Holmeister/AAID-clone · Datasets at Hugging Face

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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: Happiness is always there. You just have to choose to see it. There's no point dwelling in the dark and ignoring the light of the stars. Emotion: sadness Intensity class:	0: no sadness can be inferred
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: @airvistara as always it was indeed a wonderful experience flying with you guys today #bestinbusiness #delight #happyme This tweet contains emotions:	joy, optimism, surprise, trust
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: The Pats are awesome. Belichick is awesome ...they just are. #awestruck Emotion: fear Intensity score:	0.062
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: Because it was a perfect illusion, but at least now I know what it was. #angry #ladygaga #iscalming#mysoul Emotion: anger Intensity score:	0.556
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: Greatest sign of trust is me giving you my laptop or phone without hesitation Emotion: fear Intensity class:	0: no fear 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 sulk too much for my own good. This tweet contains emotions:	anger, joy, pessimism, sadness
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: #ilofitt is #laughter #happiness #spiritual #mental #physical #pizza. Just kidding about the pizza. Work hard in all facets for a fitlife! Emotion: joy Intensity score:	0.729
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: @lydss_xx @tharealversace @fatbellybella fuckin luv incense, this is me as fuck 😂 This tweet contains emotions:	anger, joy
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: @kayleighmcenany @DonaldJTrumpJr Is that really all you can offer for those who sacrifice daily to keep you safe...? @kayleighmcenany #sad This tweet contains emotions:	disgust, pessimism, sadness
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: Transform your hardship(s) into a burning #desire to succeed. Never #fear #failure, without it there would be no #success. $SPX #FinTech Emotion: fear Intensity class:	0: no fear can be inferred
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: The current run of superman continues to be a delight! You can feel the love poured into it by everone on the creative team #superman Emotion: joy Intensity score:	0.654
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: a good shorty has so much to offer & it's sad that some of you niggas don't even see it when she right in front of your face and too late This tweet contains emotions:	anger, sadness
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: @AmericanAir I am irate at you check-in system. I have tried to checkin all day and it wouldn't let me do it because I had no seat assigned Emotion: anger Intensity class:	3: high amount of anger 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: @JuliaHB1 Bloody right #fume This tweet contains emotions:	anger, disgust
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @Simon_Barrett I will watch @BlairWitchMovie when it opens in Mexico in a week. Thank you for making it and don't be discouraged. Emotion: sadness Intensity score:	0.271
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: a vote for #killary is like sticking a knife in a toaster #MakeAmericaGreatAgain Emotion: fear Intensity class:	0: no fear can be inferred
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: #twd comes on soon Emotion: joy Intensity score:	0.333
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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: @AliceGoodman17 i dunno, I'm getting less of the spacious lovely autumnal melancholy from our present apocalypse Intensity class:	0: neutral or mixed emotional state can be inferred
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: @crimpoop my adorable and cheerful daughter\nAlways pouring positivity green goo on me\ndare hurt her and you'll see hell //growls\n\n#PandaBot Intensity class:	1: slightly positive emotional state can be inferred
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: @NativeApprops @SBShear @HuffingtonPost Shew. That was #awful Emotion: fear Intensity score:	0.542
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: i bet dat dog eating name brand cheerios. cant relate. i eat cheery O's This tweet contains emotions:
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 told my therapist that I'm on the dance team and now she's unhappy with me. Emotion: sadness Intensity class:	1: low amount of 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: Synth backing tracks = sadness\n#depresspop #dark #+++ #alt #fuckingmeup Emotion: sadness Intensity class:	3: high amount of sadness can be inferred
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: A MOMENT:\nIf you kill it in the spirit, it will die in the natural!!!'-@PRINCESSTAYE #murder #suicide #depression #racism #pride Emotion: sadness Intensity score:	0.750
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: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends Emotion: joy Intensity score:	0.708
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: I seriously hope these chances Celtic are missing are going to come back to haunt them with an Alloa sucker punch Emotion: fear Intensity class:	0: no fear can be inferred
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).	Tweet: You don't know what to expect by Brendon's video lmao LA devotee video got me shook Intensity score:	0.683
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: When you arrive at the office the day before your first ever festival and the Internet is down #panic Emotion: fear Intensity class:	2: moderate amount of fear 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: It's basically a dead skin peel which sounds grim. But it literally gets rid of so much dead skin from your pores. Emotion: sadness Intensity class:	0: no sadness can be inferred
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: @kagehime3 I'm so starved for content I'd take it but I'd def pout about it (՟ິͫઘ ՟ິͫ) Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.	Tweet: Everything is far away because time is short, no rest for the weary. This tweet contains emotions:	pessimism, sadness
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: Shame on you @SkyNews showing an elephant being hunted and killed, #shocking Emotion: fear Intensity class:	2: moderate amount of fear can be inferred
