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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: So grim being up at 6
Emotion: sadness
Intensity class: | 3: high amount of 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: @residentadvisor thanks for getting back to me, exemplary customer service for a loyal customer #jk #awful #residentadvisor #poorservice
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: @donna_bellav @SoniaRayS @gig_aholic He looks especially lovely. Sadly, I do not *removes potentially indignant Mr D from convo*
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡 #fuming
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @JohnGDryden Gud morning sir,,keep smiling!
Emotion: joy
Intensity class: | 3: high amount of joy 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: That house on #GrandDesigns isn't in a forest it's in a wibbly wobbly pine plantation | 0: no sadness can be inferred |
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Evaluate the tweet for the intensity of the emotion sadness. The categories are as follows: 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: #Drunk people annoy me when I'm #sober lol. | #fact #TeamFollowBack #RockTheReTweet | 0: no sadness 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: Bake off on TV and the Match on my phone, what a nightmare I'm so stressed #GBBO #NTFCVMUFC | 2: moderate 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: This room is rather dreary, but we endure what we must.
Emotion: sadness
Intensity class: | 3: high amount of 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: Will be a lively evening at ot that one.
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: @TheNotoriousMMA looking like @MIckeyRourkeFP in his heyday
Emotion: joy
Intensity class: | 1: low amount of joy 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: @ccgdavidson I remember being awestruck looking around thinking, 'You could fit the entire population of our town in here ten times over.' | 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: Absolutely shocking. The decline of Rooney is a little embarrassing really! | 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: @realDonaldTrump: No sense in taking out your wrath on innocent people because you think police shot an innocent man. #MakeAmericaSafeAgain
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: Long day, kind tweets, our melancholy, @DownFrontArtist defeats.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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For the tweet "I'm in awe", 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. | 0: no 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: My interview went well today, I can't wait to find out what happens. #excited #interview #jobinterview | 0: no fear can be inferred |
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Read the tweet "@ATTCares why do I have 2 wait 48 hours to call YOU back to cancel an order I JUST placed after already spending 2 hours on the phone?! #sad" and determine the level of sadness present. Select from these 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. | 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: For a team as big as Bayern and the they like to play football, their pitch is fucking dreadful. Certainly no Emirates pitch anyway.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion fear and the tweet "If you #invest in my new #film I will stop asking you to invest in my new film. #concessions #crime #shortsightedness #celebrities", 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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Given the emotion fear and the tweet "@YahooCare data stolen in 2014 and only now do you tell us .", 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. | 2: moderate amount of fear can be inferred |
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Given the emotion joy and the tweet "A #smile doesn't always mean a person is #happy . Sometimes it simply means they are #strong enough to face their own #problems .", rate the intensity of joy shown. The rating scale is: 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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For the tweet "Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk", assess the intensity of the emotion sadness. Choose one of the following: 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. | 1: low amount of sadness can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Said it before and I'll say it now: America is really fortunate that black people only want equality and not revenge.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Given the emotion joy and the tweet "We have been a better second half team this season. So there's that.", rate the intensity of joy shown. The rating scale is: 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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Given the emotion fear and the tweet "Bout ta get my @dontbreathe on up in here! @WarrenTheaters #nervous #icantholdmybreaththatlong", 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. | 2: moderate amount of 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: @Bungie spent over 2 fucking hours and still can't get that dam SIVA fragment on Fellwinters peak mountain | 3: high amount of anger can be inferred |
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For the tweet "hmm somehow twitter feels really depressing, more like negative today...I think I missed something 😕", assess the intensity of the emotion sadness. Choose one of the following: 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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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: #recession, #economic #gloom? The brightest #stars shine in the darkest nights! Our #html5 #webdesign rocks! #rtblitz #finovate #wlsb | 1: low amount of sadness can be inferred |
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Analyze the tweet "Cops chillin on pine lakes" 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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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: Everybody's worried about stopping #terrorism. Well, there's a really easy way: stop participating in it. - Noam Chomsky
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Given the emotion sadness and the tweet "... Huh. Perhaps... Because we're both so dreary, we get along well?", 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. | 2: moderate amount of sadness 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: @followAdamA looking back on recent tweets seen, this one right here is great #perfect #Speechless #deal | 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: @OutlanderHome if not filming, @TobiasMenzies smile! please. :)
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @ReadingFC @EFLCup - remind them 'Twenty's Plenty' ! | 0: no anger can be inferred |
