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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: On my life I'll never understand why anyone would pay money to see @LifeOfDesiigner
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I'll just have to #eat my way to #sobriety. This'll be a hell of a journey back to #sober
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following options: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: Why would Enrique sub off busquet? | 0: no 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: How long will they mourn me?
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: follow my girl tiff she only got 3 followers💖💘💖💘💘 @00tiffanyr
Emotion: anger
Intensity class: | 0: no 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: @jessebwatters lol. Love it when you aggravate Juan. Keep up the good work. Lol | 0: no anger can be inferred |
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Based on the given tweet, determine the level of sadness the author is experiencing. Choose from the following options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: More #checking at #work today\n\n#coffee #drank and now it's #down to some #serious #business \n\n#Thursday bring on #Friday | 0: no 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: @metrotrains why is there no disabled access at pontefract monkhill?
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Analyze the tweet "Thank you disney themed episode for letting me discover how amazing the @BlackishWriters are!" 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. | 3: high 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: if u have time 2 open a snap, u have time 2 respond
Emotion: anger
Intensity class: | 0: no 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: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too | 2: moderate 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: @_haye_ optimism is he'll lose, that's actually a compromise :P
Emotion: joy
Intensity class: | 0: no joy can be inferred |
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Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @diamonde my heart just sunk.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Read the tweet "ffs as if tate thought wind in the willows was a serious play, can't wait to see him play a singing badger 😩😂" 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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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: ICQ is just making me mad!!!😤 #icq
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 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: Fosu Mensah is having a complete nightmare! It's the reason all Northamptons attacks come from the left.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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Given the emotion joy and the tweet "I love seeing happy women, that glow is something real.", rate the intensity of joy shown. The rating scale is: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 3: high amount of joy can be inferred |
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Based on the given tweet, determine the level of anger the author is experiencing. Choose from the following options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @rtrn94 Mine is that the party did decide but the party has been slowly transformed into a vengeful hell-cult of white male resentment | 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: Round 2 #pcola
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: @FoxNews Very thought provoking & leads one to question what really happened.Very sad for all.
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Analyze the tweet "@ManUnitedWriter He has had a dreadful first half, not to mention rashford would've got on the end of a couple of those through balls #pace" 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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For the tweet "@Ms_HeartAttack holy shit it just a bee sting like fuck you're not dying", 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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Read the tweet "Someone set off the fire alarm and I'm so angry because I was in the middle of moisturizing my elbows" and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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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: @_BlueCouture The hilarity of you people not realising that racism is racism regardless of whether one uses choice words is hilarious.
Emotion: joy
Intensity class: | 0: no 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: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! #smiling
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Open to suggestions on a good #horror movie. Just saw 31 and It follows recently, dug both. Gimme something good. #movienight #netflix
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: All clouded out.\n\n Considering using a camera, 1) star trails 2) eyepiece projection.
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Given the emotion anger and the tweet "@LethalWeaponFOX promised I wouldn't live tweet, but @DamonkWayans + @ClayneCrawford brought it! @JordanaBrewster and #furious action FTW!", 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. | 2: moderate amount of anger can be inferred |
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Determine how strongly sadness is expressed in the following tweet. Use the scale: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: My nephews n cousins are nowhere near bad guys, but they could be killed @ any moment by a cop that thought they were bc of their color | 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: Prayers & Protection to our brothers and sisters fighting in #Charlotte #against #machines
Emotion: anger
Intensity class: | 0: no 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: @sreeniv51294598 hahaha dear d not worry discuss
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "Why did Alex just growl at me.. 😂😂😂" and determine the level of anger present. Select from these options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
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Task: 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 just killed a spider so big it sprayed spider guts on me like a horror movie.\n #ugh
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Given the emotion joy and the tweet "@airtelindia have some issues with my broadband bill ,I am charged for the month before I signed up with airtel..", 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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For the tweet "@RonBaker6694 I got a super speeder and lost my license for 6 months! 😩🔫", 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. | 2: moderate amount of sadness can be inferred |
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Analyze the tweet "I Don't know what make #Pakistan fear more their #terrorist or their #TerrorStatePak" 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: 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: Why is it so windy? So glad I didn't ride my bike. #wind
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: Hi Luke hemmings\n\n💐🌸💐\n\nIf I had a flower for every time you made me smile, I'd have a garden. Please follow me? \n\n💐🌸💐\nI love you. x16,092
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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Analyze the tweet "Oh daaaaaaamn @SophiaBush! #getitgirl #girlpower #anger #rawr #ChicagoPD" 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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Analyze the tweet "@Netflix_ME penny dreadful season 3?" 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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Assess the level of the emotion sadness in the tweet provided. Use the following categories: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred.
