Holmeister/AAID-clone · Datasets at Hugging Face

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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: Trying to take what's lost and broken and make it right This tweet contains emotions:	anticipation, joy, optimism, sadness
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: @Yoshi_OnoChin can you please not have Canadian players play US players, that lag is atrocious. #fixthisgame #trash #sfvrefund #rage Emotion: anger Intensity score:	0.604
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: angry already Emotion: anger Intensity class:	3: high amount of anger 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: @sidviyer uff!! Look at your Arsenal fans cheering for every goal against United. haha This tweet contains emotions:	joy, optimism, surprise
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: blues bar This tweet contains emotions:
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: If i start growing out my mustache now, I can be Pablo Escobar for Halloween!!! Emotion: fear Intensity class:	0: no fear can be inferred
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: i miss the guy who always make me sulk Emotion: sadness Intensity score:	0.604
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: @amychozick @jswatz Not a word about terrorism. Intensity score:	0.458
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: Light of day per heyday popularization backfire cinematography: XUcQb Intensity class:	-1: slightly negative emotional state 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: Forever angry that gh ruined Molly and morgan's bond/friendship #bitter This tweet contains emotions:	anger, disgust, sadness
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: @andrewmcmeme nah, I asked really insightful teacherly questions so he could write a kickass report of his own. He will, sadly, never know This tweet contains emotions:	anger, anticipation, disgust, sadness
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: @CorningFootball IT'S GAME DAY!!!! T MINUS 14:30 #relentless Emotion: anger Intensity score:	0.144
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: @tannerfox awe cnt wait to see Emotion: fear Intensity score:	0.160
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @atheist_taco @DrJillStein :^) well cucks among her ranks agree equally about their outrage of black youths shot and harambe. Emotion: anger Intensity score:	0.542
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 need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕 #tiff This tweet contains emotions:	joy, love
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: @indiamarshall_ that's great! It's not easy!\n& it's amazing when nervousness turns into adrenaline 😂\nHad you had concerts as soloist before? Emotion: fear Intensity class:	0: no fear 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: @Malkarii_ Korgoth of Barbaria for brutality, King Julian for hilarity, and Ariel... Because hot... Emotion: joy Intensity class:	1: low amount of joy can be inferred
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: Can we get a shot of Lingys face at 1/4 time ? Pretty sure it would be more red then his hair #fuming #pretendinghesok #ruok #AFLCatsSwans Emotion: anger Intensity score:	0.604
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: It's the most magical time of the year......Xmas party announced and the #outrage commences. Gotta love Silicon Valley millennials. Emotion: anger Intensity score:	0.429
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: @lukeshawtime terrible 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: gotta say this n put it out there. whoever u r, u should support other people's decisions n not discourage them... Emotion: sadness Intensity score:	0.354
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: Trying to take what's lost and broken and make it right This tweet contains emotions:	anticipation, joy, optimism, sadness
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: I found #marmite in Australia. `:) Emotion: joy Intensity score:	0.558
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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #breezy #ChrisBrown #TeamBreezy This tweet contains emotions:	disgust, joy, 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: @SusannahSpot I could pop round Emotion: fear Intensity class:	0: no fear can be inferred
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Probs spent a grand total of five minutes sober since Sunday evening :) #freshers Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Time for some despair #SDR3 #despair #fuckthisanime Emotion: fear Intensity class:	3: high amount of 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: @KClarkSC2 @JohamasSC2 with their faggy colors are nice' is ok too. Even tho some might take offense because WORDS LOL. This tweet contains emotions:	joy, 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: A @FirstBSA not turning up? Why am I not surprised. Late for work again! Emotion: anger Intensity score:	0.583
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: @SimplyMayaMarie @STILLStanding_B 😂😂😂 y'all know I'm crazy its just shocking that's all Intensity score:	0.645
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: me, myself, and I \n #horror movie alone again tonight maybe a #zombie would eat me and finish my life game already - i want #gameover Emotion: fear Intensity class:	1: low amount of fear can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.	Tweet: @ManUtd carrick and Herrera proved their worth last night. What more does Rooney need to do to get dropped #awful. Rashford needs to start This tweet contains emotions:	anger, disgust, 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: @kevinmenzel annual reminder that i don't care and will cheerfully eat anything so labeled Emotion: joy Intensity class:	1: low amount of joy 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: ari looks hilarious oh my g d this is too much Intensity class:	3: very positive 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: I'm mad at the injustice, so I'm going to smash my neighbours windows'. Makes perfect sense. #CharlotteProtest This tweet contains emotions:	anger