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For the tweet "First day of fall quarter tomorrow. 😰 #excited #anxious #blargh", 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. | 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: I think Paul is what's bitter, not the pastry | 2: moderate amount of anger can be inferred |
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For the tweet "Finally made my #fury #warrior guide. Let me know your thoughts", 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. | 0: no anger can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Probs spent a grand total of five minutes sober since Sunday evening :) #freshers
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @WuffinArts :c You have my most heartfelt condolences. I'm glad it passed with levity and love in it's heart. | 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: @esraalajmy huff btw ty😔 | 0: no anger can be inferred |
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Given the emotion joy and the tweet "@MrHenvin Thank you, happy birthday to you as well!", 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. | 3: high amount of joy 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: @TheCatHeSay I may be #alwayshungry but I haven't sunk that low yet!! @Thereluctantcat | 0: no sadness 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: @jamiesonhelen @MarianKeyes all three of my agin's on the pout . | 0: no 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: To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #offalonehugots
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Given the emotion sadness and the tweet "@MendipHillsAONB do we think the swallows and swifts have gone? Photo'd 3 nights ago, not seen since. #sad #Autumn", 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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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: @Dak2future decorations are up all over Jersey already
Emotion: anger
Intensity class: | 0: no 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: If I do my homework now I can watch revenge and possibly go out tonight'\n*plays on phone for 2 hours to avoid doing homework
Emotion: anger
Intensity class: | 1: low amount of 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: @LFC What an awful team | 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: @Policy_Exchange A plus point, she won't have to queue for the loos. Any more plus points? Nope, can't think of any #sexism
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "Bare videos online but does anyone get rehabilitated? Does anyone actually get help for their affliction? Or do we jut get twitter videos." and determine the level of sadness present. Select from these 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. | 1: low amount of sadness can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @DeltaAssist Tried 2 get earlier flt 2day @BWI Turnd away bcuz it was 2 late Then agent let other pas on #silvereliteleftbehind #unhappy
Emotion: sadness
Intensity class: | 2: moderate amount of 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: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to.
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: I love my black people..... I really really do. But .... my people really do irritate the living hell outta me all cause I'm different. 😑
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: In other news. My legs hurt. #running #5kin26mins #flatfeet
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: Rooneys fucking untouchable isn't he? Been fucking dreadful again, depay has looked decent(ish)tonight | 1: low 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: UPLIFT: If you're still discouraged it means you're listening to the wrong voices & looking to the wrong source. Look to the LORD!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion sadness and the tweet "@harowe this sad truth!", 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. | 1: low amount of sadness can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @UMA1R_ @bilalmahmooduk @Muslim_Scientst i do not offend your Faith unless 1 persecutes me, treat me like a dog, disrespect me and even so
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: #savemoney and #savelifes @ your #openbar @your #weddingreception. Close it 1-2 hours early, forcing your guests to sober up before driving.
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: @mcdermo11 @rogerc32 u gave Laura so much constructive criticism she blocked u 'Lazy Give Up Now No Hope Retire' same with Heather #bully
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Determine how strongly fear is expressed in the following tweet. Use the scale: 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: Scott Dann injured aka my worst nightmare | 2: moderate amount of fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: No, just tweet pictures of four fictional characters who describe you. One should be an animated character. @sunshinessp411
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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For the tweet "If children live with #ridicule, they learn to feel", 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. | 0: no fear can be inferred |
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For the tweet "All in all a pleasing night down The Lane . . . On to the next round & bring on Liverpool at Anfield! #COYS", classify the intensity of the emotion joy. The possible classifications 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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Analyze the tweet "hate to see y'all frown but I'd rather see him smiling 💕✨" 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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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: How on earth can the projection of all that is good and happy and true in my soul be a poisonous fucking snake? #patronus #adder
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 sadness. The categories are as follows: 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: Hi guys! I now do lessons via Skype! Contact me for more info. #skype #lesson #basslessons #teacher #free lesson #music #groove #rock #blues | 0: no 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: @corruptmelon now im feeling the #worry
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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For the tweet "A Leopard never changes its spots! #lost", assess the intensity of the emotion sadness. Choose one of the following: 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: 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: Kernel panic = sweating, sneezing, hiccuping, snot, tears, crying. Clearly my body has an issue with chilli.