Tweet: @LacesUntied_ yea lol catchy you fret | 0: no sadness 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: Glad I didn't watch smackdown because I can't see my men @JasonJordanJJ @WWEGable lose. #sohurt #revenge | 2: moderate amount of anger can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: yesterday i finished watching penny dreadful and from all the beautiful things i saw one question remains: were the writers HIM's fans?
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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For the tweet "Finally have all my braces on and I can't stop smiling 😊😊😊😊😊", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 3: high amount of joy can be inferred |
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Task: 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: @Olajide_Shutti lmaoo. It will be a joyful day.
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
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For the tweet "I get so angry at people that don't know that you don't have a stop sign on Francis and you do at Foster #road", assess the intensity of the emotion anger. Choose one of the following: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 3: high amount of anger can be inferred |
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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: What an actual nightmare | 2: moderate amount of fear can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @jay_roseee but that new breezy & tiller 🔥🔥🔥🔥🔥
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 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: @NahteWilly @AFP that was neither intelligent, definitive or useful shall I name call or would you like to expand on how I have offend you ?
Emotion: anger
Intensity class: | 1: low 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: @kcbbcxo don't get discouraged! it's early on & it can get overwhelming. keep reading & use cue cards 😊 it'll get better!!
Emotion: fear
Intensity class: | 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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest #sad
Emotion: sadness
Intensity class: | 3: high amount of 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: Well, this is cheery. #MrRobot
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @FluDino Event started! everyone is getting ready to travel to the lake of rage, where everything glows
Emotion: anger
Intensity class: | 2: moderate 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: God just replaced my sadness with laughter, can't go the whole day sad ...
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: the Bushes were good with the forces of resentment when it made them money and gave them power. Now that it doesn't they've changed tunes.
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Analyze the tweet "@JessicaZ00 @ZRlondon ditto!! Such an amazing atmosphere! #PhilippPlein #cheerleaders #stunt #LondonEvents #cheer" 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. | 3: high amount of joy can be inferred |
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Given the emotion anger and the tweet "@cameronNewton #colinkaepernick protests because of the unjust murder of #keithlamontscott in North Carolina #injustice #outrage #speakout", 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. | 2: moderate 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: Absolutely fuming I've just scratched all my car 😡😡😡😡😡😡
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: The kid at the pool yelling is about to get a foot up his ass. #shutup #parents #kids #horrible
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: I love when people say they aren't racist right before they say some racist shit... Not how that works... #fuming
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why to have vanity sizes?Now sizes S,XS(evenXXS sometimes) are too big, WTF?! Dear corporate jerks, Lithuania didn't need this. #rant
Emotion: anger
Intensity class: | 2: moderate 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: American horror story in bed 👌🏼
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: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic.
Emotion: joy
Intensity class: | 1: low 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: Groom gloom.
Emotion: sadness
Intensity class: | 3: high amount of 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: Think like a queen. A queen is not afraid to fail. Failure is another steppingstone to greatness. Oprah Winfrey
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: @ImNotInfected — rather someone that could help her. Concern clouded her green eyes, not once having seen a girl alone in the woods and —
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
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Based on the given tweet, determine the level of joy the author is experiencing. Choose from the following options: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #smile #offalonehugots | 0: no joy 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: Take heart amid the deepening gloom that your dog is finally getting enough cheese. ― National Lampoon, 'Deteriorada' | 1: low amount of sadness can be inferred |
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Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If you love something, let it go. If it comes back, it is yours. If it doesn't, it never will. #sadness #accepting
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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For the tweet "@alooftroye so what you mean to tell me is that.... glee is...... getting less........... gleeful?", classify the intensity of the emotion joy. The possible classifications are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 0: no 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: Don't think I'll hesitate to run you over. Last time I checked, I still had 'Accident Forgiveness' on my insurance policy...