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: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #unhappy #scam Emotion: sadness Intensity class:	3: high amount of sadness can be inferred
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: @BBCNews 😝 scared of their own horror story they wrote, afraid of the #terror they spread, will #europe start WW3 in 2017 anniversary of WW1 Emotion: fear Intensity score:	0.708
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: @AlZeidenfeld @DavisMattek @FI_GPP_Quotes @LoughyFI @FantasyInsiders terrible handle, but I owe whoever runs it a lot. #GPPHallMonitor Emotion: fear Intensity score:	0.406
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: That was nearly aesthetically pleasing enough lol I need to do this on PS and not my phone This tweet contains emotions:	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: Am a very old person I can't handle some stuff....lol I just left her there.... Get back to me when you're sober Emotion: sadness Intensity score:	0.455
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: Not untill today has anyone ever said to me they remember what I had on over 7 years ago when they met me n liked me since #cutealert Emotion: joy Intensity score:	0.521
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: So about 18mths ago i signed up to @Lumo_Energy for their @VirginAustralia / Velocity FF deal. 18 months in still no FF points #shocking Emotion: fear Intensity class:	0: no fear 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: 3. You are so cool I feel slightly intimidated sometimes but YOU ARE A VERY NICE PERSON and I LIKE THE THINGS YOU DO. 💕 Emotion: fear Intensity class:	0: no 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: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan. This tweet contains emotions:	joy, optimism
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: I get embarrassed at the slightest things and then I'll fret about it all day I hate it This tweet contains emotions:	anger, disgust, sadness
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: @TheSGJournal Step 1: Get rid of @LittleStokePark Step 2: Prioritise football Step 3: profit? #depressing Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
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: @Cigna bows out for the moment. Rather than sulk, I'm going to @UCSF for an opinion from the guys studying #Oligodendroglioma. ✌️& ❤️ & 🍩's Emotion: sadness Intensity score:	0.312
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: @ManUtd Rooney needs to come off! Absolutely dreadful! 🙈🙈🙈 class goal from @carras16 @carras16 showing why he should be in the team!! Emotion: fear Intensity score:	0.479
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: @DaniQays @AJENews ohh.. so here comes sense from terror supporting stone pelting vandalizing ppl who gather b4 protests to announce ... Emotion: fear Intensity score:	0.646
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: @gurrie_j thanks for making me super sad about Pizza. #freepizza Emotion: sadness Intensity score:	0.521
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: can't believe Mint fest is two days away and i hate my outfit 😩😩🙈 #nightmare Emotion: fear Intensity class:	0: no fear 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: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications This tweet contains emotions:	fear, sadness
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: she's always so insensitive whenever i grieve idgi Emotion: sadness 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: I didn't find out about this till today due to my bff telling me. I am so disgusted and offended by this. Emotion: anger Intensity class:	3: high amount of anger 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: @BluesfestByron second artist announcement looking good #bluesfest2017 #Music #byronbay Emotion: sadness Intensity class:	0: no sadness can be inferred
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: @ClaireBlair27 See, that's how you and Michelle are so cheery! This tweet contains emotions:	joy, optimism
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: Nawaz Sharif's UN should start #सत्य_बोध_यात्रा as after all his #UNGA speech has awaken the world about their role in sponsoring Emotion: fear Intensity score:	0.417
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: Accept the challenges, so that you may feel the exhilaration of victory. Emotion: joy Intensity class:	0: no joy 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: Brendan Rodgers looks fuming 😭 Emotion: anger Intensity class:	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: my mom cut my phone off and I'm so furious 🤗 This tweet contains emotions:	anger, disgust
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: Am I watching #BacheloretteAU or Zoolander ? #samvrhys Emotion: joy Intensity score:	0.400
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: Action is the foundational key to all success ~Pablo Picasso #inspiring #quote #action #hustle #start #dosomething #success This tweet contains emotions:	anticipation, optimism, trust
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).	Tweet: @Nick_Offerman I'll be there!! Can't wait for all the #mirth! Intensity score:	0.694
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: It's so breezy I love it 🌬️🍃💛 Emotion: joy Intensity class:	2: moderate amount of joy can be inferred
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: They're like the rape apologists who (inadvertently?) make men sound like rabid, mindless beasts. With friends like these... This tweet contains emotions:	anger, disgust
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: What a shamefull, unequal, dangerous and worrying world we live in nowadays! #terrifying #Charlotte #terrorism #shitworldforourkids Emotion: fear Intensity score:	0.854
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: Evening all. Don't forget it's #RobinHoodHour TONIGHT 🏹\n\n#bizitalk #bizhour #southyorkshire #MansfieldHour #chirp #sheffieldHour #NottsHour Intensity score:	0.534
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: This meth documentary is exhilarating Emotion: joy Intensity class:	0: no joy can be inferred
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: Happy Birthday Roy Buchanan, born on this day in 1939. #roybuchanan #guitar #blues #happybrithday Emotion: sadness Intensity class:	0: no sadness can be inferred
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: I dislike people who get offended by the littlest shit . This tweet contains emotions:	anger, disgust
