Holmeister/AAID-clone · Datasets at Hugging Face

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Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @Elliot_Eastwick just play rappers delight and have a 15 minute kip Emotion: joy Intensity class:	0: no joy 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: Just told me wife there was a chance it would be 2 Sydney teams in AFL grand final. Her response: 'there's two SYDNEY AFL teams?' #serious This tweet contains emotions:	anticipation, disgust, optimism, surprise
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: S/O to the girl that just hit my car...not only did she get lucky w/ no scratch but also from being spared the wrath of sleep deprived Kait🙃 Emotion: anger Intensity class:	2: moderate amount of anger 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: I seem to alternate between 'sleep-full' and sleepless nights. Tonight is a sleepless one. 😕 #insomnia #notfair Emotion: fear Intensity class:	1: low amount of fear can be inferred
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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #cleverpeople Emotion: joy Intensity class:	3: high amount of joy 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: @aidankerrpol I think you should do. Get the fashion police involved. #shocking Emotion: fear Intensity score:	0.458
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: Omg I'm outside making beats with garageband and some little birds decided to chirp along （≧∇≦） Intensity class:	0: neutral or mixed emotional state 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: My little sister sure can hold a grudge 😂😂😂 Emotion: anger Intensity class:	0: no 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: Shoutout to @VZWSupport for ruining my iPhone 7 order!! #horrible This tweet contains emotions:	anger, disgust, fear, sadness
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: @shawnstockman This would be hilarious, if it weren't so frighteningly on point. It's gone from a few bad apples to a national disgrace. Emotion: joy Intensity class:	0: no joy can be inferred
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: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder This tweet contains emotions:	anger, disgust
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: Hey u never know, Channel 4's version of #GBBO might actually be quite good. A few adverts aren't the end of the world. #optimism Intensity score:	0.641
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: Accept the challenges so that you can feel the exhilaration of victory. #FocusX10 #motivation #motivationalquotes #quoteoftheday This tweet contains emotions:	joy, optimism, trust
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: @FoxNews @SheriffClarke @FoxNewsInsider This man is an affront to our justice system. Emotion: anger Intensity score:	0.688
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: @katlute which one....the one where u threaten violence? Or the phedophiliac u support? Or the constitution violations he proposes? Emotion: fear Intensity class:	2: moderate amount of fear 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: @mywrldsbl I can be your wolf if you want. Hihi~ This tweet contains emotions:	anticipation, joy, optimism
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: @TheZantarin Then maybe we should keep our White mouths shut and let the people being targeted speak and mourn. Emotion: sadness Intensity class:	3: high amount of 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: @corruptmelon now im feeling the #worry This tweet contains emotions:	fear
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: @TzumiXIV huff puff Emotion: anger Intensity class:	2: moderate amount of anger 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: Baaarissshhhhh + sad song = prefect night — feeling alone This tweet contains emotions:	pessimism, sadness
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: @MarianKeyes the pout tips me over the edge. I am most definitely AGIN. Who the feic bakes with full make up and boots with heels!!!! Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
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: @LazyBoiSam blues... blues? 🤔 Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
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: @BrianaBanksxoxo I send ya a few #playful nibbles 😉 Intensity score:	0.679
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: @BlizzHeroes I feel horrible dealing with 'players' in HotS. News on what you're doing about it? Getting stuck with uncooperative people! Emotion: fear Intensity class:	0: no fear 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: Let's get drunk and tell each other things we're afraid to say when we're sober. This tweet contains emotions:	anticipation
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: @kevinrouth Now that's what I call a gameface! #gameface This tweet contains emotions:	anticipation, joy
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: #GBBO is such a homely pure piece of tv gold. Channel 4 will attempt to tart it up. Mary, Sue and Mel gone. It's over. I'm out. 👋 This tweet contains emotions:	anger, 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: ^^^^^\n//Don't worry if your character is already taken. The RP I'm looking for is a non couple forming RP. Just a fun loving haunting.//\n^^^ Emotion: fear Intensity class:	0: no fear 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: When you arrive at the office the day before your first ever festival and the Internet is down #panic This tweet contains emotions:	fear, sadness
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: @keithboykin unfortunately it won't end there... followers of whichever candidate isn't elected will throw tantrums. No winning this elec Emotion: anger Intensity score:	0.521
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: @BonesARP 'That is a disappointment.'\n\nHe fakes a pout, then starts to chuckle. Emotion: sadness Intensity class:	1: low 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: @knology has providing customers w/equipment that doesn't deliver speeds of internet services that they have been charging. #unhappy #scam Emotion: sadness Intensity score:	0.688
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: the ending of how I met your mother is dreadful Emotion: sadness Intensity score:	0.417
