV #chills
Emotion: joy
Intensity class: | 3: high amount of 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: @KennyCoble @Rosie these horrific situations will only get worse if trump is elected. vote Hillary.
Emotion: fear
Intensity class: | 2: moderate amount of 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: @_miasienna ITS ALREADY FUCKING 1 ... Ok well I love having panic attacks in the afternoon
Emotion: fear
Intensity class: | 3: high amount of fear 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: I see I'll be hovering over the block button today with much glee.
Emotion: joy
Intensity class: | 1: low 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: @DsWorld18 did you hear it? Cause I am getting messages about the ground shaking
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: #GBBO can cheer me up ☺️ | 1: low amount of joy can be inferred |
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Analyze the tweet "As the birds chirp and the cows moo we need to listen to the sound of nature to ensure that all is well." to classify the intensity of the emotion joy. Your options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 1: low amount of joy can be inferred |
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Given the emotion sadness and the tweet "What's a Kali's kitten? [She asked, a frown curling on her fair skinned forehead as he showed her the scar] A cat did - (@ScarredTiger)", rate the intensity of sadness shown. The rating scale is: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no 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: Am I the only one with parking sensors who still manages to reverse into things?
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: @captainzee44 yup. He can celebrate and no he doesn't hesitate
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @jamiesmart Huh! It's always my fault isn't it >:( #huff #sulk | 3: high amount of sadness can be inferred |
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Given the emotion fear and the tweet "@JoeFahezy I could of told you that one lmfao 😂 Then old niggas get wasted and start fucking around", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Analyze the tweet "@Gielnorian @HedonismGaming cmode grimrail made me want to eat angry bees" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high 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: It's not that the man did not know how to juggle, he just didn't have the balls to do it. \n#funny #pun #punny #lol #hilarious
Emotion: joy
Intensity class: | 1: low 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: I meet new people and I had to grow up with the reality that people can be desgusting and fake and so I lost my cheerfulness and started to
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: On the drive home today I heard a censored version of Spirits by The Strumbellas. 'Guns' replaced with 'dreams'. Just NO. #censorship
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: @liamch88 yeah! :) playing well #optimism
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Given the emotion sadness and the tweet "@jwonder81 @MacadamionNut well of course.Progress for the sake of progress must be discouraged. The problem is the substance of the rhetoric", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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Read the tweet "Late night #thoughts. Feeling ." and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Determine how strongly anger is expressed in the following tweet. Use the scale: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: Note to self ~ Stop laughing at things that offend you, it's ok to get mad at people \n#NoteToSelf #offended #mad #upset | 2: moderate amount of anger can be inferred |