Datasets:

Holmeister

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AEB_1_EMOLLM

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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: @cyclingweekly 'shocking' ??? Nah that's not Shocking . Richie Portes crash ...THAT WAS shocking . #tourdefrance2017 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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 don't know what to say. I'm so tired rn. Maybe one more time, and I'll burst out of anger. Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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 irritate me #987\n\nThe ticking sound of my watch \n\n.... Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: its #easy to be #unhappy 😐 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @_antithesis_1 @saikatd Don't insult donkeys Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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'm furious, wondering what happens after the latest 'Yep, sounds pretty treasonous' scandal. At least calling Sens is something we can DO. Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @shelby_Billsfan @buffalobills They kinda hafta be these days. #bleak 😬 Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: shaft abrasions from panties merely shifted to the side\n\n#theoldsideshift #annoyance #humansoflatecapitalism Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. Tweet: My head feels like it's gonna burst 😣 one thing after another all the time 😩 Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: The hotel alarm clock keeps going off at 5 am every morning and idk how to unplug it/turn it off 😤 Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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 fuming I wanted Hamez Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: ..either it could be free like bird or consumed by #rage and #hatered ,in both way you got to breathe until its time.. Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Tuesday night and the wine is coming out. Just got home from work if that explains it. 🤦🏻‍♀️🤦🏻‍♀️🤦🏻‍♀️🤦🏻‍♀️🤦🏻‍♀️ #irritated Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Make her burst into laughter bcs of you. Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @thequippster Okay but like why haven't you told me about this yet? Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: ENTRYLOG: CSEternity- With time on my hands for half an hour, I feel slightly melancholy, for some reason….\n . Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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 got to ride with and witness Amanda Coker break a 77 year old bicycling world record. Awesome athlete! #amandacoker #tdf #relentless Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @jh00die Really?? Because music analyzes your screenshots with my microscope too??? I didn't think so #offended Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @kathryn_dennis keep your head clear an focused. Do not let T intimidate you or use your children to silence you! Hate when a man does that! Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Antonio Conte and Chelsea must be fuming. First Lukaku to UTD and now James Rodriguez to Bayern. Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: #furious as fuck!! Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: A person #hates u for 1 of 3 reasons. They 1) want 2b U; 2) #hate themselves. 3) C U as a #threat. (& don't tell me hate doesn't exist!) Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @altontowers Loves the rich!!! Fuck us 'working class folk' and our kids! #fuming #joke #scandalous #disgusting #altontowers 😡😡 Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: It's not length, it's A #gnawing #sense of #dread. Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Honey, you hurt me the way the sun touches my skin today #Sinatra\n\n#quote #success Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @Fxtiha_ mine is worse, I've had to boil it down to Z 😭 Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: @lcgions truuue ! tbh at first i was mad then i started laughing bc they actually tweet about tony more than stevebucky 😂 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: .@AlistairBurtUK states that DfiD is working hard to ensure Palestine isn't funding terrorism #FCOQs Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Chad and Sarah is honestly me and my ex 10 years ago 😂😂 #CBB #horrifying Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. Tweet: if jk realize what taehyung did can he do that to taehyung as a revenge? i would love to Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @dweise @ImProspering44 @ajprimiano86 McNabb at times started out bad the defense made plays the offense found rhythm Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Vou encher o snap Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Welp.. I hope y'all don't have animosity towards me & find this new one. 🙇🏽‍♀️ Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Once I'll graduate, I hope I'll have the time to start learning Finnish on my own because I've been putting it off for quite too long 😢 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Thousands of pickled dunder-headed anthracites ! #furious Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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'm #angry so I'm going to make you #spend #money on #me.' - @ Me\n#PrimeDay Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: Secret is out, for bday gift taking my lovely @TLaughlin9 @summer1624 to @deadmau5 at @CaesarsWindsor in October #canada #rage Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @AliceOsborne98 I'll second that #arsehole Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Gorkas is angrily unhinged, &lecturing CNN on what?they should cover demanding they go after Hillary Clinton instead of Trump. Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: Cannot express my #hatred for @ATT they even screw me at work! 😠 this is 2nd time they cut our lines #idiots #worthless #needtobefined Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: fuck shit fuck fuck shit #suicideISanoption Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: Nothing fuels my daily anger and hatred like a bus driver who stops at a yellow light Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @ScottlnSC Do you live in Manhattan, broflake? You're fake outrage is at whiny-Millennial level. Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: @TracyMcMillan saw your insta about #anger. \n1) helpful perspectives! 2) thank you 3) I'm not an angry person: how to talk to angry people? Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: .@PayPal why do you always make it so incredibly difficult to do anything or get anything resolved? #customerservice #sucks Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @RuckMeFunning I'd hope she has bigger things to fret over lol Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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 was patient ☝🏾⌛️you was faking 🤦🏽‍♂️🖕🏾I was waiting 🕰stuck around then the money came in 💰💸... Luv is rage 2 gone be hard 😆 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: y'all spend every paycheck on a new pack of drugs to sell or guns y'all just threaten people with... Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @EdelMHennessy @DrBron The people worth knowing never behave like that, so methinks it's a bit of denial and resentment Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: #Vocabulary #1: Crap : extremely poor in quality.\n\nEx3: That movie was terrible. I can't believe I just wasted $10 on such #crap !\n\n#English Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: Am I in labor yet?? 😭😫 #miserable Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @MegZ1498 Before 10am town going clean up. Doh fret. Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @LovinUnited That'll be Madrid throwing a huff over Morata and De Gea. Fuck them Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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 respect facebook and them killing Snapchat. If you can't buy em, beat em #fb Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Don't be discouraged. Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @RightNewsUK Poor dogs! Have to bite that sun of a bitch! 😠 Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @Za1d hota hai terrorism ka majhab hota hai and dat is Islam soldiers of allah killing innocent people around the world #RadicalIslam Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Having a bad day @TescoIrl #nightmare Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @MrAlexLawson ... or have an earpiece that feeds him gruelling questions by an irate news editor :) Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: although I laugh and I act like a clown beneath this mask I am wearing a frown my tears are falling like rain from the sky Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @DPD_UK apparently u left a calling card... @ which address cos it certainly wasn't the address u were supposed to be delivering 2!!! #awful Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: An #angry #person may lose his/her objectivity, empathy, prudence or thoughtfulness and may cause harm to others. Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: Going to be a student nurse for 4 weeks eeeeppp #newexperience #scared #excitedmuch Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Really enjoying candles and incense around the house at the moment - brings a sense of calm 💆🏽 #candles #incense Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @SadieAtkins Should have come with us #boiling #kefalonia #pretty Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @EEMufCPM Stupid cunt is relentless with his bullshit Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: Shakespeare Dictionary: The word 'knotty-pated' means 'block-headed, dull-witted' Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Dirty Den returns, bursting forth from his grave to deliver a horrible vengeance. Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: @Teenique yessss waiting for an epi is for the birds. it sucks. im waiting for walking dead new season😩 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @executivegoth I tried a free Alpha trial to watch #dread and I'm sold. Worth the subscription alone. You all are incredible! Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: #stressed #anxious #nervous #angry then #drinking #smoking #excessiveexorcise #bingeeating #writing #purging #cutting #yoga\n#endthestigma Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @ComeJesusSoon said, “Surely the #bitterness of #death is past.” [2/2] Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. Tweet: Just fell down a @BuzzFeed food quiz hole 😬so now I want all the British food even though it told me I was from London! #outrage Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Happy right now I just beaten the second game of crash bandicoot one more to go now didn't get that mad 😡 at the game lol 😂 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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 actually hate Vision. Coming over from @emiswebsupport is like moving from Man City to QPR. A league below, past it and clouded in chaos. Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Cancelled trains make me so mad because we could've spent more time with Kodak in the morning 😡 #ihatetuesdays #ffffff Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @SamLouise112 A child breathing too heavily in china could infuriate you Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: There's really #NoTime to wait on the approval of someone who lives their life in #bitterness and #negativity #NoThanks #ImGood Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: It's 2017 and there still isn't an app to stop you from drunk texting #rage Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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 feel like I tried to do this one for SB Nation once and my conclusion was 'wait, actually, almost everybody is #mad #online' Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: Watching #insecure ... this bitch cheating on her loyal ass Boyfriend! And she makes breakfast to stay happy 🙄 Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: That maybe she just lost her job in the recession and is trying out a new career path Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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 had a good ass day yesterday, went to sleep happy . man i woke up at 6 nigga & im still happy wth , i'd usually be pissed as hell 😂 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: never had a dull moment with u guys 💕 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. Tweet: the only problem people should have in the morning is burning their tounges on hot coffee (like i just did) Emotion: anger Intensity class:

1: low amount of anger can be inferred

ei_oc

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: Nothing more fun to do at a day like this 😭☔️🌧 #dark #rainy Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @liwei987891 Greetings! #Depression is #anger inward.Secondary feeling.Its hurt needs #healing.Tears taken from inward to outward.Eph4:19 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @Seth_Broughton7 @SquerkYoshi @Mabbupuku @Emerldd @PartyInnaBox @cod_de_la_cod FREE MY MAN FROM KROGER 😤 Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: My boss' have a right grudge against me today🙄 Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @Higher_then_I I seen that live, it was looking like madden being played on rookie out there. Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @YaihraLovesU Oh my lord no I just be letting him hit himself cause he throws himself on the floor and throw tantrums 🤦🏽‍♀️ Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: @virginmedia I was just on the phone are twenty minutes with 3 people, non could help and then it cut out your end. What's going on? #awful Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: @SpnTentation Thank you! My first solo run! #excited #andnervous Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: You can be discouraged by failure or you can learn from it. -- Thomas J. Watson,#motivationalquote,#success Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: Go harder when everyone else has had enough. #relentless #Cleaner Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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'm an Indians fan so, I hate Joe Buck. Im glad he looks old af now. 😂 #bitter #AllStarGame Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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: @villodotexe This is the most fucking cursed FEHeroes unit I've ever had the displeasure of seeing Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc

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: “Tell me, Doctor, are you afraid of #death?'\n'I guess it depends on how you #die.” Emotion: anger Intensity class:

0: no anger can be inferred

ei_oc

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: angry? the austrian in front of you is even angrier Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

ei_oc

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'm still bitter about the fact that I didn't get the Php 10/liter promo. Emotion: anger Intensity class:

3: high amount of anger can be inferred

ei_oc