Holmeister/AAID-clone · Datasets at Hugging Face

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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: #Muslims are the principle victims of #terrorism. More Muslims are dying at the hands of these #terrorists than anyone else. #YounusAlGohar This tweet contains emotions:	fear
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: Love your new show @driverminnie This tweet contains emotions:	joy, love
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: Being #happy means letting go of the clinging and attachment to things in your life. #WednesdayWisdom #life Intensity score:	0.688
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: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #nervous #timetogrind Emotion: fear Intensity class:	2: moderate amount of fear can be inferred
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).	Tweet: Caballero having a nightmare #sweeperkeepernot Intensity score:	0.355
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: @LoisJoanneLane Wagging his tail at the praise, he paused, tilting his head as she took the frisbee from him, letting out a playful - Emotion: joy Intensity class:	2: moderate amount of joy can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.	Tweet: @PurpleReplisol meden is frowning at you with her non existent face This tweet contains emotions:	anger, disgust
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: @littlepieces Customer services got involved and eventually completely wash their hands of it. #dreamornightmare This tweet contains emotions:	anger, disgust, fear
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: Rooney = whipping boy. #mufc Emotion: sadness Intensity score:	0.354
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: I've used Dey Know as my alarm clock song throughout college #RIPShawtyLo Emotion: fear Intensity score:	0.354
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: me taking a picture by myself: awkward smile\nme on picture day: awkward smile\nconclusion: stop smiling ;'(\n#pictureday2016 #smile #ornot Intensity class:	0: neutral or mixed 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: @BartholomewD It's -terrible-! We're going to the local fish/chip place in Kirribilli 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: @steph_baker7 i tried to turn off my alarm this morning and it turned on all my alarms instead 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: @coalese 😂😂😂. Sure half these stars get together,break up,have affairs,let porn vids slip out,fight,ect etc all to up there ratings. #sad 😂 Emotion: sadness Intensity score:	0.458
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: @reinervshunter you got this #staystrong #smile #yourebeautiful Emotion: joy Intensity class:	2: moderate 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: @tweet_faver its reaper!! before he became reaper, you can find their stories on the wiki and thru the comics and animated shorts! Intensity class:	0: neutral or mixed emotional state 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: Recommended reading: Prisoners of Hate by Aaron Beck #anger This tweet contains emotions:	anger
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: @Thatguy_dree @RecklessWonder_ neither one of y'all can see me in this madden This tweet contains emotions:	anger, 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: A delight to be at the Lane tonight and witness the debuts of some young talent that could be the backbone of our club!! #COYS Emotion: joy Intensity score:	0.667
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 get so much PUSSY\nP - panic attacks \nU - uncontrollable anxiety \nS - suicidal fantasies \nS - sadness \nY - yearning for death Emotion: fear Intensity class:	3: high amount of fear can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.	Tweet: Star trek online has a update to download oh fuming yay This tweet contains emotions:	anger, disgust, joy, sadness
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @makemytripcare but what I am doing is in my control, #AvoidMMT , you guys are Emotion: fear Intensity class:	0: no fear 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: During the day @JeffProbst is jovial. At #TribalCouncil he's a different, darker fellow. Still simply but smiles are few. #Survivor This tweet contains emotions:	joy, optimism
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: You forever straight so fix that frown u good😇 @amayyaaag__ Emotion: sadness Intensity class:	0: no sadness 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: Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #smrtruinslives Emotion: anger Intensity score:	0.771
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: @Tjsotomayor snow pig, that's hilarious. Lmaooo This tweet contains emotions:	joy
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: @MacDsmash you should get some @SSB_Swedish delight This tweet contains emotions:	joy, 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: @Mysteri759 @Ren102e906 @slb42jcb @swoozyqyah Well, I'm too old, and too stubborn about facts & history to be discouraged. Emotion: sadness Intensity class:	1: low amount of sadness 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: @xaninaany I'm so serious DM me I'll tell u more This tweet contains emotions:	anticipation, optimism, trust
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: Wrinkles should merely hide where frown have been. - Mark Twain This tweet contains emotions:	anticipation, optimism, trust
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'm so bored and fat and full and ridiculously overweight and rolls galore Emotion: fear Intensity score:	0.417
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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. 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: That's the old me though #imachildofgod #whatistwerking #sober #married #bye Emotion: sadness Intensity score:	0.458
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @HillaryClinton @TheDemocrats It's ok 2 be disgusted or dishearten with presidential race but don't let that stop u from voting IT MATTERS Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