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍 Emotion: sadness Intensity score:	0.271
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: @StephenKing\n\nStephen King never once spoke out about how the Left crushes #FreeSpeech in publishing world.\n\n#Trump #horror #scifi #ccot #p2 Emotion: fear Intensity class:	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: We worship at Your feet\nWhere wrath and mercy meet\nAnd a guilty world is washed\nBy love's pure stream\n—Graham Kendrick Emotion: anger Intensity score:	0.375
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: Forgiving means operating with God's spirit & God isn't unforgiving & doesn't hold a grudge. So who am I? Exactly. Emotion: anger Intensity score:	0.250
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: Pinky is so funny n jovial, bt she got emotional n just brought me 2 tears. I felt so bad for her #Ishqbaaaz This tweet contains emotions:	joy, optimism, sadness
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive).	Tweet: @INCIndia Oh please! INC talking about looting! I'm not saying #BJP is pure but this is such a #hilarious #irony! @BJP4India is def better! Intensity score:	0.703
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).	Tweet: Will WHU be old bill free by the time the game with Chelsea comes around? 😂 😂 😂\nThat will be lively to say the least\n#AFC Intensity score:	0.806
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: The pine colada starburst nasty. Don't @ me This tweet contains emotions:	anger, disgust
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: My interview went well today, I can't wait to find out what happens. #nervous #excited #interview #jobinterview Emotion: fear Intensity score:	0.688
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: I like cycling because I get to intimidate people with my powerful calves & horrendous tan lines. Emotion: fear Intensity class:	0: no fear can be inferred
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: i have so much hw tonight im offended Intensity class:	-2: moderately negative emotional state can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: My encouragement today is my dog while my head is in a fog. #epicfail #depression #feelingfedup #tired #ihaveheardeverything #wondering This tweet contains emotions:	love, optimism, sadness
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: @mywrldsbl I can be your wolf if you want. Hihi~ #breezy This tweet contains emotions:	joy, love, optimism
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: @smendler (1) Watch out for memes & statements designed to make you feel outrage, but that don't give you anything to do about situation Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
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: The Zika #Hoax Files: DEET is part of a binary chemical weapon targeting your brain: #Toxin #neurological #USCitizens #Insect #mammal Emotion: fear Intensity class:	0: no fear can be inferred
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: You can make excuses or you can make time. You can't make both. #time #regret #anxiety #LifeCoach This tweet contains emotions:	anticipation, optimism, sadness
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: @SmileWhileYoDie @KiloSierraC @h0wabouthannah @Drops I'll be okay don't worry This tweet contains emotions:	anticipation, joy, optimism, trust
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: Our soldiers in war zones are held to a higher level of rules of engagement than our police officers. #sad Emotion: sadness Intensity class:	3: high amount of sadness 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: Need good vibes for my doctors appointment tomorrow! Emotion: fear Intensity class:	1: low amount of fear can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.	Tweet: ..... wakes up and says 'have you tried changing her nappy?' 😡👊🏼 !!!! This tweet contains emotions:	anger, disgust, optimism, sadness
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 you think reason will prevail in this election remember that Hitler was elected by what was then a wholly 'reasonable' society. #fear Emotion: fear Intensity class:	2: moderate amount of fear can be inferred
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: you come running back to me saying how much you miss me then cower away when we acc try a friendship 👍🏼 Emotion: fear Intensity class:	0: no fear 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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming This tweet contains emotions:	anger, disgust
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).	Tweet: ramos does what he does best burning haters with his head Intensity score:	0.519
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: PM nawaz sharif adressed in uno produced mirth among kashmires well done pak wel done nawaz .we want demilterization Emotion: joy Intensity score:	0.417
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).	Tweet: @billie21806 @cnnbrk tell that to your bodies cheering on the deaths of black people by cops. their fear is killing us. Intensity score:	0.274
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: It's not that the man did not know how to juggle, he just didn't have the balls to do it. \n#funny #pun #punny #lol #hilarious Emotion: joy Intensity score:	0.519
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: @shimian lol. DK has actually dropped from top of the table, surprisingly Arms Warrior is top of the DPS at the moment #shocking This tweet contains emotions:	anger, surprise
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: I'm so old next Friday. So super old😩💔 I dread birthdays Emotion: fear Intensity score:	0.646
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: @SunandBeachBum 'you people' infuriate me! This tweet contains emotions:	anger, disgust, sadness
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: @KingNicky7 also madden isn't the funniest game to watch and if there isn't much happening it's boring This tweet contains emotions:	anger, disgust, pessimism
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: .@LEAFYSZERKER @markiplier is that an insult? Sounds like a job well done. it's red so it's done the job it was suppose to do #justsaying Emotion: anger Intensity score:	0.521
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @DaddyION you and that awful music can take a walk... right off a cliff. K. 😘 Emotion: fear Intensity score:	0.333

