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Consider the emotion anger and the tweet "Lost Frequencies/Janieck Devy - Reality (Gestort Aber Geil Remix)' is raging at ShoutDRIVE!". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense).
0.562
Your task is to measure the intensity of joy in the tweet: "@TurtleTitan2003 (She laughed a bit. Of course it was! Aria shook her head, calming her mirth so she could listen to Mikey.) No, actually. +". Rate it on a scale from 0 (least intense) to 1 (most intense).
0.438
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. Tweet: Feeling like I've had the worst night of sleep ever - not great before the #London to #Brighton #cycle ride for @DMTFYP 🚴100k #apprehension? This tweet contains emotions:
anger, disgust, fear, pessimism, sadness
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. Tweet: Not sure that men can handle a woman that's got her crap together. #intimidation #independent Emotion: fear Intensity score:
0.396
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: @thatsabingo grim really Emotion: sadness Intensity class:
3: high amount of sadness can be inferred
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. Tweet: @DepressedStride > huff louder Emotion: anger Intensity score:
0.375
For the tweet "Vacation wise, Egypt offers great places, amazing scenery, bright skies and good weather at a very good and affordable price for students." and the emotion joy, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity.
0.521
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: Asked one thing from our guys tonight and got it! #happy #proud #disappointed - THAT IS FOOTBALL #timetoclimbthetable This tweet contains emotions:
joy, sadness
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: @aidankerrpol I think you should do. Get the fashion police involved. Emotion: fear Intensity class:
0: no fear can be inferred
Given the tweet "To com sede de milk shake" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level.
0.312
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: @Dubai92 try asking for a cheeseburger with only onion & mustard at any #McDonalds #hilarious This tweet contains emotions:
joy, surprise
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. Tweet: Vals always smiling I love it #gbbo This tweet contains emotions:
joy, love, optimism
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. Tweet: @cresbots dw I think cheeks are the most attractive thing in guys too it's terrible tbh This tweet contains emotions:
anger, disgust, fear, sadness
For the tweet "Niggas murking in each other. In murky water, I try to swim.", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion".
anger, disgust, optimism
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred. Tweet: Did u laugh today? Laugh hard? I hope so..we NEED laughter now. #smile #love Intensity class:
3: very positive emotional state can be inferred
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: never #make a decision when you are .. #angry >_< .... and never make a #promis when you are #happy :) :*
2: moderate amount of anger can be inferred
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: Watch this amazing live.ly broadcast by @footballrocks123456 #lively #musically Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. Tweet: This nigga doesn't even look for his real family πŸ™„πŸ˜‚ #sad Emotion: sadness Intensity score:
0.729
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: we never taste happiness in perfection, our most fortunate successes are mixed with sadness. #success #sadness #perfection #fortunate #mixed Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
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: This pretentious dick in Night Gallery just fucking, used a towel to dry off his sink
0: no sadness can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. Tweet: Recommended reading: Prisoners of Hate by Aaron Beck #anger This tweet contains emotions:
anger
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: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
For the tweet "@sundersays made me laugh, that quote. In a sort of rueful way.", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion".
joy
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. Tweet: Just joined #pottermore and was sorted into HUFFLEPUFF 😑😑😑 Emotion: anger Intensity score:
0.438
Given the tweet "Has September been dull? Get #SuperSeptember from Jumia Food as a new user. Order from The Place, Barcelos or Shawarma & Co for 30% off" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level.
0.292
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: @howcaniapply @radioscarboro Much to my delight! Emotion: joy Intensity class:
3: high amount of joy can be inferred
Please determine the intensity of the emotion anger in the tweet "@evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me then!". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity.
0.375
Using the tweet "β™ͺOLD FISH #discourage", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion".
anger, disgust, pessimism, sadness
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: anxiety level- 100 Emotion: fear Intensity class:
3: high amount of fear can be inferred
Consider the emotion joy and the tweet "Use your smile to change the world. Don't let the world change your smile.' #quote #actorslife #smile #love #hardworkpaysoff #fun". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense).
0.562
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: @5SOS I swear I will not go mourn becauseπŸ˜­πŸ˜­πŸ’”πŸ’” Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
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: Long day, kind tweets, our melancholy, @DownFrontArtist defeats.
2: moderate amount of sadness can be inferred
Given the tweet "Look at me. Made it through the day without a meltdown. #anxiety" and the emotion fear, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level.
0.667
Given the emotion joy and the tweet "@__PeterPanda yes bro it's actually breezy", 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.