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: Okay you've annoyed me, you haven't done a good job there at all. Emotion: anger Intensity class:	3: high amount of anger 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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us 😭😭 @__KirstyGA #oldcunt Emotion: anger Intensity class:	3: high amount of anger 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: @EagleGiles23 @tgilmore_92 what I miss? #outrage Emotion: anger Intensity score:	0.562
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: You don't know what to expect by Brendon's video lmao LA devotee video got me shook This tweet contains emotions:	anticipation, fear, joy, surprise
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: @BrightPigSEO @BrightPigSEO we provide dignified and professional funerals at prices families can afford #satisfied clients #bright pig Emotion: joy Intensity class:	0: no joy 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: I love my black people..... I really really do. But .... my people really do irritate the living hell outta me all cause I'm different. 😑 This tweet contains emotions:	anger, disgust, love
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: @menglishmusic Thank you for the most fantastic evening, it was a brilliant show, you are a truly #sparkling talent, night over too quickly. Emotion: joy Intensity class:	3: high amount of joy 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: Playing at September 21, 2016 at 09:30PM: Demetria Taylor #blues This tweet contains emotions:
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: Another raging storm brought on by my own emotions sorry everyone. enjoy the thunder Emotion: anger Intensity class:	3: high amount of anger can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Just #terrible from the cats there. Wow. #AFLCatsSwans Emotion: fear Intensity class:	0: no fear 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: @OstinOng YUUUHH 🙄😭 plus clin ep and prevmed ugghhh hahaha This tweet contains emotions:	joy
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: •Days!'\nHe was itching for a fight..itching for the exhilaration of battle, of almost getting defeated, the adrenaline pumping•\n@RojinHitto This tweet contains emotions:	anger, anticipation, joy
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: My @timehop literally cracks me up when I see posts from 2 years ago and later 😂 #hilarious Emotion: joy Intensity class:	3: high amount of joy 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: May the optimism of tomorrow be your foundation for today. Emotion: joy Intensity score:	0.540
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: did you know that the sparkling letters in Super Mario Galaxy spell out U R MR GAY Emotion: joy Intensity class:	0: no joy 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: @ankitaverma45 @honey5991 rejoicing over someone's sadness is bad but when #Karma is cencerned then definitely some people deserve it.. This tweet contains emotions:	anger, disgust, 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: @Bridget_Jones was joyous. Worried I would be disappointed. Most definitely was not. #chickflick #giggles #comethefuckonbridget This tweet contains emotions:	joy, love, pessimism
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: When your rewatching glee and break down in tears all over again. 😭😢 Emotion: joy Intensity class:	0: no joy can be inferred
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: Good job #Texas for saying no to #Obama for #refugees who could be #terrorists! #Wakeup, #America! #Stop #terrorism. #pray @foxandfriends Emotion: fear Intensity score:	0.562
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: @dish_answers I've contacted @dish @dish_answers #service #whathappenedtocustomerservice 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: @ashleynwinters I don't like the statement but I love the optimism This tweet contains emotions:	joy, love, optimism
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: @VodafoneUKhelp @VodafoneUK wow!! My bill is £44.77 and hav a text from u to prove that and you have taken £148!!!!! #swines #fuming #con! This tweet contains emotions:	anger, disgust
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 so breezy out today, i can't go to back to school night with bare legs like i've had all day Emotion: joy Intensity class:	0: no joy 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: Love your new show @driverminnie #hilarious Emotion: joy Intensity score:	0.788
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: Where are some great places to listen to blues? #nightlife #NightLifeENT #blues #jazz #gatewayarch #stlouis #washingtonave Emotion: sadness Intensity class:	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: @faye_catherine happy anger sad melancholy confusion #woodspurge Intensity score:	0.234
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: If children live with #ridicule, they learn to feel This tweet contains emotions:	joy, optimism
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 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: @ryleycathryn @Mack_Shepp did you discover the alarming rate at which bees are dying and how important they are to our way of life? Intensity class:	-2: moderately negative emotional state 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: @SilkInSide @TommyJoeRatliff that's so pretty! I love the sky in the background and the purple highlights with the dull colors is great Emotion: sadness Intensity class:	0: no sadness can be inferred
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: @MS_Hiddle_Batch no the flavour of Danish is far better but Danish pastry can be daunting to make! Emotion: fear Intensity score:	0.396
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: Love how cheerful that woman is about storing someone else's furniture for an eternity. I'd have sold it by now. #GrandDesigns Emotion: joy Intensity score:	0.360
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).	Tweet: Like hello? I am your first born you must always laugh at my jokes. Intensity score:	0.500
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: today has been terrible but tonight will end better because I get to see Malik ❤️ This tweet contains emotions:	anticipation, disgust, joy, love, optimism
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: never afraid to start over Emotion: fear Intensity score:	0.304