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Given the emotion fear and the tweet "Walk right through them! See way past them, and don't even hesitate running them over.", 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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Read the tweet "@TrueRyuga I tore my MLC playing football in HS. Knees are serious business. Take care of them! Lemme know if you need anything." and determine the level of sadness present. Select from these 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. | 0: no sadness can be inferred |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following 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.
Tweet: @Hank_nsno @RonaldKoeman cheering and clapping I assume | 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: Has September been dull? Get #SuperSeptember from Jumia Food as a new user. Order from The Place, Barcelos or Shawarma & Co for 30% off
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following 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.
Tweet: @JohnDotWhite I remember its heyday, but these ladies range in age from, I'd say, mid-30s to early 70s. | 0: no joy can be inferred |
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For the tweet "@susanbrodigan @lyricconcert Ha yes- the look of despair!", 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. | 1: low amount of sadness can be inferred |
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Analyze the tweet "@omgitsbrittanyy @WittLowry u probably irritate the shit out of him always talking to him. He could probably give 2 shits about u lol 🖕🏻" 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: 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: @bldmovs sadly beautiful photo.
Emotion: sadness
Intensity class: | 0: no 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: @MHChat if we don't understand how to express our emotions to others, may lead to sadness / loneliness & neg impact on long term mh #MHChat
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: the thought of you gets me through my day. the thought of your smile never fails at making me smile 💚
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: Leave it on there, rule,nimber 1 of carpet cleaning!!! #furious #worsethananatomicbomb #accidentlyspillbeeronthecarpet
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Read the tweet "@NancyErvin4 The most ghastly thing is the silence from the #AARP. Trump says he won't touch SS, but his tax plan belies that. Huge cuts." 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. | 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: @DrColJ @drshow #Muslims have been in USA for ages. To think that Muslims commit #terrorism due to #Islam, you gotta be out of your mind.
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: It is not joy that makes us #grateful . It is #gratitude that makes us #joyful .\n - David Rast
Emotion: joy
Intensity class: | 2: moderate 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: @WhoIsThisCaleb you could leap to your feet dramatically, plant one foot on the seat of your chair, and let out that jaunty tune!
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: Your boy' is having a nightmare @VivaLaSergio
Emotion: fear
Intensity class: | 1: low 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: @EmmaHobbs1 I did that! 3 days later my order isn't even in the same postcode as me
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: @City_tv is like the big bully in class ruining everyone's lunch but instead of taking our lunch money they took away family feud | 0: no fear can be inferred |
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Analyze the tweet "Hillary Clinton looked the other way to the Saudi war on women and their terror financing because they bought her off." to classify the intensity of the emotion fear. Your 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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Given the emotion joy and the tweet "We have all been there, and wished we didn't. 25 #hilarious #AutoCorrect Fails", 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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Given the emotion anger and the tweet "@CharlotteBnntt that's the joke. I know it's incense", rate the intensity of anger shown. The rating scale is: 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: 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: @komal_sidhnani true...\nThey r burning with other's pleasure!\nPpl in true love happiness everywhere _😃
Emotion: anger
Intensity class: | 0: no 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: @Ashleyavitia_ don't leave me | 2: moderate amount of sadness can be inferred |
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For the tweet "Watch this amazing live.ly broadcast by @iamjustinburke #lively #musically", classify the intensity of the emotion joy. The possible classifications 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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Read the tweet "@DeltaAssist Tried 2 get earlier flt 2day @BWI Turnd away bcuz it was 2 late Then agent let other pas on #silvereliteleftbehind" and determine the level of sadness present. Select from these 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. | 1: low amount of sadness can be inferred |
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Read the tweet "in love with @BarberCeleste insta!!!... #hilarious" 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. | 3: high amount of joy 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: I truly believe in my heart right now that Satan is rejoicing because we are all against one another | 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: @huwellwell One chosen by the CLP members! MP seats are not for people to dole out to their mates, we elect candidates. #fuming
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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For the tweet "@SageHillfarms @HintonAlisa @hb_heather Hey, Jayme! Were your👂👂 burning cuz I was talking about you?😁 Are you going tomorrow?", 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. | 1: low amount of anger can be inferred |