1: low amount of joy can be inferred
Classify the emotions found in the tweet "If you really care like you state @flyfrontier @FrontierCare then I would seriously address sensitivity training to your employees #awful". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion".
anger, disgust
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. Tweet: @savageimiike one of my favorite songs brother, real talk. This tweet contains emotions:
joy, optimism
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: What if.... the Metro LRT went over the Walterdale?!?! πŸ˜‚ #yeg #levity This tweet contains emotions:
joy, surprise
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). Tweet: I wonder what would happen if I were to tell some people the truth #savage #uhoh #angry Emotion: anger Intensity score:
0.583
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: All hell is breaking loose in Charlotte. #CharlotteProtest #looting Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: @_Briannax33 @TheFunnyVine @MarielaLynn_ @karengutiii_ gotta shake the booty instead though, makes sure it's all good πŸ™‚ This tweet contains emotions:
joy
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. Tweet: @AlohaJonathan @AtlantaFX all I've seen is that clip of the jail scene with the sexuality part which was hilarious Emotion: joy Intensity score:
0.542
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. Tweet: @JoeFahezy I could of told you that one lmfao πŸ˜‚ Then old niggas get wasted and start fucking around This tweet contains emotions:
anger, disgust, joy, trust
Given the emotion joy and the tweet "Had a great time at Skywalkers open gym tonight! Come our every Wednesday from 7-8 in Hillsboro and train with us! #opengym #cheer #tumbling", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
3: high amount of joy can be inferred
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: Learning to trust God can quiet a troubled & restless heart, bring peace to a weary soul, & eliminate the hopelessness that #addiction is! Emotion: sadness Intensity class:
0: no sadness can be inferred
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: @p_dortch7 I make sacrifices to make you happy Emotion: joy Intensity class:
0: no joy can be inferred
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred. Tweet: i'm doing laundry and watching that 70's show with a bunch of strangers. #happy #birthday #to #me Intensity class:
2: moderately positive emotional state can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. Tweet: I had really strange and awful dreams last night. I'd didn't even eat cheese before bed #lovemysleep This tweet contains emotions:
anger, disgust, fear, joy, love, sadness
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: Misery loves company. The church ought to be a place where it finds none.\n-Pastor Kris Theobald #joy This tweet contains emotions:
joy, optimism
Determine which emotions are present in the tweet "@simmy_hanley @Schrise also a". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion".
neutral or no emotion
Analyze the tweet "What the fuck am I supposed to do with no lunch, no dinner, no money and I'm off to work #hangry #day5" and quantify the intensity of the emotion anger. Use a scale from 0 to 1, with 1 representing the highest intensity.
0.729
Using the tweet "@iamsrk what's up w the gender bias? #indignant This fancypants saddler's daughter will opt for the leather jacket, thank you very much.", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion".
anger, pessimism
Classify the emotions found in the tweet "Being forced into a fake hug by someone who didn’t flinch to get litigious with you in the past - #awful πŸ˜–πŸ‘ΊπŸ™…". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion".
anger, disgust, fear
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: @emorottie true sonicsatam was serious and a bit dark. Aosth is like super goofy and Looney toonie to a degree
0: no sadness can be inferred
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive). Tweet: but losing these games are the worst, you end up feeling a mixture of anger and sadness and shame and anxiety and it lasts for days Intensity score:
0.196
Given the tweet: "This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including meπŸ˜‘πŸ˜‘πŸ˜‚" and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity.
0.458
Using the tweet "#Partners are willing to #walk alongside you without being #intimidated by you. #WhoIsIT #Part2 #RelationShift #CLifeMacon", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion".
joy, love, optimism
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. Tweet: @RealPaulWalker R.I.P Paul, furious 8 can't wait Emotion: anger Intensity score:
0.254
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. Tweet: Don't let the behavior of others destroy ur inner peace.' -Dalai Lama @OWNTV #healing #depression #intuition #meditation #book Emotion: fear Intensity score:
0.220
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. Tweet: Omg I actually thought she was going to jump. #bully #SouthPark20 #southpark Emotion: fear Intensity score:
0.729
Given the tweet "@JustinRow10 madden is the reason why controllers are snapped", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion".
disgust
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: And thus begins my 2 week holiday! 😏😏\n#holiday #cheering #ghastinoir #rest Emotion: joy Intensity class:
3: high amount of joy can be inferred
For the tweet "About 7 weeks till I can pick up my camera again. Though I think there is a group cemetery shoot in october I can make! #photography", 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
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: @_JuliaSteiner : YES ! Right ? I mean I wish you hadn't been discouraged to see #MikeandMolly because so many parallels really - Emotion: fear Intensity class:
0: no fear can be inferred
For the tweet "Wish I could convince the rest of my children to go to their fucking preschool and elementary schools with fear of gun violence." and the emotion fear, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity.
