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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: If your nail polish has hardened or is gummy, place the bottle in a pan of boiling water. The polish will be like new.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 100 |
|
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: @975Mornings hey! I resent that .... I have toe thumbs
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 0 | ei_oc | 101 |
|
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: Then he will speak to them in his wrath, and terrify them in his fury, saying 'As for me, I have set my King on Zion, my holy hill.'
Emotion: anger
Intensity class: | 0: no anger can be inferred | 6 | ei_oc | 102 |
|
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: @hateweed I had the worst alarm ringtone and would wake up irrationally pissed everyday until I changed it to something nice lol
Emotion: anger
Intensity class: | 0: no anger can be inferred | 8 | ei_oc | 103 |
|
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: Yeah i might look weak when i forgive, but you know what? I pity more on those who hold the rage, hatred & revenge inside.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 104 |
|
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: @AppleSupport worst customer service. 3days to get a diagnostic appt?! #disappointing #ittakes3minutestorunadiagnostic
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 105 |
|
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: @Broowster That's was one furious Welsh woman.. What the English have to look forward to in the future 😢
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 6 | ei_oc | 106 |
|
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: Odd watching #Antifa extremists going full spectrum to become Fascists\n\n#Violence #Hate #angry #Clueless #YOUTH in mom's #basement come out
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 8 | ei_oc | 107 |
|
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: Williams Lake on evacuation alert as fires rage near the city of 10,000+. Developments from overnight + forecast - 5am @GlobalBCMorning
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 108 |
|
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: @soyoprincess @MisfitPhoenix @beastynewall @Gunderthswain 'Racist'is the fashionable insult - ignore it.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 8 | ei_oc | 109 |
|
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: Remember when Julia thought she was pregnant with Michael's baby and I was so happy about it and then the storyline got dropped. #pissed
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 5 | ei_oc | 110 |
|
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: @BrocatoWanda You can't make this crap up. Therefore my 😐 response.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 2 | ei_oc | 111 |
|
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: See people now selling their #MayMac presss conference tickets at Wembley for £100 now when they were free. Scum cunts!!! 😡
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 3 | ei_oc | 112 |
|
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: @mumsnet_madness I am furious that these passive smokers are huffing all my cig smoke without contributing to the cost of a packet #outrage
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 1 | ei_oc | 113 |
|
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: Honey, you hurt me the way the sun touches my skin today #burning
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 4 | ei_oc | 114 |
|
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: Waddup #bitter
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 9 | ei_oc | 115 |
|
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: Anyone else find it really difficult to stop yourself from making a really petty tweet when ur absolutely raging about something ? 😬
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 7 | ei_oc | 116 |
|
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: seeing sope perform otsukare always makes me happy no matter how much of a bad day I have
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 117 |
|
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: Nothing wrong with #anger it's how you use it!
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 118 |
|
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: Shitty is the worst feeling ever #depressed #anxiety
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 5 | ei_oc | 119 |
|
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: @jaden_lindner If I acquire a deadly scowl like that I'm going to be pretty happy to be old
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 120 |
|
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: The lecturer tonight had such a muppet frown it was great.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 121 |
|
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: @GLOBALINTLrp Not like that.. You said you wanna leave for a while and come back soon. I don't look for you bcs i'm afraid i'll annoy you..
Emotion: anger
Intensity class: | 0: no anger can be inferred | 1 | ei_oc | 122 |
|
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: Reason #1001 why moms would make great elected officials...negotiating a two year olds . #hardwork #worthit #maybeitstheeclipse
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 123 |
|
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: @Jeremy_Hunt Unbelievable #arrogance to think you know better than #StephenHawking .
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 124 |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I'm the wholesome drunk that sends people memes and compliments them at 2am on snap
Emotion: anger
Intensity class: | 0: no anger can be inferred | 4 | ei_oc | 125 |
|
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: @Alex_H_1234 Fuck sake i'm fuming. on the upside at least I can keep loving the bloke and that he didn't sign for Chelsea or Liverpool..
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 126 |
|
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: @mitchellvii @tomtomokie Yea but we won't do anything about it.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 3 | ei_oc | 127 |
|
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: Stay angry.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 7 | ei_oc | 128 |
|
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: @Sailingflyingd @kylegriffin1 This is what happens when blinded by raging hatred
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 6 | ei_oc | 129 |
|
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: Don't frown be meh
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 130 |
|
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: Words may sting. But silence is what breaks the heart.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 4 | ei_oc | 131 |
|
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: @superdupertashy What's with the frown? Cheer up!
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 132 |
|
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: @schuygoo : 'like honestly, partying would probably come #1 either way' \n😂😂 #rage
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 1 | ei_oc | 133 |
|
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: #Merkel has supported all #Israeli #terror initiatives opposing the #Palestinian bid for membership at the #UN.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 9 | ei_oc | 134 |
|
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: Doug Beattie joked on twitter once upon a time about putting Afghan people in 'body bags'. Hard to take this outrage seriously @BBCTalkback
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 1 | ei_oc | 135 |
|
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: Creator, Jack Dorsey: 'The definition [of #Twitter] was 'a short burst of inconsequential information,' and 'chirps from birds'.'