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: @JonnyDunn93 and Gerrard was awful then Emotion: fear Intensity class:	0: no 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: ((things that grind my gears: people drawing gideon gleeful skinny 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: @CUTEFUNNYANIMAL @luvcaps19 My sister's dog does this. I think it's because she knows it'll provoke a reaction Emotion: anger Intensity class:	0: no anger 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: I don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes Emotion: anger Intensity class:	1: low 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: Like if you aggravate me constantly, byeeeeeeee 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: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #fuming #NoWorkForMe Intensity class:	-3: very negative emotional state 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: @PriiiincesssE thanks for distracting me from my paper to watch this hilarious video 😂 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: US you need to band together not apart #nevertrump he promotes hatred and fuels #fear This tweet contains emotions:	anger, disgust, fear
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: @palmtreesarah @WorthingTheatre had more fun than the funniest person in funsville..... Much hilarity as usual.... Thank you ❤️ Intensity class:	3: very positive emotional state 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: @OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic Emotion: sadness Intensity score:	0.146
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: @Alanafergusson snap meee This tweet contains emotions:
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).	Tweet: Thanks for ripping me off again #Luthansa €400 not enough for a one way flight to man from Frk then €30 for a bag then free at gate Intensity score:	0.274
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: 3:45am and off to the hospital! Elouise's waters have gone! #Labour #LittleSister #superexcited This tweet contains emotions:	joy
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.	Tweet: I be trying to not stay playing madden and 2k 17 but its just so addictive 😭😭 Emotion: anger Intensity score:	0.250
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: It's Thursday which means it's Grey's day #TGIT Intensity class:	1: slightly positive emotional state can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: #PeaceIsPossible when both party accept one another and rejoice together after #OndoGuber,Nov26. @JciOndokingdom @cuttie_dove @Lekibeat Emotion: joy Intensity class:	1: low 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: penny dreadful just cleaved off a fraction of my heart Emotion: sadness Intensity score:	0.521
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: Never dull moment here Emotion: sadness Intensity score:	0.146
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: Might start stanning Lady Gaga again - more so than last time - but shhh don't tell Connor 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: @Dak2future decorations are up all over Jersey already #outrage This tweet contains emotions:	anger, disgust
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: The #pessimist complains about the wind; the #optimist expects it to change; the realist adjusts the sails.' - William Arthur Ward\n#IGNITE This tweet contains emotions:	optimism, pessimism
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: Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter #shocking Emotion: fear Intensity class:	1: low amount of fear 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: @ahtareen1 @ReginalAleman @krelifa @zamansj64 @AwiexaB Very pleasing ty! Intensity score:	0.710
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: Just over a week until I start my new job in F1! Looking forward to it and cacking myself at the same time! Emotion: fear Intensity score:	0.440
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @WestHamUtd why does the ticket website never work? Trying to buy Palace tickets and it's impossible and says there's an error #awful Emotion: fear Intensity score:	0.500
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: Nutella is pine green forget me nots are ivory frozen is god This tweet contains emotions:	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: Recommended reading: Prisoners of Hate by Aaron Beck This tweet contains emotions:
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: @NewAgeInsiders @ChaoticWrestlin @davienne_long make sure you tell them how scared you are #revenge 🙌🏼🙌🏼 Emotion: anger Intensity score:	0.500
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: and apparently he's supposed to have a Scottish accent??? I'm #offended Emotion: anger Intensity score:	0.562
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: @Bhavnay that, i dont mind too much. smoother, thicker texture. makes it more hearty. also, im glad iced coffee is a thing in the uk now. Emotion: joy Intensity class:	1: low amount of joy can be inferred
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: People want me to go pine ridge, little wound or Oelrichs. Starting to think about transferring but I wanna stay at cloud. Decisions man. Emotion: sadness Intensity score:	0.396
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: @comicfire The thing is, it's either I be unproductive and unhappy, or deal with some videos that do badly. Emotion: sadness Intensity class:	2: moderate amount of sadness 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: @kimdelacreme_ @Srgohdatzme305 I'm there... let me know #sober Emotion: sadness Intensity score:	0.312