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: Happiness is always there. You just have to choose to see it. There's no point dwelling in the dark and ignoring the light of the stars. Emotion: sadness Intensity class:

0: no sadness can be inferred

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: @airvistara as always it was indeed a wonderful experience flying with you guys today #bestinbusiness #delight #happyme This tweet contains emotions:

joy, optimism, surprise, trust

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: The Pats are awesome. Belichick is awesome ...they just are. #awestruck Emotion: fear Intensity score:

0.062

Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: Because it was a perfect illusion, but at least now I know what it was. #angry #ladygaga #iscalming#mysoul Emotion: anger Intensity score:

0.556

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: Greatest sign of trust is me giving you my laptop or phone without hesitation Emotion: fear Intensity class:

0: no fear 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 sulk too much for my own good. This tweet contains emotions:

anger, joy, pessimism, sadness

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: #ilofitt is #laughter #happiness #spiritual #mental #physical #pizza. Just kidding about the pizza. Work hard in all facets for a fitlife! Emotion: joy Intensity score:

0.729

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: @lydss_xx @tharealversace @fatbellybella fuckin luv incense, this is me as fuck 😂 This tweet contains emotions:

anger, joy

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: @kayleighmcenany @DonaldJTrumpJr Is that really all you can offer for those who sacrifice daily to keep you safe...? @kayleighmcenany #sad This tweet contains emotions:

disgust, pessimism, sadness

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: Transform your hardship(s) into a burning #desire to succeed. Never #fear #failure, without it there would be no #success. $SPX #FinTech Emotion: fear Intensity class:

0: no fear can be inferred

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: The current run of superman continues to be a delight! You can feel the love poured into it by everone on the creative team #superman Emotion: joy Intensity score:

0.654

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: a good shorty has so much to offer & it's sad that some of you niggas don't even see it when she right in front of your face and too late This tweet contains emotions:

anger, sadness

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: @AmericanAir I am irate at you check-in system. I have tried to checkin all day and it wouldn't let me do it because I had no seat assigned Emotion: anger Intensity class:

3: high amount of anger 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: @JuliaHB1 Bloody right #fume This tweet contains emotions:

anger, disgust

Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).