Emotion: anger
Intensity class: | 0: no anger can be inferred | 2 | ei_oc | 136 |
|
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: 'A #nation is a #society #united by #delusions about its #ancestry and by common #hatred of its #neighbors.' #Fact #TeamFollowBack
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 2 | ei_oc | 137 |
|
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: @TheAnchoredMrs I was the sixth grade teacher this year and last year the the fifth grade teacher who got mad when they did 😂
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 138 |
|
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: So broadly as just to include 'information'? Not sure.\n\nRegardless, this is ONE federal offense of many. You can find SOMETHING that sticks.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 2 | ei_oc | 139 |
|
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 think our dreams can motivate us more than our fears can paralyze us.' ~ Chris Hogan #dreams #fears #life
Emotion: anger
Intensity class: | 0: no anger can be inferred | 8 | ei_oc | 140 |
|
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: @DiceMore I guess she got tired of her war on Tony that's been raging for about a year.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 2 | ei_oc | 141 |
|
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: Binge watching #revenge im obsessed 🤓
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 142 |
|
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: no offense to me but wth am i doing. i should be stugying rn.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 2 | ei_oc | 143 |
|
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: Having fun today at Mad museum Stratford upon Avon
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 144 |
|
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: @NeilDocking @LFC No worries, sorry to be pedantic just annoyed me for some reason 😂 rest of it is spot on though
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 145 |
|
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: @SCAC_commish I forgot about that until right now...thanks guys
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 146 |
|
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: Things that rage me: when I hear a man ask a woman if she thinks her skirt/dress is too short\n\n😨😵😠😡😤 #shame #rage #Feminism #feminist
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 147 |
|
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: If I see one more Lakshmi EX enrage, I'm kill someone.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 4 | ei_oc | 148 |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It's so ridiculous that ppl are actually hating on niall and throwing tantrums just cause he isnt going to their city
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 149 |
|
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: all this anger is making me tored and there's literally no reason to stay up for this shitshow
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 5 | ei_oc | 150 |
|
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: Paul is such a fucking bully! Dam leave the poor guy alone. He went on #BB19 to play the game same as you SMDH pathetic #annoyed #worstvet
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 8 | ei_oc | 151 |
|
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: @HSaijou dont worry, haters motivate me so i can annoy them more by making more LOL
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 152 |
|
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: Love u so much but u always get angry at me😔
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 3 | ei_oc | 153 |
|
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: You can only help those who help themselves... #irritated #thisisntmyjob
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 1 | ei_oc | 154 |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I can't afford to be unhappy. I've made it this far and there isn't anything or anyone that's going to take my happiness away.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 155 |
|
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: Another blow for students as the SU have shunned wildcats for fear they will offend Dr. Dre.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 7 | ei_oc | 156 |
|
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: Does anybody mom annoy them just by talking and she probably not even trying to annoy you 😂
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 0 | ei_oc | 157 |
|
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: Happy #AmazonPrimeDay or get rid of crap day!
Emotion: anger
Intensity class: | 0: no anger can be inferred | 6 | ei_oc | 158 |
|
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: @lizbilney Who even knew that the Eu could be vindictive.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 3 | ei_oc | 159 |
|
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: No offense but I was team cap in civil war but I understood some of Tony's reasoning
Emotion: anger
Intensity class: | 0: no anger can be inferred | 1 | ei_oc | 160 |
|
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: #Overheard: 'I don't really like dogs.' I DON'T FEEL SAFE IN THIS PLACE. Clearly a hostile environment! #bigly #covfefe #TrustNoOne
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 9 | ei_oc | 161 |
|
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: @DavidLammy This kind of abuse is UNBELIEVABLE and an absolute disgrace. It makes me sad to see this #dismayed
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 2 | ei_oc | 162 |
|
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: Johnny doesn't seem like the suicidal type #suspicion #tcmparty
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 163 |
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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: Confidence c|mos not from always being right but from not fearing ho be wrong.-Peter ;. Mcintyre
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 164 |
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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: Holding a #grudge is like allowing someone to #live #rent #free in your #head #WednesdayWisdom #MotivationalQuotes
Emotion: anger
Intensity class: | 0: no anger can be inferred | 0 | ei_oc | 165 |
|
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: Black people music always has that awful little tstsststsststss sound it really bothers me.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 7 | ei_oc | 166 |
|
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: i must say, the amount of low-level fighters and gatekeepers running their mouths is ridiculous. #jealousy #ufc #jonjones
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 4 | ei_oc | 167 |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It's taking apart my lawn! GET OFF MY LAWN!
