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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: @alyssaxbeauty nightmare before Christmas
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Playing at September 21, 2016 at 09:30PM: Demetria Taylor #blues
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Cool to see when smart #CowboysTwitter folks chirp the same stuff you did during your review. This is why I joined.
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Groupon_UK who do I contact about a shocking experience with Clear Sky Holidays booked through you guys?? #customerservicefail #dreadful
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: I always dread Wednesday's and the always end up making me the happiest
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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For the tweet "I really wanna go to fright fest 😩", 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 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: @MoneyJay901 hard to tell in your pic. My mistake then. Either way, nothing I said initially was about race. U took it there. #ignorant | 0: no sadness can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do #dread
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Feeling worthless as always #depression
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #ContentwiththeLordsPortion:O satisfy us early with thy #mercy;that we may #rejoice & be glad all our days.#Ps 90:14 #gladness #joy #delight
Emotion: joy
Intensity class: | 3: high amount of joy 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 ending of how I met your mother is dreadful
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My future must be bright af.
Emotion: joy
Intensity class: | 1: low amount of joy 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: Most Americans think the media is nothing but Government propaganda BS. #lies #control #BS #RiggedSystem #distrust #garbage #oreillyfactor
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Bill Clinton: 'Do not grow weary of doing good.' @ClintonGlobal #CGI2016
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @AdamRichards_10 I done a mix of win and -1 and scores are 2-0 2-0 3-0 4-0 4-0 and then moyes was 1-0 down was fuming. Would of been easy
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 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: Keep #smiling because life is a beautiful thing and there's so much to #smile about. #MarilynMonroe #KeepSmiling | 2: moderate amount of joy can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: The irony and hilarity of making Taylor Lautner super cold all the time is not lost on me. God I missed this show 😂#ScreamQueens
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Given the emotion sadness and the tweet "@crimsonwulfe it's super sad!! Especially when you are talking to a real person and not a bot! Makes it feel real :(", 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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For the tweet "If I had a little bit of extra money I would blow the whole paycheck and go to one of the two of @KygoMusic's concerts in LA. #serious", 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. | 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: @icapturpix @DRUDGE_REPORT I agree. This current, ultra-left Democratic party lost a lot of members, including myself. I switched to Repub.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch. #anxiety
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Analyze the tweet "@eleanor_binks at least Blake lively and Ryan Reynolds are still together, God bless what a beaut couple" to classify the intensity of the emotion joy. Your options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 1: low amount of joy can be inferred |
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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: straight people are canoodling on the quad and I'm #offended
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Pre-game nerves have settled in 😱 i'l be #cheering from home guys 🔴⚪️🙌🏻🏉 #AFLCatsSwans #ProudlySydney #goswans @sydneyswans @SwansSupport
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: And it's hard to dance with a devil on your back\nSo shake him off.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @bobcesca_go @sesmithesq \nDidn't Florida 2000 teach you anything? I live here in Palm Beach County and lived through that nightmare.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @Mc_Cabe_Conor This is it. The complete illiteracy around the role, nature and extent of British agents is shocking.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: @colmjoconnor well it was after my heyday too I'm afraid, I was expecting 1st baby I reckon. Now aged 15 *gulps* I'm so old :-) | 0: no joy 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: @lefluerr Lol yeah I read that but I stayed up and didn't nap tillI collect 3 people who I think they've got me 😂😂!!
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Condolences to the JC and the Georges family..
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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming
Emotion: anger
Intensity class: | 3: high amount of anger 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: ordered my vacation bathing suits. one less thing to fret about. | 0: no anger can be inferred |
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Analyze the tweet "@_Hallospaceboy_ @DailyGrindhouse I respect when someone can give a second chance to a movie they aren't a fan of. Why #horror is diverse." 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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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: @ATTCares this really sucks how much your customer service sucks. I've been hung up on three times and this is absolutely horrible.