Tweet: @Simon_Barrett I will watch @BlairWitchMovie when it opens in Mexico in a week. Thank you for making it and don't be discouraged. Emotion: sadness Intensity score:

0.271

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: a vote for #killary is like sticking a knife in a toaster #MakeAmericaGreatAgain Emotion: fear Intensity class:

0: no fear can be inferred

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: #twd comes on soon Emotion: joy Intensity score:

0.333

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 mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: @AliceGoodman17 i dunno, I'm getting less of the spacious lovely autumnal melancholy from our present apocalypse Intensity class:

0: neutral or mixed emotional state can be inferred

Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: @crimpoop my adorable and cheerful daughter\nAlways pouring positivity green goo on me\ndare hurt her and you'll see hell //growls\n\n#PandaBot Intensity class:

1: slightly positive emotional state can be inferred

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: @NativeApprops @SBShear @HuffingtonPost Shew. That was #awful Emotion: fear Intensity score:

0.542

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: i bet dat dog eating name brand cheerios. cant relate. i eat cheery O's This tweet contains emotions:

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 told my therapist that I'm on the dance team and now she's unhappy with me. Emotion: sadness Intensity class:

1: low amount of 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: Synth backing tracks = sadness\n#depresspop #dark #+++ #alt #fuckingmeup Emotion: sadness Intensity class:

3: high amount of sadness can be inferred

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: A MOMENT:\nIf you kill it in the spirit, it will die in the natural!!!'-@PRINCESSTAYE #murder #suicide #depression #racism #pride Emotion: sadness Intensity score:

0.750

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: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends Emotion: joy Intensity score:

0.708

Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: I seriously hope these chances Celtic are missing are going to come back to haunt them with an Alloa sucker punch Emotion: fear Intensity class:

0: no fear can be inferred

Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).

Tweet: You don't know what to expect by Brendon's video lmao LA devotee video got me shook Intensity score:

0.683

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: When you arrive at the office the day before your first ever festival and the Internet is down #panic Emotion: fear Intensity class:

2: moderate amount of fear 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: It's basically a dead skin peel which sounds grim. But it literally gets rid of so much dead skin from your pores. Emotion: sadness Intensity class:

0: no sadness can be inferred

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: @kagehime3 I'm so starved for content I'd take it but I'd def pout about it (՟ິͫઘ ՟ິͫ) Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.

Tweet: Everything is far away because time is short, no rest for the weary. This tweet contains emotions:

pessimism, sadness

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: Shame on you @SkyNews showing an elephant being hunted and killed, #shocking Emotion: fear Intensity class:

2: moderate amount of fear can be inferred

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: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #unhappy #scam Emotion: sadness Intensity class:

3: high amount of sadness can be inferred

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: @BBCNews 😝 scared of their own horror story they wrote, afraid of the #terror they spread, will #europe start WW3 in 2017 anniversary of WW1 Emotion: fear Intensity score:

0.708

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: @AlZeidenfeld @DavisMattek @FI_GPP_Quotes @LoughyFI @FantasyInsiders terrible handle, but I owe whoever runs it a lot. #GPPHallMonitor Emotion: fear Intensity score:

0.406

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: That was nearly aesthetically pleasing enough lol I need to do this on PS and not my phone This tweet contains emotions:

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: Am a very old person I can't handle some stuff....lol I just left her there.... Get back to me when you're sober Emotion: sadness Intensity score:

0.455

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: Not untill today has anyone ever said to me they remember what I had on over 7 years ago when they met me n liked me since #cutealert Emotion: joy Intensity score:

0.521

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: So about 18mths ago i signed up to @Lumo_Energy for their @VirginAustralia / Velocity FF deal. 18 months in still no FF points #shocking Emotion: fear Intensity class:

0: no fear 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: 3. You are so cool I feel slightly intimidated sometimes but YOU ARE A VERY NICE PERSON and I LIKE THE THINGS YOU DO. 💕 Emotion: fear Intensity class:

0: no 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: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan. This tweet contains emotions:

joy, optimism

Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).