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: Living with #depression doesn't mean you must be defeated by it\nevery day's a new day and yesterday doesn't decide what today looks like :-) Emotion: sadness Intensity class:	1: low amount of sadness 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: RE: #politicallycorrect #BS What if I am #offended by your assumption the USA should change because you are a 'visitor' & don't like it? This tweet contains emotions:	anger, disgust, sadness
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: if you do me wrong i will not hesitate to block you and cut you out of my life completely 😇 it's one of my greatest talents This tweet contains emotions:	anger, disgust, joy, pessimism
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: Amateurs sit and wait for inspiration, the rest of us just get up and go to work.' -- Stephen King #authors #serious #writingtip Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk Emotion: sadness Intensity class:	1: low amount of 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: Hell hath no fury like a sound technician scorned'\n\nThat's the quote right This tweet contains emotions:	anger, disgust
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: @FoxNews Very thought provoking & leads one to question what really happened.Very sad for all. Emotion: sadness Intensity score:	0.771
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: Welp, I'm off to get my #anxiety meds now. #Empire Emotion: fear Intensity score:	0.750
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: @InfluensterVox @irontekfit I love my #IronTekFit protein shake in the morning before yoga! #ESVoxbox This tweet contains emotions:	joy
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: ...at your age, the heyday in the blood is tame...' @TheArtofCharm #shakespeareaninsults #hamlet #elizabethan #williamshakespeare Emotion: joy Intensity class:	0: no 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: @GreggDoyelStar I'm sure you'll have a heyday if they do This tweet contains emotions:	optimism
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: My ukulele bag has fallen apart.  WELLL AT LEAST my life hasn't yet!! #Joys\n\n#quote #problemsolving #behappy Emotion: joy Intensity class:	0: no joy 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: @komaebun He just has that way of thinking, he wants absolute hope born from absolute despair. Emotion: fear Intensity score:	0.583
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: @RIPPoohSavage u know ion play that shit bout my weary brother Emotion: sadness Intensity class:	2: moderate amount of 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: When's it all finished, you will discover that it was never random! #thoughts #CrossoverLife This tweet contains emotions:	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: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #laughter #challenge #kashmir #baloch Emotion: joy Intensity score:	0.700
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: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍 This tweet contains emotions:	joy, love
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: @D_McMenemy It'll be easy to spot the parade of tiny weans in expensive jammies. Really is hilarious! Emotion: joy Intensity score:	0.750
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: Oh goodness I'm loving this rainy day. It's a head down, #creative cap on, & get #lost in your #thoughts kind of day 💭 ☺️ #art #create #biz Emotion: sadness Intensity score:	0.250
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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #snap #nudes #tits #snapchat Emotion: anger Intensity class:	0: no anger 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: @EurekaForbes U got to b kidding me. Anu from your firm responded when I sent the contact details. #customerexperience Emotion: fear Intensity score:	0.417
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: Some Mexican ladies irritate the fuck outta me. Have a their own lil preschool of fucking kids for the welfare & allllat smh. This tweet contains emotions:	anger, disgust
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: These girls who are playful and childlike seem to have such lovely relationships. Can't imagine them having serious convos but it's cute 😍😍 Emotion: joy Intensity score:	0.688
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 going to local news immediately after #DesignatedSurvivor turns out to be a smooth transition. 'Chaos! A raging fire!...' #media #fear Emotion: fear Intensity score:	0.729
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: Root canal therapy has had a bad reputation in the past... but new technology has allowed more comfortable procedures! #dental This tweet contains emotions:	anticipation, joy, optimism, surprise
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: @NicKeaney Hope they refuse :( x #depressing This tweet contains emotions:	pessimism, sadness
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: @ltsukis im love you, even if you bully me sadly Emotion: fear Intensity class:	0: no fear can be inferred
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: #FF @ManihaAamir @adrence Keep on #smiling … ! Emotion: joy Intensity class:	1: low amount of joy 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: come to the funeral tomorrow at 12 to mourn the death of my gpa Emotion: sadness Intensity score:	0.833
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 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: @bear_ing you asshole... you made me sexually attacked to a animated bear :-P Intensity class:	-2: moderately negative emotional state 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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any This tweet contains emotions:	anticipation, joy, optimism, trust
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: Will I offend you\nif I am truthful but kind\nor will you see why?\n@baffled #haikuchallenge Emotion: anger Intensity score:	0.417