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: I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy Intensity class:	3: very positive emotional state 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: I dislike people who get offended by the littlest shit . This tweet contains emotions:	anger, disgust
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.	Tweet: Mary Berry - what's the icing on top of your Bakewell tart? It looks like horrid Mr Kipling, not something Derbyshire would recognise #GBBO Emotion: fear Intensity score:	0.360
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).	Tweet: @DamnPatriot You're a POS for rejoicing in someone's death. Intensity score:	0.422
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: Alt-J - Hunger of the pine. Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.	Tweet: Corbyn loses and I walk up to a crying Corbyn supporter and whisper\n\n'Don't mourn. Organise'\n\nAnd laugh and laugh This tweet contains emotions:	joy, optimism, sadness
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Had a great time at Skywalkers open gym tonight! Come our every Wednesday from 7-8 in Hillsboro and train with us! #opengym #cheer #tumbling Emotion: joy Intensity class:	3: high amount of 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: #BridgetJonesBaby is the best thing I've seen in ages! So funny, I've missed Bridget! #love #TeamMark Emotion: joy Intensity class:	3: high amount of 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: @hamzakhawaja99 just die depression. This tweet contains emotions:	pessimism, sadness
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: 😳The intensity that @sydneyswans play at is extraordinary #relentless #AFLCatsSwans #AFLFinals 🏉👏🏿 Emotion: anger Intensity class:	0: no anger can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: .@Travelanswerman: When U ride on a pile of salt life is extra sweet! Always salty always savory! #surfing #aloha #smiling … Emotion: joy Intensity class:	3: high amount of joy 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: How could such a crooked,stuck up,delusional,dim& #dark hearted dud be surprised losing&prob also ppl won't let their crimes drop! #nwo imo Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).	Tweet: A @FirstBSA not turning up? Why am I not surprised. Late for work again! Intensity score:	0.391
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: It's amazing how something gets stuck in your head, and you can't shake a memory... Sometimes, I miss people a lot. Wish they knew. Emotion: fear Intensity score:	0.583
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: @komaebun He just has that way of thinking, he wants absolute hope born from absolute despair. Emotion: fear Intensity class:	1: low amount of fear 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: @SueWallace78 peanut butter???? You some kinda pervert?? #awful Intensity class:	-3: very negative emotional state can be inferred
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: @tylerhower Covering Milo might make sense—not much, even at that—but celebrating him as puckish is cooperation in something ghastly. Intensity class:	-2: moderately negative emotional state can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: Think Val might be going this week. I'll have to take the rest of the week off work to mourn. I'm sure they'll understand. #GBBO This tweet contains emotions:	sadness
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).	Tweet: A liar an a bully for president? They say every vote matter , well I'm sorry you'll not get my vote until the year 2020 Intensity score:	0.328
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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest Emotion: sadness Intensity score:	0.438
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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n #education #learning 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: When your body says FUCK YOU BITCH, You ain't sleeping\n#sleep #cantsleep #drained #restless Emotion: fear Intensity score:	0.625
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: Candice on great british bake off with that pout does my head in 👊🏻🙄 This tweet contains emotions:	anger, anticipation, optimism, surprise
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: @Ganypede I notice that nice people believe in a nice god and horrid people believe in a horrid god who happens to hate everybody they hate. Intensity score:	0.450
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: Chart music is pretty much ALL the same.. #horrific Emotion: fear Intensity score:	0.375
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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #haunt #kittens This tweet contains emotions:	anticipation, fear, joy
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: @AaronGoodwin seriously dude buy some bubble tape for your phones. #snap broke another phone Emotion: anger Intensity score:	0.458
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: #happiness #recipe: an open mind, #laughter, a kind #heart & Emotion: joy Intensity score:	0.667
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: @Nigerianscamsss @TrillSmith you think I came back to twitter and not ruffle a few bushes? Tuh. Emotion: anger Intensity score:	0.521
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: @BeenishParvez salaams ma'am, how r u ma'am? May ALLAH protect u from sadness, illness, harm & nazr-e-bad. AAMEEN. Stay Blessed ma'am. This tweet contains emotions:	love, optimism, sadness
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.	Tweet: I want to be a woman who #overcomes obstacles by tackling them in #faith instead of tiptoeing around them in #fear. Renee Swope Emotion: fear Intensity score:	0.312
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: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #depression #pain This tweet contains emotions:	fear, pessimism, 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: Embarrassing lack of defensive depth coming back to haunt us. This tweet contains emotions:	fear, sadness