Tweet: I get embarrassed at the slightest things and then I'll fret about it all day I hate it This tweet contains emotions:

anger, disgust, sadness

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: @TheSGJournal Step 1: Get rid of @LittleStokePark Step 2: Prioritise football Step 3: profit? #depressing Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

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: @Cigna bows out for the moment. Rather than sulk, I'm going to @UCSF for an opinion from the guys studying #Oligodendroglioma. ✌️& ❤️ & 🍩's Emotion: sadness Intensity score:

0.312

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: @ManUtd Rooney needs to come off! Absolutely dreadful! 🙈🙈🙈 class goal from @carras16 @carras16 showing why he should be in the team!! Emotion: fear Intensity score:

0.479

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: @DaniQays @AJENews ohh.. so here comes sense from terror supporting stone pelting vandalizing ppl who gather b4 protests to announce ... Emotion: fear Intensity score:

0.646

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: @gurrie_j thanks for making me super sad about Pizza. #freepizza Emotion: sadness Intensity score:

0.521

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: can't believe Mint fest is two days away and i hate my outfit 😩😩🙈 #nightmare Emotion: fear Intensity class:

0: no fear 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: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications This tweet contains emotions:

fear, sadness

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: she's always so insensitive whenever i grieve idgi Emotion: sadness 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: I didn't find out about this till today due to my bff telling me. I am so disgusted and offended by this. Emotion: anger Intensity class:

3: high amount of anger 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: @BluesfestByron second artist announcement looking good #bluesfest2017 #Music #byronbay Emotion: sadness Intensity class:

0: no sadness can be inferred

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: @ClaireBlair27 See, that's how you and Michelle are so cheery! This tweet contains emotions:

joy, optimism

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: Nawaz Sharif's UN should start #सत्य_बोध_यात्रा as after all his #UNGA speech has awaken the world about their role in sponsoring Emotion: fear Intensity score:

0.417

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: Accept the challenges, so that you may feel the exhilaration of victory. Emotion: joy Intensity class:

0: no joy 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: Brendan Rodgers looks fuming 😭 Emotion: anger Intensity class:

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: my mom cut my phone off and I'm so furious 🤗 This tweet contains emotions:

anger, disgust

Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: Am I watching #BacheloretteAU or Zoolander ? #samvrhys Emotion: joy Intensity score:

0.400

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: Action is the foundational key to all success ~Pablo Picasso #inspiring #quote #action #hustle #start #dosomething #success This tweet contains emotions:

anticipation, optimism, trust

Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).

Tweet: @Nick_Offerman I'll be there!! Can't wait for all the #mirth! Intensity score:

0.694

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: It's so breezy I love it 🌬️🍃💛 Emotion: joy Intensity class:

2: moderate amount of joy can be inferred

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: They're like the rape apologists who (inadvertently?) make men sound like rabid, mindless beasts. With friends like these... This tweet contains emotions:

anger, disgust

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: What a shamefull, unequal, dangerous and worrying world we live in nowadays! #terrifying #Charlotte #terrorism #shitworldforourkids Emotion: fear Intensity score:

0.854

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: Evening all. Don't forget it's #RobinHoodHour TONIGHT 🏹\n\n#bizitalk #bizhour #southyorkshire #MansfieldHour #chirp #sheffieldHour #NottsHour Intensity score:

0.534

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: This meth documentary is exhilarating Emotion: joy Intensity class:

0: no joy can be inferred

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: Happy Birthday Roy Buchanan, born on this day in 1939. #roybuchanan #guitar #blues #happybrithday Emotion: sadness Intensity class:

0: no sadness can be inferred

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: I dislike people who get offended by the littlest shit . This tweet contains emotions:

anger, disgust

Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).

Tweet: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍 Emotion: sadness Intensity score:

0.271

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: @StephenKing\n\nStephen King never once spoke out about how the Left crushes #FreeSpeech in publishing world.\n\n#Trump #horror #scifi #ccot #p2 Emotion: fear Intensity class:

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: We worship at Your feet\nWhere wrath and mercy meet\nAnd a guilty world is washed\nBy love's pure stream\n—Graham Kendrick Emotion: anger Intensity score:

0.375

Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: Forgiving means operating with God's spirit & God isn't unforgiving & doesn't hold a grudge. So who am I? Exactly. Emotion: anger Intensity score:

0.250

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: Pinky is so funny n jovial, bt she got emotional n just brought me 2 tears. I felt so bad for her #Ishqbaaaz This tweet contains emotions:

joy, optimism, sadness

Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive).