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: Trying to take what's lost and broken and make it right This tweet contains emotions:

anticipation, joy, optimism, sadness

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: @Yoshi_OnoChin can you please not have Canadian players play US players, that lag is atrocious. #fixthisgame #trash #sfvrefund #rage Emotion: anger Intensity score:

0.604

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: angry already Emotion: anger Intensity class:

3: high amount of anger 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: @sidviyer uff!! Look at your Arsenal fans cheering for every goal against United. haha This tweet contains emotions:

joy, optimism, surprise

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: blues bar This tweet contains emotions:

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

Tweet: If i start growing out my mustache now, I can be Pablo Escobar for Halloween!!! Emotion: fear Intensity class:

0: no fear can be inferred

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: i miss the guy who always make me sulk Emotion: sadness Intensity score:

0.604

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: @amychozick @jswatz Not a word about terrorism. Intensity score:

0.458

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: Light of day per heyday popularization backfire cinematography: XUcQb Intensity class:

-1: slightly negative emotional state 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: Forever angry that gh ruined Molly and morgan's bond/friendship #bitter This tweet contains emotions:

anger, disgust, sadness

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: @andrewmcmeme nah, I asked really insightful teacherly questions so he could write a kickass report of his own. He will, sadly, never know This tweet contains emotions:

anger, anticipation, disgust, sadness

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: @CorningFootball IT'S GAME DAY!!!! T MINUS 14:30 #relentless Emotion: anger Intensity score:

0.144

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: @tannerfox awe cnt wait to see Emotion: fear Intensity score:

0.160

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

Tweet: @atheist_taco @DrJillStein :^) well cucks among her ranks agree equally about their outrage of black youths shot and harambe. Emotion: anger Intensity score:

0.542

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 need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕 #tiff This tweet contains emotions:

joy, love

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: @indiamarshall_ that's great! It's not easy!\n& it's amazing when nervousness turns into adrenaline 😂\nHad you had concerts as soloist before? Emotion: fear Intensity class:

0: no fear 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: @Malkarii_ Korgoth of Barbaria for brutality, King Julian for hilarity, and Ariel... Because hot... Emotion: joy Intensity class:

1: low amount of joy can be inferred

Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: Can we get a shot of Lingys face at 1/4 time ? Pretty sure it would be more red then his hair #fuming #pretendinghesok #ruok #AFLCatsSwans Emotion: anger Intensity score:

0.604

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

Tweet: It's the most magical time of the year......Xmas party announced and the #outrage commences. Gotta love Silicon Valley millennials. Emotion: anger Intensity score:

0.429

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: @lukeshawtime terrible 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: gotta say this n put it out there. whoever u r, u should support other people's decisions n not discourage them... Emotion: sadness Intensity score:

0.354

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: Trying to take what's lost and broken and make it right This tweet contains emotions:

anticipation, joy, optimism, sadness

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

Tweet: I found #marmite in Australia. `:) Emotion: joy Intensity score:

0.558

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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #breezy #ChrisBrown #TeamBreezy This tweet contains emotions:

disgust, joy, 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: @SusannahSpot I could pop round Emotion: fear Intensity class:

0: no fear can be inferred

Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: Probs spent a grand total of five minutes sober since Sunday evening :) #freshers Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: Time for some despair #SDR3 #despair #fuckthisanime Emotion: fear Intensity class:

3: high amount of 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: @KClarkSC2 @JohamasSC2 with their faggy colors are nice' is ok too. Even tho some might take offense because WORDS LOL. This tweet contains emotions:

joy, 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: A @FirstBSA not turning up? Why am I not surprised. Late for work again! Emotion: anger Intensity score:

0.583

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: @SimplyMayaMarie @STILLStanding_B 😂😂😂 y'all know I'm crazy its just shocking that's all Intensity score:

0.645

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: me, myself, and I \n #horror movie alone again tonight maybe a #zombie would eat me and finish my life game already - i want #gameover Emotion: fear Intensity class:

1: low amount of fear can be inferred

Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.

Tweet: @ManUtd carrick and Herrera proved their worth last night. What more does Rooney need to do to get dropped #awful. Rashford needs to start This tweet contains emotions:

anger, disgust, 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: @kevinmenzel annual reminder that i don't care and will cheerfully eat anything so labeled Emotion: joy Intensity class:

1: low amount of joy 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: ari looks hilarious oh my g d this is too much Intensity class:

3: very positive 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: I'm mad at the injustice, so I'm going to smash my neighbours windows'. Makes perfect sense. #CharlotteProtest This tweet contains emotions:

anger

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: @JonnyDunn93 and Gerrard was awful then Emotion: fear Intensity class:

0: no 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: ((things that grind my gears: people drawing gideon gleeful skinny 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: @CUTEFUNNYANIMAL @luvcaps19 My sister's dog does this. I think it's because she knows it'll provoke a reaction Emotion: anger Intensity class:

0: no anger 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: I don't get what point is made when reporting on Charlotte looting @CNNAshleigh. Why not explore what looting businesses symbolizes Emotion: anger Intensity class:

1: low 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: Like if you aggravate me constantly, byeeeeeeee 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: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #fuming #NoWorkForMe Intensity class:

-3: very negative emotional state 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: @PriiiincesssE thanks for distracting me from my paper to watch this hilarious video 😂 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: US you need to band together not apart #nevertrump he promotes hatred and fuels #fear This tweet contains emotions:

anger, disgust, fear

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: @palmtreesarah @WorthingTheatre had more fun than the funniest person in funsville..... Much hilarity as usual.... Thank you ❤️ Intensity class:

3: very positive emotional state 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: @OpentheDoorRadi thanks for playing Crock Pot Going #radio #blog #blues #music #indiemusic Emotion: sadness Intensity score:

0.146

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: @Alanafergusson snap meee This tweet contains emotions:

Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).

Tweet: Thanks for ripping me off again #Luthansa €400 not enough for a one way flight to man from Frk then €30 for a bag then free at gate Intensity score:

0.274

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: 3:45am and off to the hospital! Elouise's waters have gone! #Labour #LittleSister #superexcited This tweet contains emotions:

joy

Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.

Tweet: I be trying to not stay playing madden and 2k 17 but its just so addictive 😭😭 Emotion: anger Intensity score:

0.250

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: It's Thursday which means it's Grey's day #TGIT Intensity class:

1: slightly positive emotional state can be inferred

Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: #PeaceIsPossible when both party accept one another and rejoice together after #OndoGuber,Nov26. @JciOndokingdom @cuttie_dove @Lekibeat Emotion: joy Intensity class:

1: low 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: penny dreadful just cleaved off a fraction of my heart Emotion: sadness Intensity score:

0.521

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: Never dull moment here Emotion: sadness Intensity score:

0.146

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: Might start stanning Lady Gaga again - more so than last time - but shhh don't tell Connor 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: @Dak2future decorations are up all over Jersey already #outrage This tweet contains emotions:

anger, disgust

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: The #pessimist complains about the wind; the #optimist expects it to change; the realist adjusts the sails.' - William Arthur Ward\n#IGNITE This tweet contains emotions:

optimism, pessimism

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: Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter #shocking Emotion: fear Intensity class:

1: low amount of fear 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: @ahtareen1 @ReginalAleman @krelifa @zamansj64 @AwiexaB Very pleasing ty! Intensity score:

0.710

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: Just over a week until I start my new job in F1! Looking forward to it and cacking myself at the same time! Emotion: fear Intensity score:

0.440

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

Tweet: @WestHamUtd why does the ticket website never work? Trying to buy Palace tickets and it's impossible and says there's an error #awful Emotion: fear Intensity score:

0.500

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: Nutella is pine green forget me nots are ivory frozen is god This tweet contains emotions:

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: Recommended reading: Prisoners of Hate by Aaron Beck This tweet contains emotions:

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: @NewAgeInsiders @ChaoticWrestlin @davienne_long make sure you tell them how scared you are #revenge 🙌🏼🙌🏼 Emotion: anger Intensity score:

0.500

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: and apparently he's supposed to have a Scottish accent??? I'm #offended Emotion: anger Intensity score:

0.562

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: @Bhavnay that, i dont mind too much. smoother, thicker texture. makes it more hearty. also, im glad iced coffee is a thing in the uk now. Emotion: joy Intensity class:

1: low amount of joy can be inferred

Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.

Tweet: People want me to go pine ridge, little wound or Oelrichs. Starting to think about transferring but I wanna stay at cloud. Decisions man. Emotion: sadness Intensity score:

0.396

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: @comicfire The thing is, it's either I be unproductive and unhappy, or deal with some videos that do badly. Emotion: sadness Intensity class:

2: moderate amount of sadness 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: @kimdelacreme_ @Srgohdatzme305 I'm there... let me know #sober Emotion: sadness Intensity score:

0.312

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: Living with #depression doesn't mean you must be defeated by it\nevery day's a new day and yesterday doesn't decide what today looks like :-) Emotion: sadness Intensity class:

1: low amount of sadness 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: RE: #politicallycorrect #BS What if I am #offended by your assumption the USA should change because you are a 'visitor' & don't like it? This tweet contains emotions:

anger, disgust, sadness

Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).