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: @BaileyDemented @hsmitty3 ill kill u if u bully her 😤😤😤 | 1: low amount of fear can be inferred |
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Analyze the tweet "@cburt43 turn that frown upside down" 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. | 0: no anger 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: 13 hour @bus rides make me #angry #sorry | 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: Your twitter picture just makes me fume.
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: Im really constipated. This is depressing
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Read the tweet "I can't have a dog in my flat! Literally no reason either! Sorry potential doggie! #landlords #doglover #sad #angry #rescuedog #dog ;_;" and determine the level of anger present. Select from these options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: This fuck you is boiling up inside, its not gonna be good when I let it out.
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 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: @CBSBigBrother never bring back Meech and Bridgette. Crying because someone looks at you? Ugh, and Bridgette. | 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: ah #lost #mah #train of thunk.
Emotion: sadness
Intensity class: | 0: no sadness 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: Damn gud #premiere #LethalWeapon...#funny and | 0: no sadness can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Okay. Brace yourself. I will attempt my first loaf of bread in the morning. I will use a dutch oven. I will make the dough now.
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: I'm Black, 43. I read books, p/u my kids from school....'My prayer is that u wl lv a long, fulfilling, joyous, peaceful, GOD-pleasing life!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Given the emotion fear and the tweet "I shower to lay in bed for about an hour then dread wearing pants for the remainder of the day", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Proud of you for overcoming your fear of deep water @ShawnMendes
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion sadness and the tweet "@marielleblaine8 @princesskeilani I told pine I didn't want it so I didn't have to have it", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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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 love the word fret so much and im in heaven
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Analyze the tweet "Only Geo is capable of cheering me up❤️❤️❤️" to classify the intensity of the emotion joy. Your options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 2: moderate amount of joy can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @brendancoots where's your outrage that your party nominated a lying, corrupt person? And received donations from nations who support terror
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I hate freaking out and ruining things.
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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Given the emotion fear and the tweet "If children live with #ridicule, they learn to feel #shy", rate the intensity of fear shown. The rating scale is: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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Task: 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: @addy_caylen I told her I wasn't fighting her Bc I'm not trashy and she keeps tryna threaten me lmfao
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: How had Matty Dawson not scored there!!!!! #terrible
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: I know few will mourn the loss of Stitch's Great Escape, but...see, THIS is the kind of cost-cutting at parks I really don't care for. | 2: moderate amount of sadness can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. #smiling
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Given the emotion anger and the tweet "@WellerMonica Hi Monica, I write regularly for @ctysmallholding - but not on bees - never dared try them #buzz #HONEY", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
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Read the tweet "i love the word fret so much and im in heaven" 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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For the tweet "@AniahROSE I know smh. My heart sunk into my stomach.", classify the intensity of the emotion sadness. The possible classifications are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness can be inferred |
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Task: 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: Angry shouting match between a #pessimist & an #optimist:\n'You're a half empty-headed @%$!' \n'You're half full of @%$!'
Emotion: sadness
Intensity class: | 2: moderate 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: Last night I had a dream that today was Christmas. I woke up screaming because I wasn't ready. #nightmare
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Read the tweet "@MrsTaraX @PlateGotAte YES! I am rejoicing" 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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For the tweet ".@RepDelBene: 'Today's proceedings and the entire process is an insult to our constituents.'", 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. | 2: moderate amount of anger can be inferred |
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Given the emotion joy and the tweet "@KillerInASuit - now getting banned but will still lurk in corners and underneath the bed and sofa, much to Eyepatch's delight. Why is she -", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 0: no joy can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: It's unbelievable that security guard acting like a gangster trying 2 threaten me and tell me what to do with my own home. #terrify #annoy 😡
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate.