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 6 | ei_oc | 168 |
|
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: @LiamPaulCanning Gotten on the wrong side with Dortmund as well. Watzke not happy with how they handle the situation. #arrogance
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 9 | ei_oc | 169 |
|
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: Thank you, @realDonaldTrump, for using the Afghanistan policy of #44... he was pretty smart! \n\nP.S. Do not look directly at the sun! #bad
Emotion: anger
Intensity class: | 0: no anger can be inferred | 8 | ei_oc | 170 |
|
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: @AlaskaAir as a long time Gold & near Million mile member just had a terrible customer service experience #disappointing
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 4 | ei_oc | 171 |
|
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: @_thatMDgirl good to know 👌🏼 I'm hard to offend when it comes to tmi shit lol
Emotion: anger
Intensity class: | 0: no anger can be inferred | 4 | ei_oc | 172 |
|
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: @Haven check in is a pop up stall next to arcade, 2 staff, no alphabetical organisation and an hour long queue.... #greatstart #crap #bored
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 9 | ei_oc | 173 |
|
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: got but up by a spider
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 174 |
|
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I feel so intimidated talking to chicken now that I know how pretty she is
Emotion: anger
Intensity class: | 0: no anger can be inferred | 6 | ei_oc | 175 |
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: When Austin lets u take a rest day #tears #happy #crying #amazing #bestdayever #kindasad #cantfeelmyarms #actuallydieing
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 176 |
|
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: Sam all she fuckin said was about you meeting her rents on Friday which WAS GOING TO HAPPEN ANYWAY YOU DICK #cbb #cbbfinal #arsehole
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 7 | ei_oc | 177 |
|
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: Summer Sale! BOGO 50% OFF everything in our retail showroom! Valid thru 7/15 mix & match...equal or lesser value #BOGO #ragegrafix
Emotion: anger
Intensity class: | 0: no anger can be inferred | 4 | ei_oc | 178 |
|
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: Uncharted 4 on Crushing is the least fun I've ever ha splaying a video game
Emotion: anger
Intensity class: | 0: no anger can be inferred | 2 | ei_oc | 179 |
|
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: @zion_kuwonu @TheAustinPorter @nickmara y'all don't follow me yet and I'm
Emotion: anger
Intensity class: | 0: no anger can be inferred | 8 | ei_oc | 180 |
|
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: You are MINE, my baby, my headache, my love, my smile, my frown, my wrong, my right, my pain, my happiness, my everything.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 181 |
|
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: @realDonaldTrump believe it! you can start your temper tantrum now/
Emotion: anger
Intensity class: | 0: no anger can be inferred | 6 | ei_oc | 182 |
|
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: Anybody else getting furious about all the ads / articles filled with #WalkingDead & #GoT spoilers? #mad #furious #sad #SpoilerAlert
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 0 | ei_oc | 183 |
|
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: @voguelayout fback ☹
Emotion: anger
Intensity class: | 0: no anger can be inferred | 4 | ei_oc | 184 |
|
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: Request MRI 2 years ago, Neuro only requested last year, I'm still waiting on appointment #mssucks #healthcareFail
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 2 | ei_oc | 185 |
|
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: @SimonCrow @jeremyhagon I've never had someone I've never even met, infuriate me so.
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 6 | ei_oc | 186 |
|
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: @PocketsotFuture @YouTube U envying Blac Chyna money yet wanting donations urself 4 whiteman #gossip #snarl!
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred | 2 | ei_oc | 187 |
|
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 feel like it's taken me like 6 months to understand what net neutrality is but like...fucking capitalists I'm
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 0 | ei_oc | 188 |
|
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: Nicole: we have to go somewhere warm and tropical\nMe: okay where?\nNicole: Oakland\n\nWhy does no one in my life ever look at a map?? #lost
Emotion: anger
Intensity class: | 0: no anger can be inferred | 3 | ei_oc | 189 |
|
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: @wine_mum_ @Bob_Lawblaw Please. Don't insult Goths.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 190 |
|
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: Yo what kind of person just drops gum in the ground when you could throw it into the trees and not get it on my shoe?!?!
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 4 | ei_oc | 191 |
|
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: Oh death, where is your sting?
Emotion: anger
Intensity class: | 0: no anger can be inferred | 5 | ei_oc | 192 |
|
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: Be fuming if Sunderland sign Murphy like. He was crap when we first signed him and he's still crap now
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 3 | ei_oc | 193 |
|
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: Signs of Incipient Faggotry are the arsehole quivering and puckering.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 8 | ei_oc | 194 |
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I am furious. It is nearly 1pm and we still haven't signed another player. #getyourchequebookoutchairman
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred | 3 | ei_oc | 195 |
|
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: Consider the language. She says DJT Jr. Sought, wasn't promised, dirt on HRC. Will inflame the left, may compel the right to lash out.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 9 | ei_oc | 196 |
|
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 just love being married to someone who knows everything. 😒#married #whatever #annoyed
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred | 0 | ei_oc | 197 |
|
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: ain't no sunshine when she's away ♫
Emotion: anger
Intensity class: | 0: no anger can be inferred | 3 | ei_oc | 198 |
|
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: Perez will gladly give Morata to Chelsea for some £60m. It's United he holds a 'fax' grudge with.
Emotion: anger
Intensity class: | 0: no anger can be inferred | 7 | ei_oc | 199 |