Tweet: if you do me wrong i will not hesitate to block you and cut you out of my life completely 😇 it's one of my greatest talents This tweet contains emotions:

anger, disgust, joy, pessimism

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: Amateurs sit and wait for inspiration, the rest of us just get up and go to work.' -- Stephen King #authors #serious #writingtip Emotion: sadness Intensity class:

0: no sadness can be inferred

Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: Literally had a guy (a some-would-say-successful guy) tell me 'this ship will sail' kay guy, first, you're working with a sub, last, it sunk Emotion: sadness Intensity class:

1: low amount of 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: Hell hath no fury like a sound technician scorned'\n\nThat's the quote right This tweet contains emotions:

anger, disgust

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: @FoxNews Very thought provoking & leads one to question what really happened.Very sad for all. Emotion: sadness Intensity score:

0.771

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: Welp, I'm off to get my #anxiety meds now. #Empire Emotion: fear Intensity score:

0.750

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: @InfluensterVox @irontekfit I love my #IronTekFit protein shake in the morning before yoga! #ESVoxbox This tweet contains emotions:

joy

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: ...at your age, the heyday in the blood is tame...' @TheArtofCharm #shakespeareaninsults #hamlet #elizabethan #williamshakespeare Emotion: joy Intensity class:

0: no 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: @GreggDoyelStar I'm sure you'll have a heyday if they do This tweet contains emotions:

optimism

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: My ukulele bag has fallen apart.  WELLL AT LEAST my life hasn't yet!! #Joys\n\n#quote #problemsolving #behappy Emotion: joy Intensity class:

0: no joy 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: @komaebun He just has that way of thinking, he wants absolute hope born from absolute despair. Emotion: fear Intensity score:

0.583

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: @RIPPoohSavage u know ion play that shit bout my weary brother Emotion: sadness Intensity class:

2: moderate amount of 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: When's it all finished, you will discover that it was never random! #thoughts #CrossoverLife This tweet contains emotions:

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: Nawaz Sharif is getting more funnier than @kapilsharmak9 day by day. #laughter #challenge #kashmir #baloch Emotion: joy Intensity score:

0.700

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: @spamvicious I've just found out it's Candice and not Candace. She can pout all she likes for me 😍 This tweet contains emotions:

joy, love

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: @D_McMenemy It'll be easy to spot the parade of tiny weans in expensive jammies. Really is hilarious! Emotion: joy Intensity score:

0.750

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: Oh goodness I'm loving this rainy day. It's a head down, #creative cap on, & get #lost in your #thoughts kind of day 💭 ☺️ #art #create #biz Emotion: sadness Intensity score:

0.250

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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #snap #nudes #tits #snapchat Emotion: anger Intensity class:

0: no anger 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: @EurekaForbes U got to b kidding me. Anu from your firm responded when I sent the contact details. #customerexperience Emotion: fear Intensity score:

0.417

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: Some Mexican ladies irritate the fuck outta me. Have a their own lil preschool of fucking kids for the welfare & allllat smh. This tweet contains emotions:

anger, disgust

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: These girls who are playful and childlike seem to have such lovely relationships. Can't imagine them having serious convos but it's cute 😍😍 Emotion: joy Intensity score:

0.688

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 going to local news immediately after #DesignatedSurvivor turns out to be a smooth transition. 'Chaos! A raging fire!...' #media #fear Emotion: fear Intensity score:

0.729

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: Root canal therapy has had a bad reputation in the past... but new technology has allowed more comfortable procedures! #dental This tweet contains emotions:

anticipation, joy, optimism, surprise

Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.

Tweet: @NicKeaney Hope they refuse :( x #depressing This tweet contains emotions:

pessimism, sadness

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: @ltsukis im love you, even if you bully me sadly Emotion: fear Intensity class:

0: no fear can be inferred

Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: #FF @ManihaAamir @adrence Keep on #smiling … ! Emotion: joy Intensity class:

1: low amount of joy 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: come to the funeral tomorrow at 12 to mourn the death of my gpa Emotion: sadness Intensity score:

0.833

Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 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: @bear_ing you asshole... you made me sexually attacked to a animated bear :-P Intensity class:

-2: moderately negative emotional state 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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any This tweet contains emotions:

anticipation, joy, optimism, trust

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: Will I offend you\nif I am truthful but kind\nor will you see why?\n@baffled #haikuchallenge Emotion: anger Intensity score:

0.417