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Idk why but this Time around its so hard that it hurts, I already miss them all so much #silly #family #friends Emotion: fear Intensity class:	1: low amount of fear 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: @leener00 @libbyfloyd1 @G_Eazy my snap is andriaprebles ❤️ Emotion: anger Intensity score:	0.271
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: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' Sherlock Holmes Intensity class:	0: neutral or mixed emotional state 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: When u /only/ talk 2 me or ask me 'how r things' just 2 get 2 say something u want, 4give me if I'm not elated 2 start a conversation with u This tweet contains emotions:	anger, disgust, joy
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 heard Movie Bob was furious about the Skittles analogy. He was upset that there wasn't actually any Skittles. This tweet contains emotions:	anger, disgust
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: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #الخفجي Intensity class:	0: neutral or mixed emotional state 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: @HartRamsey #UPLIFT If you're still discouraged it means UR Listening to the wrong voices & looking to the wrong source. Look to the LORD! Emotion: sadness Intensity score:	0.250
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: Could not be happier!! #happy This tweet contains emotions:	joy, love, optimism
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting 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: It's so breezy I love it 🌬️🍃💛 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: GKN so lively as well, mad quick This tweet contains emotions:	joy, optimism
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: Everyday gay panic is STUNNING: I drew 1 guy's att'n to it when he blocked up a toilet stall's cracks w/paper towels. TOTAL INCOMPREHENSION. This tweet contains emotions:	anger, disgust
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @LeKingCoq @MistaAggy @GiovanniiDC The way my blood is boiling, little bastards! Emotion: anger Intensity class:	3: high amount of anger 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: @Cassena13 I know if I wasn't an optimist I would despair. Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: @iamglenn35 the forth character? No... not gleeful enough... This tweet contains emotions:	anticipation, disgust, sadness
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.	Tweet: @1johndes ball watching & Rojo'd header was equally dreadful!! Emotion: fear Intensity score:	0.475
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: Sometimes people leave you halfway through the wood. Do not let it grieve you, no one leaves for good. #youarenotalone #nooneisalone This tweet contains emotions:	optimism, sadness, 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: Bitches aggravate like what inspires you to be the biggest cunt known to man kind? Emotion: anger Intensity score:	0.854
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: i live and die for mchanzo honeymoon crashing and burning the second they move in together Emotion: anger Intensity score:	0.479
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: Lord Jesus, I don’t want to be in prison. I want to be free. Entice my heart with the beauty of Your truth & allow me to rejoice in it. Amen Emotion: joy Intensity class:	0: no joy can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @marthalyssa yep. LOL Emotion: anger Intensity class:	1: low amount of anger 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: Did we miss the fact that #BurkeRamsey swung &hit his sister #JonBenet in the face with a golf club previously out of a fit of ? Emotion: anger Intensity score:	0.417
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: @Delta stuck on runway after being diverted to Fargo. Continuously told just 10 more mins for the past 4 hours. No food/water offered 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: Don't wanna go to work but I want the money #sad Emotion: sadness Intensity class:	3: high 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: @The_Boxing_Hub #klitschko @Klitschko over fury any day #boxing This tweet contains emotions:	anger
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: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor ! Emotion: joy Intensity score:	0.550
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: @TheBarmyArmy looking forward to div 2 next year @AndyBarmyArmy? #leictershireaway #therey Emotion: anger Intensity score:	0.375
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: Star trek online has a update to download oh fuming yay This tweet contains emotions:	anger, disgust, joy, 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: I #rejoice in following your statutes as one rejoices in great riches. -Psalm 119:14 #TheBible Emotion: joy Intensity score:	0.434
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: Positive #psychology research shows salespeople who score in the top 10% for #optimism have 88% > sales than those in top 10% for pessimism. 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: Always borrow money from a pessimist; he doesn't expect to be paid back. This tweet contains emotions:	optimism, pessimism
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: @Its_just_Huong I will beat you !!! Always thought id be gryffindor so this is a whole new world for me 😨😨😨 #excited #afraid Emotion: fear Intensity class:	1: low amount of fear can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: People who go the speed limit irritate me Emotion: anger Intensity score:	0.667
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: After a nervous couple of days test results now confirm my life will be no different whatsoever as the result of two actors divorcing, phew! Emotion: fear Intensity class:	0: no fear 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: #Muslims are the principle victims of #terrorism. More Muslims are dying at the hands of these #terrorists than anyone else. #YounusAlGohar This tweet contains emotions:

fear

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: Love your new show @driverminnie This tweet contains emotions:

joy, love

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: Being #happy means letting go of the clinging and attachment to things in your life. #WednesdayWisdom #life Intensity score:

0.688

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: Fingers crossed I can finish all my work early enough this Friday in time to catch @Raury at LIB 😦 #nervous #timetogrind Emotion: fear Intensity class:

2: moderate amount of fear can be inferred

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

Tweet: Caballero having a nightmare #sweeperkeepernot Intensity score:

0.355

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: @LoisJoanneLane Wagging his tail at the praise, he paused, tilting his head as she took the frisbee from him, letting out a playful - Emotion: joy Intensity class:

2: moderate amount of joy can be inferred

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

Tweet: @PurpleReplisol meden is frowning at you with her non existent face This tweet contains emotions:

anger, disgust

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: @littlepieces Customer services got involved and eventually completely wash their hands of it. #dreamornightmare This tweet contains emotions:

anger, disgust, fear

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

Tweet: Rooney = whipping boy. #mufc Emotion: sadness Intensity score:

0.354

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: I've used Dey Know as my alarm clock song throughout college #RIPShawtyLo Emotion: fear Intensity score:

0.354

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

Tweet: me taking a picture by myself: *awkward smile*\nme on picture day: *awkward smile*\nconclusion: stop smiling ;'(\n#pictureday2016 #smile #ornot Intensity class:

0: neutral or mixed 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: @BartholomewD It's -terrible-! We're going to the local fish/chip place in Kirribilli 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: @steph_baker7 i tried to turn off my alarm this morning and it turned on all my alarms instead 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: @coalese 😂😂😂. Sure half these stars get together,break up,have affairs,let porn vids slip out,fight,ect etc all to up there ratings. #sad 😂 Emotion: sadness Intensity score:

0.458

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: @reinervshunter you got this #staystrong #smile #yourebeautiful Emotion: joy Intensity class:

2: moderate 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: @tweet_faver its reaper!! before he became reaper, you can find their stories on the wiki and thru the comics and animated shorts! Intensity class:

0: neutral or mixed emotional state 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: Recommended reading: Prisoners of Hate by Aaron Beck #anger This tweet contains emotions:

anger

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: @Thatguy_dree @RecklessWonder_ neither one of y'all can see me in this madden This tweet contains emotions:

anger, 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: A delight to be at the Lane tonight and witness the debuts of some young talent that could be the backbone of our club!! #COYS Emotion: joy Intensity score:

0.667

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 get so much PUSSY\nP - panic attacks \nU - uncontrollable anxiety \nS - suicidal fantasies \nS - sadness \nY - yearning for death Emotion: fear Intensity class:

3: high amount of fear can be inferred

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

Tweet: Star trek online has a update to download oh fuming yay This tweet contains emotions:

anger, disgust, joy, sadness

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

Tweet: @makemytripcare but what I am doing is in my control, #AvoidMMT , you guys are Emotion: fear Intensity class:

0: no fear 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: During the day @JeffProbst is jovial. At #TribalCouncil he's a different, darker fellow. Still simply but smiles are few. #Survivor This tweet contains emotions:

joy, optimism

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

Tweet: You forever straight so fix that frown u good😇 @amayyaaag__ Emotion: sadness Intensity class:

0: no sadness 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: Fucking hell. Rush for the damn train also no use. Fucking 4min wait. Still sweating. #smrtruinslives Emotion: anger Intensity score:

0.771

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: @Tjsotomayor snow pig, that's hilarious. Lmaooo This tweet contains emotions:

joy

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: @MacDsmash you should get some @SSB_Swedish delight This tweet contains emotions:

joy, 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: @Mysteri759 @Ren102e906 @slb42jcb @swoozyqyah Well, I'm too old, and too stubborn about facts & history to be discouraged. Emotion: sadness Intensity class:

1: low amount of sadness 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: @xaninaany I'm so serious DM me I'll tell u more This tweet contains emotions:

anticipation, optimism, trust

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: Wrinkles should merely hide where frown have been. - Mark Twain This tweet contains emotions:

anticipation, optimism, trust

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'm so bored and fat and full and ridiculously overweight and rolls galore Emotion: fear Intensity score:

0.417

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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. 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: That's the old me though #imachildofgod #whatistwerking #sober #married #bye Emotion: sadness Intensity score:

0.458

Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: @HillaryClinton @TheDemocrats It's ok 2 be disgusted or dishearten with presidential race but don't let that stop u from voting IT MATTERS Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

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: I took a yr off school and I'm proud to say I got accepted again, yo girl is going to finish! #happy Intensity class:

3: very positive emotional state 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: I dislike people who get offended by the littlest shit . This tweet contains emotions:

anger, disgust

Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.

Tweet: Mary Berry - what's the icing on top of your Bakewell tart? It looks like horrid Mr Kipling, not something Derbyshire would recognise #GBBO Emotion: fear Intensity score:

0.360

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

Tweet: @DamnPatriot You're a POS for rejoicing in someone's death. Intensity score:

0.422

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: Alt-J - Hunger of the pine. Emotion: sadness Intensity class:

0: no sadness can be inferred

Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.

Tweet: Corbyn loses and I walk up to a crying Corbyn supporter and whisper\n\n'Don't mourn. Organise'\n\nAnd laugh and laugh This tweet contains emotions:

joy, optimism, sadness

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

Tweet: Had a great time at Skywalkers open gym tonight! Come our every Wednesday from 7-8 in Hillsboro and train with us! #opengym #cheer #tumbling Emotion: joy Intensity class:

3: high amount of 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: #BridgetJonesBaby is the best thing I've seen in ages! So funny, I've missed Bridget! #love #TeamMark Emotion: joy Intensity class:

3: high amount of 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: @hamzakhawaja99 just die depression. This tweet contains emotions:

pessimism, sadness

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

Tweet: 😳The intensity that @sydneyswans play at is extraordinary #relentless #AFLCatsSwans #AFLFinals 🏉👏🏿 Emotion: anger Intensity class:

0: no anger can be inferred

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

Tweet: .@Travelanswerman: When U ride on a pile of salt life is extra sweet! Always salty always savory! #surfing #aloha #smiling … Emotion: joy Intensity class:

3: high amount of joy 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: How could such a crooked,stuck up,delusional,dim& #dark hearted dud be surprised losing&prob also ppl won't let their crimes drop! #nwo imo Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).