Emotion: sadness
Intensity class: | 0: no sadness 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: @LisaAsquithtobe @craig8710 @WayneHaselden @june65wigan everyone is against wigan because we are the biggest club #bitter | 2: moderate amount of anger can be inferred |
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For the tweet "So about 18mths ago i signed up to @Lumo_Energy for their @VirginAustralia / Velocity FF deal. 18 months in still no FF points #shocking", 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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Analyze the tweet "@thehill no wonder USA is going to shit with such outrage over a simple analogy." 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. | 2: moderate amount of anger can be inferred |
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For the tweet "@phil500 \nSo sadden \nSpunky a beautiful dog\nA sad story a lovely happy\nAn loved dog \nPlay little one have fun you\nare so loved", 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: 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: When a guy comes on the train that smells like a mixture of a damp dog, old sweat and sewage works!!!! #gross #getoffthetrain #smelly
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion anger and the tweet "I hope my hustle don't offend nobody", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
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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: @Diana_Buds well, did she make you laugh with her panic mania or not??¿
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I was literally shaking getting the EKG done lol 🙄
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: B day next week, catch the sauce and watch the heaviness!
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @reinervshunter you got this #staystrong #smile #yourebeautiful
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Given the emotion anger and the tweet "Okay you've annoyed me, you haven't done a good job there at all. #furious", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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For the tweet "@KingNicky7 also madden isn't the funniest game to watch and if there isn't much happening it's boring", 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. | 0: no anger 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: @UltimateBoxer My heart because you left me for so long again\n\n*slight pout but it turned to a smile*\n\nheheh just kidding, no I'm fine- | 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: Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter #shocking | 1: low amount of fear can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: This is awful
Emotion: fear
Intensity class: | 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: @StrangeFacesLA why doesn't this account follow me #offended
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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For the tweet "@SportsTraderIT Madrid is playing awful and no modric but 90 minutes in Bernabéu stadium are so so long. Viallreal never won there", 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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Given the emotion fear and the tweet "@NaziaMemon01 yeah a terror packed terror supported speech..", 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. | 1: low amount of fear can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @A_RockasThe U.S. has added years to the Syrian conflict by arming the 'rebel' army. You would think that Iraq had sunk in with Kerry.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Me and these burns that I pick up off the pitches don't get on at all like 😢😢
Emotion: anger
Intensity class: | 1: low 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: @tonygoldmark Yeah I won't mourn it but I'm glad I rode it the last time I visited.
Emotion: sadness
Intensity class: | 0: no 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: @washingtondc @NMAAHC That is Noah Ark, it's a terrific design.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Given the emotion fear and the tweet "All I ever wanted was a chance. I'm so psyched to start this new chapter! #newbeginnings #timetoprovemyself #morethanready", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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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: The #secret to all of every industry: just #start doing it...somehow people forget that they never gave you #permission.' - @thomaslennon
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why is it that we rejoice at a birth and grieve at a funeral? It is because we are not the person involved. ― Mark Twain
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Read the tweet "@DSWT I despair at this madness! It's beyond #shocking it's cold blooded murder! How long will #SouthAfrica stand by &watch #WorldRhinoDay" 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. | 2: moderate amount of fear can be inferred |
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Given the emotion joy and the tweet "Lets get this Astros/A's game going already! We're going to need all 5 of you in attendance to cheer the A's to victory!", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 2: moderate amount of joy can be inferred |
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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: FYI y'all can't mourn or celebrate shawty lo cause y'all ain't played his music since 08'
Emotion: sadness
Intensity class: | 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: Anger that you are willing to take out on people & the world in general, & ALL #police, is WORST, most indefensible kind of .
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: My bf drove out of his way after a long day just to spend 15 min holding me to make me feel better. How'd I get so lucky #lucky
Emotion: joy
Intensity class: | 3: high 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: If you think you're good to go already, don't worry about it.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #GetSmartWithARQ is a smart way to start investing and #whiteicenetwork is smart source 2 #start #skilled #manpower #recruitment for ur firm
Emotion: fear
Intensity class: | 0: no fear can be inferred |