0.840
From the tweet "Ill say it again. If I was a Black man Id be afraid to leave my house or have a moving violation.\n\n#TerranceCrutcher #truth #sad", identify which emotions are conveyed. Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust. If no emotions are evident, respond with "neutral or no emotion".
sadness
Examine the tweet "Trust me to lose my wallet and have to call Lifeguard & Swimmers social early as VC @YSJFC" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion".
anger, pessimism, surprise, trust
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. Tweet: @Lowetide there is no room for jokes in hockey! This is a serious business where we made up teams to fill out the tournament! Emotion: anger Intensity score:
0.500
For the tweet ".@SimonNRicketts if you don't know what a patronus is, I don't think we should have to tell you", 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
Using the tweet "Being in the countryside all day was so pleasing", identify any emotions from the list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none apply, answer "neutral or no emotion".
joy
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. Tweet: @ynnsanity Maybe that's why, we're asked to study hard and get a job that we like. That way it wouldn't be that dreadful. Emotion: sadness Intensity score:
0.458
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. Tweet: @msdhoni #dhoni bcoz of is calmness nd match winning finishers nd a proud #miltirian #dad#husband nd wonderful humanbeing nd his #smile This tweet contains emotions:
joy, love
Given the tweet: "@ReadingFC @EFLCup - remind them 'Twenty's Plenty' #revenge!" and the emotion: anger, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity.
0.438
Given the emotion fear and the tweet "@Koishiteruze she was scare not knowing what to do", classify the intensity of the emotion displayed in the tweet. The classification options are: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
2: moderate amount of fear can be inferred
Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. Tweet: @HMiglino @CParks777 @Coco_Wms @bodyfit67 @TruthEqualsFact @politicususa I have never been more anxious of a election in my life‼️
3: high amount of fear can be inferred
Evaluate the sentiment intensity of the tweet "@TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious" based on the tweeter's mood. Give a score between 0 and 1, where 0 represents extremely negative and 1 represents extremely positive.
0.516
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: Positive #psychology research shows salespeople who score in the top 10% for #optimism have 88% > sales than those in top 10% for pessimism.
0: no joy can be inferred
Evaluate the following tweet and classify the emotional state of the author into one of these levels: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. Tweet: @6itmap I can't help but feel melancholic!
-2: moderately negative emotional state can be inferred
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: Ffs dreadful defending Emotion: fear Intensity class:
0: no fear can be inferred
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: @LaneWoolery @FFKazman experience all plays a role in that, it's education and preparedness not fear
0: no fear can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). Tweet: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose. Emotion: anger Intensity score:
0.625
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). Tweet: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem Intensity score:
0.650
Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly sadness is expressed in this tweet: "Im so serious about putting words in my mouth bitch don't add ' the ' to my sentence if I didn't say that shit on bloods".
0.458
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 don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes #outrage Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
For the tweet "@AskLloydsBank #worst exec complaints ever #horrific customer journey", 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
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. Tweet: Having a terrific Tuesday? Crush it today with the Power of 4. Treat your internet like Pizza =D \n#PowerOf4 Emotion: fear Intensity class:
0: no fear can be inferred
Evaluate the tweet for the intensity of the emotion joy. The categories are as follows: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred. Tweet: Dehydrated, exhausted, stressed but still blessed.
0: no joy can be inferred
For the tweet "@daynutrition @sliqnicq @nytimes I don't listen to White Trash talk about blacks. It's insult. Talk about your race living in trailers", 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
Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly anger is expressed in this tweet: "@marcavis @AntisocialJW2 I've always been fiery, but never radical.".
0.438
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. Tweet: @crimsonwulfe it's super sad!! Especially when you are talking to a real person and not a bot! Makes it feel real :( Emotion: sadness Intensity score:
0.750
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: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #offense #lineman
2: moderate amount of anger can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. Tweet: @glacierqxeen \n\n'Whoo, welcome~!' He greeted cheerfully. This tweet contains emotions:
joy, optimism
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: This whole #VanRE + extradition might turn into a Pandora's box. JT has no idea about that murky corrupt guanxi in China; Toad vs Dada ;-) This tweet contains emotions:
disgust
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: Why is it so windy? So glad I didn't ride my bike. #wind Emotion: fear Intensity class:
0: no fear can be inferred
Analyze the tweet "@MannyM83 @DareToReagan oh yeah. I HATE the air raid and I don't like the Oregon/Baylor offense and I'm not a fan of the ole miss one either" and quantify the intensity of the emotion anger. Use a scale from 0 to 1, with 1 representing the highest intensity.
0.468
Classify the emotions found in the tweet "Still waiting to see if my @london2012track will make an appearance next week - two months today it was ordered #badservice". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion".
anger, disgust, joy, sadness
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). Tweet: What we fear doing most is usually what we most need to do.' ~Tim Ferriss #inspiring #inspired #motivation #fear #success #hustle This tweet contains emotions:
fear, joy, optimism
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. Tweet: @delon03 can you at least just walk past her and break out into laughter Emotion: joy Intensity score:
0.417
Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. Tweet: @mgcsartwork I nearly started crying and having a full on panic attack after tatinof bc of the crowds so I feel him
3: high amount of fear can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. Tweet: @LmRyle @tomcolicchio @realDonaldTrump @HillaryClinton @ajjaffe I understand your concerns but look at her foundation contributions This tweet contains emotions:
anger, disgust, surprise
Your task is to measure the intensity of anger in the tweet: "testing #angry". Rate it on a scale from 0 (least intense) to 1 (most intense).
0.667