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

0.391

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: It's amazing how something gets stuck in your head, and you can't shake a memory... Sometimes, I miss people a lot. Wish they knew. Emotion: fear Intensity score:

0.583

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: @komaebun He just has that way of thinking, he wants absolute hope born from absolute despair. Emotion: fear Intensity class:

1: low amount of fear 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: @SueWallace78 peanut butter???? You some kinda pervert?? #awful Intensity class:

-3: very negative emotional state can be inferred

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: @tylerhower Covering Milo might make sense—not much, even at that—but celebrating him as puckish is cooperation in something ghastly. Intensity class:

-2: moderately negative emotional state can be inferred

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

Tweet: Think Val might be going this week. I'll have to take the rest of the week off work to mourn. I'm sure they'll understand. #GBBO This tweet contains emotions:

sadness

Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).

Tweet: A liar an a bully for president? They say every vote matter , well I'm sorry you'll not get my vote until the year 2020 Intensity score:

0.328

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: Headed to MDW w/ layover in SLC. Got off for food. Wrong move. Bailed on my food & barely made it. @SouthwestAir #WannaGetAway #Contest Emotion: sadness Intensity score:

0.438

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: #ukedchat A4 Just go outside (or to the gym hall) and play! \n #education #learning 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: When your body says FUCK YOU BITCH, You ain't sleeping\n#sleep #cantsleep #drained #restless Emotion: fear Intensity score:

0.625

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: Candice on great british bake off with that pout does my head in 👊🏻🙄 This tweet contains emotions:

anger, anticipation, optimism, surprise

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: @Ganypede I notice that nice people believe in a nice god and horrid people believe in a horrid god who happens to hate everybody they hate. Intensity score:

0.450

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: Chart music is pretty much ALL the same.. #horrific Emotion: fear Intensity score:

0.375

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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #haunt #kittens This tweet contains emotions:

anticipation, fear, joy

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: @AaronGoodwin seriously dude buy some bubble tape for your phones. #snap broke another phone Emotion: anger Intensity score:

0.458

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: #happiness #recipe: an open mind, #laughter, a kind #heart & Emotion: joy Intensity score:

0.667

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: @Nigerianscamsss @TrillSmith you think I came back to twitter and not ruffle a few bushes? Tuh. Emotion: anger Intensity score:

0.521

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: @BeenishParvez salaams ma'am, how r u ma'am? May ALLAH protect u from sadness, illness, harm & nazr-e-bad. AAMEEN. Stay Blessed ma'am. This tweet contains emotions:

love, optimism, sadness

Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.

Tweet: I want to be a woman who #overcomes obstacles by tackling them in #faith instead of tiptoeing around them in #fear. Renee Swope Emotion: fear Intensity score:

0.312

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: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #depression #pain This tweet contains emotions:

fear, pessimism, 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: Embarrassing lack of defensive depth coming back to haunt us. This tweet contains emotions:

fear, sadness

Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: Idk why but this Time around its so hard that it hurts, I already miss them all so much #silly #family #friends Emotion: fear Intensity class:

1: low amount of fear 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: @leener00 @libbyfloyd1 @G_Eazy my snap is andriaprebles ❤️ Emotion: anger Intensity score:

0.271

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: If I were assured of your eventual destruction I would, in the interests of the public, cheerfully accept my own.' Sherlock Holmes Intensity class:

0: neutral or mixed emotional state 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: When u /only/ talk 2 me or ask me 'how r things' just 2 get 2 say something u want, 4give me if I'm not elated 2 start a conversation with u This tweet contains emotions:

anger, disgust, joy

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 heard Movie Bob was furious about the Skittles analogy. He was upset that there wasn't actually any Skittles. This tweet contains emotions:

anger, disgust

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: TheNiceBot: IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot #الخفجي Intensity class:

0: neutral or mixed emotional state 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: @HartRamsey #UPLIFT If you're still discouraged it means UR Listening to the wrong voices & looking to the wrong source. Look to the LORD! Emotion: sadness Intensity score:

0.250

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: Could not be happier!! #happy This tweet contains emotions:

joy, love, optimism

Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting 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: It's so breezy I love it 🌬️🍃💛 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: GKN so lively as well, mad quick This tweet contains emotions:

joy, optimism

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

Tweet: Everyday gay panic is STUNNING: I drew 1 guy's att'n to it when he blocked up a toilet stall's cracks w/paper towels. TOTAL INCOMPREHENSION. This tweet contains emotions:

anger, disgust

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

Tweet: @LeKingCoq @MistaAggy @GiovanniiDC The way my blood is boiling, little bastards! Emotion: anger Intensity class:

3: high amount of anger 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: @Cassena13 I know if I wasn't an optimist I would despair. Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).

Tweet: @iamglenn35 the forth character? No... not gleeful enough... This tweet contains emotions:

anticipation, disgust, sadness

Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.

Tweet: @1johndes ball watching & Rojo'd header was equally dreadful!! Emotion: fear Intensity score:

0.475

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: Sometimes people leave you halfway through the wood. Do not let it grieve you, no one leaves for good. #youarenotalone #nooneisalone This tweet contains emotions:

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

0.854

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: i live and die for mchanzo honeymoon crashing and burning the second they move in together Emotion: anger Intensity score:

0.479

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: Lord Jesus, I don’t want to be in prison. I want to be free. Entice my heart with the beauty of Your truth & allow me to rejoice in it. Amen Emotion: joy Intensity class:

0: no joy can be inferred

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

Tweet: @marthalyssa yep. LOL Emotion: anger Intensity class:

1: low amount of anger 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: Did we miss the fact that #BurkeRamsey swung &hit his sister #JonBenet in the face with a golf club previously out of a fit of ? Emotion: anger Intensity score:

0.417

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: @Delta stuck on runway after being diverted to Fargo. Continuously told just 10 more mins for the past 4 hours. No food/water offered 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: Don't wanna go to work but I want the money #sad Emotion: sadness Intensity class:

3: high 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: @The_Boxing_Hub #klitschko @Klitschko over fury any day #boxing This tweet contains emotions:

anger

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: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor ! Emotion: joy Intensity score:

0.550

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: @TheBarmyArmy looking forward to div 2 next year @AndyBarmyArmy? #leictershireaway #therey Emotion: anger Intensity score:

0.375

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: Star trek online has a update to download oh fuming yay This tweet contains emotions:

anger, disgust, joy, 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: I #rejoice in following your statutes as one rejoices in great riches. -Psalm 119:14 #TheBible Emotion: joy Intensity score:

0.434

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: Positive #psychology research shows salespeople who score in the top 10% for #optimism have 88% > sales than those in top 10% for pessimism. 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: Always borrow money from a pessimist; he doesn't expect to be paid back. This tweet contains emotions:

optimism, pessimism

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: @Its_just_Huong I will beat you !!! Always thought id be gryffindor so this is a whole new world for me 😨😨😨 #excited #afraid Emotion: fear Intensity class:

1: low amount of fear can be inferred

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

Tweet: People who go the speed limit irritate me Emotion: anger Intensity score:

0.667

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: After a nervous couple of days test results now confirm my life will be no different whatsoever as the result of two actors divorcing, phew! Emotion: fear Intensity class:

0: no fear can be inferred