Tweet: @INCIndia Oh please! INC talking about looting! I'm not saying #BJP is pure but this is such a #hilarious #irony! @BJP4India is def better! Intensity score:

0.703

Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).

Tweet: Will WHU be old bill free by the time the game with Chelsea comes around? 😂 😂 😂\nThat will be lively to say the least\n#AFC Intensity score:

0.806

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: The pine colada starburst nasty. Don't @ me This tweet contains emotions:

anger, disgust

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: My interview went well today, I can't wait to find out what happens. #nervous #excited #interview #jobinterview Emotion: fear Intensity score:

0.688

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: I like cycling because I get to intimidate people with my powerful calves & horrendous tan lines. Emotion: fear Intensity class:

0: no fear can be inferred

Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: i have so much hw tonight im offended Intensity class:

-2: moderately negative emotional state can be inferred

Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).

Tweet: My encouragement today is my dog while my head is in a fog. #epicfail #depression #feelingfedup #tired #ihaveheardeverything #wondering This tweet contains emotions:

love, optimism, sadness

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: @mywrldsbl I can be your wolf if you want. Hihi~ #breezy This tweet contains emotions:

joy, love, optimism

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: @smendler (1) Watch out for memes & statements designed to make you feel outrage, but that don't give you anything to *do* about situation Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

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: The Zika #Hoax Files: DEET is part of a binary chemical weapon targeting your brain: #Toxin #neurological #USCitizens #Insect #mammal Emotion: fear Intensity class:

0: no fear can be inferred

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: You can make excuses or you can make time. You can't make both. #time #regret #anxiety #LifeCoach This tweet contains emotions:

anticipation, optimism, sadness

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: @SmileWhileYoDie @KiloSierraC @h0wabouthannah @Drops I'll be okay don't worry This tweet contains emotions:

anticipation, joy, optimism, trust

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: Our soldiers in war zones are held to a higher level of rules of engagement than our police officers. #sad Emotion: sadness Intensity class:

3: high amount of sadness 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: Need good vibes for my doctors appointment tomorrow! Emotion: fear Intensity class:

1: low amount of fear can be inferred

Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.

Tweet: ..... wakes up and says 'have you tried changing her nappy?' 😡👊🏼 !!!! This tweet contains emotions:

anger, disgust, optimism, sadness

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 you think reason will prevail in this election remember that Hitler was elected by what was then a wholly 'reasonable' society. #fear Emotion: fear Intensity class:

2: moderate amount of fear can be inferred

Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: you come running back to me saying how much you miss me then cower away when we acc try a friendship 👍🏼 Emotion: fear Intensity class:

0: no fear 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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming This tweet contains emotions:

anger, disgust

Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).

Tweet: ramos does what he does best burning haters with his head Intensity score:

0.519

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: PM nawaz sharif adressed in uno produced mirth among kashmires well done pak wel done nawaz .we want demilterization Emotion: joy Intensity score:

0.417

Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).

Tweet: @billie21806 @cnnbrk tell that to your bodies cheering on the deaths of black people by cops. their fear is killing us. Intensity score:

0.274

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: It's not that the man did not know how to juggle, he just didn't have the balls to do it. \n#funny #pun #punny #lol #hilarious Emotion: joy Intensity score:

0.519

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: @shimian lol. DK has actually dropped from top of the table, surprisingly Arms Warrior is top of the DPS at the moment #shocking This tweet contains emotions:

anger, surprise

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: I'm so old next Friday. So super old😩💔 I dread birthdays Emotion: fear Intensity score:

0.646

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: @SunandBeachBum 'you people' infuriate me! This tweet contains emotions:

anger, disgust, sadness

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: @KingNicky7 also madden isn't the funniest game to watch and if there isn't much happening it's boring This tweet contains emotions:

anger, disgust, pessimism

Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: .@LEAFYSZERKER @markiplier is that an insult? Sounds like a job well done. it's red so it's done the job it was suppose to do #justsaying Emotion: anger Intensity score:

0.521

Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).

Tweet: @DaddyION you and that awful music can take a walk... right off a cliff. K. 😘 Emotion: fear Intensity score:

0.333