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: Class is canceled due to a funeral. Not sure if it's appropriate to be happy or sad.. #happy Intensity class:	0: neutral or mixed emotional state 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: @Wild_Lucario_ chuckles did I scare you? This tweet contains emotions:	fear, surprise
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: BANG! Gordon #Brown has been accused of abusing a gazillion #rabid parrots! Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 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: @r0Ils ppl get triggered over u smiling they're irrelevant Intensity class:	-2: moderately negative emotional state can be inferred
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny Intensity class:	2: moderately positive emotional state can be inferred
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: It breaks my heart seeing people down or upset.. I will try my best to make them smile or cheer them up 🤗 This tweet contains emotions:	optimism, sadness
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: .@Travelanswerman: B assured there is plenty of salt 2 keep that #fire #burning brightly! Stay #happy N life by keeping plenty #salty… … Emotion: anger Intensity score:	0.375
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: Michelle is one of the worst players in bb history #bb18 #bbfinale Emotion: anger Intensity score:	0.542
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: @melsey6 oh good girl hope she is cheerful Emotion: joy Intensity class:	1: low amount of joy 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: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate. This tweet contains emotions:	anticipation, 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: @TurtleTitan2003 (She laughed a bit. Of course it was! Aria shook her head, calming her mirth so she could listen to Mikey.) No, actually. + This tweet contains emotions:	joy, optimism
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: @Bickley_Marotta yea because forcing 5 turnovers and holding a pretty good offense to 7 points is concerning.....oh wait. NO!! Emotion: anger Intensity score:	0.375
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: Bitches aggravate like what inspires you to be the biggest cunt known to man kind? Emotion: anger Intensity score:	0.854
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: “My friend do you fly away now? To a world that abhors you and I? All that awaits you is a somber morrow No matter where the winds may blow” Emotion: sadness Intensity score:	0.544
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: As I lost my heart to you there in the dark.. Underneath the stars 🎧 This tweet contains emotions:	joy, love, optimism
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: I miss my gran singing Rawhide, in her deep baritone growl. Emotion: anger Intensity score:	0.292
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: @chrislhayes It's hard for most folks to realize how deep the hatred is until you dive into the murky end of the pool. This guy is nuts. Emotion: sadness Intensity class:	2: moderate 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: @SusanHensThe shameful display I watched today has left me reeling with so much anger dt I feel like exploding, those clowns should watch it Emotion: anger Intensity class:	3: high amount of anger 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: Watch this amazing live.ly broadcast by @evanhufferd #musically Emotion: joy Intensity class:	1: low amount of 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 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: @Cherie_Fitz it's being extremely playful Intensity class:	1: slightly positive emotional state 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: From My head to think it was better but obviously it's not #relapse #sadness #sickness #madness #misunderstanding Emotion: sadness Intensity class:	3: high amount of 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: @60DaysInJail Dafron is hands down the biggest loser on the planet!!! Typical #bully #lifer Emotion: fear Intensity class:	0: no fear 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: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #depression #pain Emotion: fear Intensity score:	0.814
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 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: #RiceFODays now I am Alex Butler's class on financial management. Starts off with a great, relevant class discussion: movies and sunk costs Intensity class:	0: neutral or mixed emotional state 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: Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas, was sentenced to 48 months in prison for lying to the Feds about #terrorism. Emotion: fear Intensity class:	1: low amount of fear 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: You sure have a lot to say about something that doesn't even concern you 😉 Emotion: fear Intensity class:	0: no fear can be inferred
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: @JackAndAHat butter up the walls, nightmare Emotion: fear Intensity score:	0.708
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: @ATrumping hahahahahaha!! Oh gosh. You are hilarious. A black man trying to keep racism alive. Get out of here man. This tweet contains emotions:	anger, disgust, joy, optimism
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: so ef whichever butt wipe pulled the fire alarm in davis bc I was sound asleep #pissed #angry #upset #tired #sad #tired #hangry ###### Emotion: anger Intensity score:	0.896
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @AerLingus #business class #Los Angeles to Dublin #destroyed luggage #60 day customer response time #unhappy customer Emotion: sadness Intensity score:	0.583
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: @_stardust_3 unless your concern is people figuring out who you are for wtvr reason, I don't see why you shouldn't tweet about other things Emotion: fear Intensity score:	0.354
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: What a great training course, lots of photos, fun and laughter. Photo's will be up soon #Boostercourse #fun #laughter Emotion: joy Intensity class:	3: high amount of joy can be inferred
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: Just wish I was appreciated for all I do! When is it my turn to be taken care of!! I want a break!! #tired Emotion: sadness Intensity score:	0.771