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: People are #hurt and #angry and it's hard to know what to do with that #anger Remember, at the end of the day, we're all #humans #bekind
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Analyze the tweet "felt a bit shit getting a very high blood sugar then i remembered it's my first one above 15 this week which is incredible for me! #happy" 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: 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: one ep of despair arc made me happy but and then i'm going back to future arc and i'm upset again.
Emotion: fear
Intensity class: | 2: moderate 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: Even at this level, rojo still manages to play god damn awful. #MUFC
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Was going to get a new #horror movie #tattoo tonight, but my artist flaked out on me for the 3rd time & said he was done tattooing!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: i've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be. #apprehensive | 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: In fact, sometimes i don't get furious at people who wrong me, but i get furious at myself for being a fool.
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: If Monday had a face I would punch it #monday #face #punch #fight #joke #like #firstworldproblems #need #coffee #asap #follow
Emotion: fear
Intensity class: | 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: Idk if it's hella hot in here or I'm nervous
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 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: Just paid for chicken at @panerabread and didn't even get any 😑😑😑 there goes 4 dollars and me as a customer
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
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For the tweet "I should have stayed at home.", classify the intensity of the emotion sadness. The possible classifications are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 1: low amount of sadness can be inferred |
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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: ⊰ @FrameOfAnAngel ⊱ \n\n+ Of them. I'm here for answers, and if I scare her to death, there won't be answers for me. \n\nSo instead, I just + | 1: low 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: When @idinamenzel says she's releasing more #IdinaParty tickets and you set an alarm to not miss it... #fingerscrossed #Idina.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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For the tweet "@EducatedNPetty white pricks that were laughing at your use of language won't be crying over your coffin but rejoicing that you're another", assess the intensity of the emotion joy. Choose one of the following: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. | 0: no joy can be inferred |
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For the tweet "Research has determined 70% of #laughter is actually #anxiety.", 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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Determine how strongly anger is expressed in the following tweet. Use the scale: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: So fucking mad my blood boiling. | 3: high amount of anger can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Which #JohnCarpenter #horror #action #flick is your favorite ??
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: What a sad evening - clearing out all of Harvey's cage and belongings. Now so final. Goodbye my little man.... #depressing
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me then!
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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For the tweet "Can't start a good day without a cup of tea! \n\n#tea #start #day #goodday", 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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Evaluate the tweet for the intensity of the emotion fear. The categories are as follows: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: @cazzrhughes its reflective of the current political debate | 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: @ReserveHinata tend to them he's going to get infections. \n\nHe's frowning and looking down as he does this. \nIt must hurt damn.] | 1: low amount of sadness can be inferred |
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Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: LOL! @TheFrankJLopes was just awarded the “F” bomb trophy on #AutoDealerLive, @RealMatKoenig :) #serious
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: r U scared to present in front of the class? severe anxiety... whats That r u sad sometimes?? go get ur depression checked out IMEDIATELY!!!
Emotion: sadness
Intensity class: | 2: moderate amount of 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: @Kruzer You're not stealing my girl, I've solo'd Crota's End flawlessly. Do not try or face the wrath of the machine 😤
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @easyJet Hi folks. Flight is going to be over an hour late departing from INV (EZY864), how do we go about getting a refund please? #boiling
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
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Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #nudes #tits #snapchat
Emotion: anger
Intensity class: | 0: no anger can be inferred |
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Assess the level of the emotion fear in the tweet provided. Use the following categories: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: With only 7 months left until I possess my undergraduate degree, I feel like I can't handle adulthood anymore #anxiety #nojobsinbiology | 3: high amount of fear 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: 75' Tierney reaches a deep cross to the back post and plays it back across but the Alloa defence clear. Celtic relentless here. | 1: low amount of anger can be inferred |