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: @Elliot_Eastwick just play rappers delight and have a 15 minute kip Emotion: joy Intensity class:

0: no joy 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: Just told me wife there was a chance it would be 2 Sydney teams in AFL grand final. Her response: 'there's two SYDNEY AFL teams?' #serious This tweet contains emotions:

anticipation, disgust, optimism, surprise

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: S/O to the girl that just hit my car...not only did she get lucky w/ no scratch but also from being spared the wrath of sleep deprived Kait🙃 Emotion: anger Intensity class:

2: moderate amount of anger 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: I seem to alternate between 'sleep-full' and sleepless nights. Tonight is a sleepless one. 😕 #insomnia #notfair Emotion: fear Intensity class:

1: low amount of fear can be inferred

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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #cleverpeople Emotion: joy Intensity class:

3: high amount of joy 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: @aidankerrpol I think you should do. Get the fashion police involved. #shocking Emotion: fear Intensity score:

0.458

Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: Omg I'm outside making beats with garageband and some little birds decided to chirp along （≧∇≦） Intensity class:

0: neutral or mixed emotional state 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: My little sister sure can hold a grudge 😂😂😂 Emotion: anger Intensity class:

0: no 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: Shoutout to @VZWSupport for ruining my iPhone 7 order!! #horrible This tweet contains emotions:

anger, disgust, fear, sadness

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: @shawnstockman This would be hilarious, if it weren't so frighteningly on point. It's gone from a few bad apples to a national disgrace. Emotion: joy Intensity class:

0: no joy can be inferred

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: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder This tweet contains emotions:

anger, disgust

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: Hey u never know, Channel 4's version of #GBBO might actually be quite good. A few adverts aren't the end of the world. #optimism Intensity score:

0.641

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: Accept the challenges so that you can feel the exhilaration of victory. #FocusX10 #motivation #motivationalquotes #quoteoftheday This tweet contains emotions:

joy, optimism, trust

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: @FoxNews @SheriffClarke @FoxNewsInsider This man is an affront to our justice system. Emotion: anger Intensity score:

0.688

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: @katlute which one....the one where u threaten violence? Or the phedophiliac u support? Or the constitution violations he proposes? Emotion: fear Intensity class:

2: moderate amount of fear 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: @mywrldsbl I can be your wolf if you want. Hihi~ This tweet contains emotions:

anticipation, joy, optimism

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: @TheZantarin Then maybe we should keep our White mouths shut and let the people being targeted speak and mourn. Emotion: sadness Intensity class:

3: high amount of 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: @corruptmelon now im feeling the #worry This tweet contains emotions:

fear

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: @TzumiXIV huff puff Emotion: anger Intensity class:

2: moderate amount of anger 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: Baaarissshhhhh + sad song = prefect night — feeling alone This tweet contains emotions:

pessimism, sadness

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: @MarianKeyes the pout tips me over the edge. I am most definitely AGIN. Who the feic bakes with full make up and boots with heels!!!! Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

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: @LazyBoiSam blues... blues? 🤔 Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

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: @BrianaBanksxoxo I send ya a few #playful nibbles 😉 Intensity score:

0.679

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: @BlizzHeroes I feel horrible dealing with 'players' in HotS. News on what you're doing about it? Getting stuck with uncooperative people! Emotion: fear Intensity class:

0: no fear 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: Let's get drunk and tell each other things we're afraid to say when we're sober. This tweet contains emotions:

anticipation

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: @kevinrouth Now that's what I call a gameface! #gameface This tweet contains emotions:

anticipation, joy

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: #GBBO is such a homely pure piece of tv gold. Channel 4 will attempt to tart it up. Mary, Sue and Mel gone. It's over. I'm out. 👋 This tweet contains emotions:

anger, 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: ^^^^^\n//Don't worry if your character is already taken. The RP I'm looking for is a non couple forming RP. Just a fun loving haunting.//\n^^^ Emotion: fear Intensity class:

0: no fear 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: When you arrive at the office the day before your first ever festival and the Internet is down #panic This tweet contains emotions:

fear, sadness

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: @keithboykin unfortunately it won't end there... followers of whichever candidate isn't elected will throw tantrums. No winning this elec Emotion: anger Intensity score:

0.521

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: @BonesARP 'That is a disappointment.'\n\nHe fakes a pout, then starts to chuckle. Emotion: sadness Intensity class:

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

0.688

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

Tweet: the ending of how I met your mother is dreadful Emotion: sadness Intensity score:

0.417

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: Okay you've annoyed me, you haven't done a good job there at all. Emotion: anger Intensity class:

3: high amount of anger 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: When you've still got a whole season of Wentworth to watch and a stupid cunt in work ruins it for us 😭😭 @__KirstyGA #oldcunt Emotion: anger Intensity class:

3: high amount of anger 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: @EagleGiles23 @tgilmore_92 what I miss? #outrage Emotion: anger Intensity score:

0.562

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: You don't know what to expect by Brendon's video lmao LA devotee video got me shook This tweet contains emotions:

anticipation, fear, joy, surprise

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: @BrightPigSEO @BrightPigSEO we provide dignified and professional funerals at prices families can afford #satisfied clients #bright pig Emotion: joy Intensity class:

0: no joy 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: I love my black people..... I really really do. But .... my people really do irritate the living hell outta me all cause I'm different. 😑 This tweet contains emotions:

anger, disgust, love

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: @menglishmusic Thank you for the most fantastic evening, it was a brilliant show, you are a truly #sparkling talent, night over too quickly. Emotion: joy Intensity class:

3: high amount of joy 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: Playing at September 21, 2016 at 09:30PM: Demetria Taylor #blues This tweet contains emotions:

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: Another raging storm brought on by my own emotions sorry everyone. enjoy the thunder Emotion: anger Intensity class:

3: high amount of anger can be inferred

Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: Just #terrible from the cats there. Wow. #AFLCatsSwans Emotion: fear Intensity class:

0: no fear 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: @OstinOng YUUUHH 🙄😭 plus clin ep and prevmed ugghhh hahaha This tweet contains emotions:

joy

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: •Days!'\nHe was itching for a fight..itching for the exhilaration of battle, of almost getting defeated, the adrenaline pumping•\n@RojinHitto This tweet contains emotions:

anger, anticipation, joy

Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: My @timehop literally cracks me up when I see posts from 2 years ago and later 😂 #hilarious Emotion: joy Intensity class:

3: high amount of joy 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: May the optimism of tomorrow be your foundation for today. Emotion: joy Intensity score:

0.540

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: did you know that the sparkling letters in Super Mario Galaxy spell out U R MR GAY Emotion: joy Intensity class:

0: no joy 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: @ankitaverma45 @honey5991 rejoicing over someone's sadness is bad but when #Karma is cencerned then definitely some people deserve it.. This tweet contains emotions:

anger, disgust, 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: @Bridget_Jones was joyous. Worried I would be disappointed. Most definitely was not. #chickflick #giggles #comethefuckonbridget This tweet contains emotions:

joy, love, pessimism

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: When your rewatching glee and break down in tears all over again. 😭😢 Emotion: joy Intensity class:

0: no joy can be inferred

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: Good job #Texas for saying no to #Obama for #refugees who could be #terrorists! #Wakeup, #America! #Stop #terrorism. #pray @foxandfriends Emotion: fear Intensity score:

0.562

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: @dish_answers I've contacted @dish @dish_answers #service #whathappenedtocustomerservice 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: @ashleynwinters I don't like the statement but I love the optimism This tweet contains emotions:

joy, love, optimism

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: @VodafoneUKhelp @VodafoneUK wow!! My bill is £44.77 and hav a text from u to prove that and you have taken £148!!!!! #swines #fuming #con! This tweet contains emotions:

anger, disgust

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 so breezy out today, i can't go to back to school night with bare legs like i've had all day Emotion: joy Intensity class:

0: no joy 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: Love your new show @driverminnie #hilarious Emotion: joy Intensity score:

0.788

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: Where are some great places to listen to blues? #nightlife #NightLifeENT #blues #jazz #gatewayarch #stlouis #washingtonave Emotion: sadness Intensity class:

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: @faye_catherine happy anger sad melancholy confusion #woodspurge Intensity score:

0.234

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: If children live with #ridicule, they learn to feel This tweet contains emotions:

joy, optimism

Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 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: @ryleycathryn @Mack_Shepp did you discover the alarming rate at which bees are dying and how important they are to our way of life? Intensity class:

-2: moderately negative emotional state 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: @SilkInSide @TommyJoeRatliff that's so pretty! I love the sky in the background and the purple highlights with the dull colors is great Emotion: sadness Intensity class:

0: no sadness can be inferred

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: @MS_Hiddle_Batch no the flavour of Danish is far better but Danish pastry can be daunting to make! Emotion: fear Intensity score:

0.396

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: Love how cheerful that woman is about storing someone else's furniture for an eternity. I'd have sold it by now. #GrandDesigns Emotion: joy Intensity score:

0.360

Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).

Tweet: Like hello? I am your first born you must always laugh at my jokes. Intensity score:

0.500

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: today has been terrible but tonight will end better because I get to see Malik ❤️ This tweet contains emotions:

anticipation, disgust, joy, love, optimism

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: never afraid to start over Emotion: fear Intensity score:

0.304

Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: Class is canceled due to a funeral. Not sure if it's appropriate to be happy or sad.. #happy Intensity class:

0: neutral or mixed emotional state 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: @Wild_Lucario_ *chuckles* did I scare you? This tweet contains emotions:

fear, surprise

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: BANG! Gordon #Brown has been accused of abusing a gazillion #rabid parrots! Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 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: @r0Ils ppl get triggered over u smiling they're irrelevant Intensity class:

-2: moderately negative emotional state can be inferred

Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny Intensity class:

2: moderately positive emotional state can be inferred

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: It breaks my heart seeing people down or upset.. I will try my best to make them smile or cheer them up 🤗 This tweet contains emotions:

optimism, sadness

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: .@Travelanswerman: B assured there is plenty of salt 2 keep that #fire #burning brightly! Stay #happy N life by keeping plenty #salty… … Emotion: anger Intensity score:

0.375

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: Michelle is one of the worst players in bb history #bb18 #bbfinale Emotion: anger Intensity score:

0.542

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: @melsey6 oh good girl hope she is cheerful Emotion: joy Intensity class:

1: low amount of joy 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: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate. This tweet contains emotions:

anticipation, 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: @TurtleTitan2003 (She laughed a bit. Of course it was! Aria shook her head, calming her mirth so she could listen to Mikey.) No, actually. + This tweet contains emotions:

joy, optimism

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: @Bickley_Marotta yea because forcing 5 turnovers and holding a pretty good offense to 7 points is concerning.....oh wait. NO!! Emotion: anger Intensity score:

0.375

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: Bitches aggravate like what inspires you to be the biggest cunt known to man kind? Emotion: anger Intensity score:

0.854

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: “My friend do you fly away now? To a world that abhors you and I? All that awaits you is a somber morrow No matter where the winds may blow” Emotion: sadness Intensity score:

0.544

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: As I lost my heart to you there in the dark.. Underneath the stars 🎧 This tweet contains emotions:

joy, love, optimism

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

Tweet: I miss my gran singing Rawhide, in her deep baritone growl. Emotion: anger Intensity score:

0.292

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: @chrislhayes It's hard for most folks to realize how deep the hatred is until you dive into the murky end of the pool. This guy is nuts. Emotion: sadness Intensity class:

2: moderate 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: @SusanHensThe shameful display I watched today has left me reeling with so much anger dt I feel like exploding, those clowns should watch it Emotion: anger Intensity class:

3: high amount of anger 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: Watch this amazing live.ly broadcast by @evanhufferd #musically Emotion: joy Intensity class:

1: low amount of 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 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: @Cherie_Fitz it's being extremely playful Intensity class:

1: slightly positive emotional state 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: From My head to think it was better but obviously it's not #relapse #sadness #sickness #madness #misunderstanding Emotion: sadness Intensity class:

3: high amount of 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: @60DaysInJail Dafron is hands down the biggest loser on the planet!!! Typical #bully #lifer Emotion: fear Intensity class:

0: no fear 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: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #depression #pain Emotion: fear Intensity score:

0.814

Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 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: #RiceFODays now I am Alex Butler's class on financial management. Starts off with a great, relevant class discussion: movies and sunk costs Intensity class:

0: neutral or mixed emotional state 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: Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas, was sentenced to 48 months in prison for lying to the Feds about #terrorism. Emotion: fear Intensity class:

1: low amount of fear 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: You sure have a lot to say about something that doesn't even concern you 😉 Emotion: fear Intensity class:

0: no fear can be inferred

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: @JackAndAHat butter up the walls, nightmare Emotion: fear Intensity score:

0.708

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: @ATrumping hahahahahaha!! Oh gosh. You are hilarious. A black man trying to keep racism alive. Get out of here man. This tweet contains emotions:

anger, disgust, joy, optimism

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: so ef whichever butt wipe pulled the fire alarm in davis bc I was sound asleep #pissed #angry #upset #tired #sad #tired #hangry ###### Emotion: anger Intensity score:

0.896

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

Tweet: @AerLingus #business class #Los Angeles to Dublin #destroyed luggage #60 day customer response time #unhappy customer Emotion: sadness Intensity score:

0.583

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: @_stardust_3 unless your concern is people figuring out who you are for wtvr reason, I don't see why you shouldn't tweet about other things Emotion: fear Intensity score:

0.354

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: What a great training course, lots of photos, fun and laughter. Photo's will be up soon #Boostercourse #fun #laughter Emotion: joy Intensity class:

3: high amount of joy can be inferred

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: Just wish I was appreciated for all I do! When is it my turn to be taken care of!! I want a break!! #tired Emotion: sadness Intensity score:

0.771