Holmeister/AAID-clone · Datasets at Hugging Face

instruction stringclasses 50 values	input stringlengths 32 202	output stringlengths 0 55
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).	Tweet: @CP24 And I hope when the police met him at the subway that they took him straight to jail 😕 Intensity score:	0.258
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: Enjoyed seamlessly setting my #alarm using #okgoogle #Nougat. Just tell #Okgoogle what to do and she does it. #PersonalAssistant Emotion: fear Intensity score:	0.208
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: @AuntieSupreme @KimberlyCarole y'all found me to express yalls displeasure. 😉 This tweet contains emotions:	anger, disgust, sadness
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: @KateyKeegan now I'm really excited for November! Hope they're not all horrid chavs though 😅 This tweet contains emotions:	anticipation, fear, joy
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: I don't know what's worse, the new Pizza Hut commercials or the pizza that Pizza Hut makes. 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: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #NoWorkForMe Emotion: anger Intensity score:	0.542
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: @PriceSjrw5614 @Ren102e906 @slb42jcb @swoozyqyah THEN you do what you can and then BLOCK them, they're trying to discourage us Emotion: sadness Intensity class:	1: low amount of sadness 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: @Bridget_Delia @originalaubs omg that's terrible This tweet contains emotions:	anger, disgust, fear, sadness
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: I swear if @devincameron23 blocks me I'm going to hit her back This tweet contains emotions:	anger
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: jesus ok an alarming percentage of my teachers ths year dont have a s ingle thoughtful bone in their bodies . its gonna b an interesting yr This tweet contains emotions:	anger, anticipation, disgust, fear, optimism
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: @serendipity127_ @zombiecalorie @Angel_Eyes66 I'm sensing a theme here tho lol #angry This tweet contains emotions:	anger, disgust, sadness
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor ! Intensity class:	1: slightly positive emotional state can be inferred
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @RevTrevK @Wolfman93011 @Daraidernation @EROCKhd Take 2k out of it the numbers on madden are low and have dropped and people are unhappy Emotion: sadness Intensity class:	2: moderate 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: @RogueFatale Oh, you insult me! What, you think just because I look like this, I'm psycho? I'm more sane than most Gotham freaks... This tweet contains emotions:	anger
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: @delhi_lawyer @BhagwanUvach @ShivAroor sad . This is not film story. Who knows could be ploy to escalate tension. Unverified report no hype 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: @lilymacintyre_ she was my favourite such a joyful soul This tweet contains emotions:	joy, love, optimism
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: @JustinTrudeau opened doors to terrorism and he will pay for it. @CP24 @globalnewsto This tweet contains emotions:	anger, disgust, fear
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: @simmy_hanley @Schrise also a Emotion: joy Intensity score:	0.340
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: I told myself i wouldn't talk about this but i need to bring it up. I'm slightly bitter about the tøp cover of cancer Emotion: anger Intensity score:	0.604
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: @BreezyWeekes hey breezy, you wanna give me some of that coffee you posted on your snap?? please Emotion: joy Intensity class:	0: no joy 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: Nurse practitioner: 'you look pretty bad. No offense of course.' \n\nThank you, that really added that spark of positivity I needed today. This tweet contains emotions:	anger, 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: @CPPSmeofficial tiff. 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: @jbanks88 offense can't score 3 redzone trips no points n lbs can't pull flags n i missed a flag that lead to a td dat took da league Emotion: anger Intensity class:	1: low amount of anger can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @WWE is the live event Brock vs Orton 2 this Saturday on the WWE Network? If not it needs to be! :) #wwe @RandyOrton @HeymanHustle #revenge Emotion: anger Intensity class:	1: low amount of anger 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: Feels grim not having your nails done Emotion: sadness Intensity score:	0.542
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: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts This tweet contains emotions:	anger, disgust, sadness
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: Finn singing 'Can't Fight This Feeling' in the shower and Will spying on him is one of the best scenes on any show. Emotion: joy Intensity score:	0.560
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: Well i did hear once before that girls are attracted to men that look like their dad! 👌 Emotion: sadness Intensity score:	0.250
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: Watch this amazing live.ly broadcast by @evanhufferd #lively #musically This tweet contains emotions:	joy, love, optimism
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).	Tweet: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO #bitter Intensity score:	0.250
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: @xOffWithMyHeadx They've officially said all the episodes left (so future 12 and despair 11 and 12) will be delayed. Emotion: sadness Intensity class:	1: low 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: My irritation level is at an all time high today 🙃 Intensity class:	-3: very negative emotional state can be inferred
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.	Tweet: No #gbbo from us tonight sadly, we've got a date with some nachos @ODEONCinemas #BridgetJonesBaby Emotion: sadness Intensity score:	0.438
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: When something makes you excited, terrified, thrilled, nervous, elated & like you've been kicked in the guts all at once. Need word for that This tweet contains emotions:	anticipation, fear, joy
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati Emotion: fear Intensity class:	0: no fear can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @FluDino Event started! everyone is getting ready to travel to the lake of rage, where everything glows Emotion: anger Intensity class:	2: moderate amount of anger 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: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too Emotion: anger Intensity score:	0.562
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).	Tweet: #Followback Quote_Soup: Be happy not because everything is good, but because you can see the good side of everything. Intensity score:	0.500
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: That was a fast response madrid.....Zidane threaten unuh Emotion: fear Intensity class:	0: no fear can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: Go help the [email protected]. #recovery #sober #addiction This tweet contains emotions:	anticipation, optimism, sadness
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: Will WHU be old bill free by the time the game with Chelsea comes around? 😂 😂 😂\nThat will be lively to say the least\n#AFC Intensity class:	3: very positive emotional state can be inferred
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @arppaul @chetanlfc @mannkakhiladi @dey_spandan @umeroffcial Comparing Akshay Sir with this zandu balm is an insult to Akshay Sir. Emotion: anger Intensity class:	2: moderate amount of 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: As your own lives in order to complete our amazing life journey successfully, it is there. #bitter Emotion: anger Intensity score:	0.417
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: Are you serious?? This tweet contains emotions:	disgust, 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: @mikefreemanNFL \nIsn't OBrien supposed to be some sort of offensive genius This tweet contains emotions:	anger, anticipation, disgust, pessimism
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: @EtherealMystic_ She was winning this war that had been raging on inside of his mind. The desire and love all rolling into something he - Emotion: anger Intensity score:	0.333
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: PASTOR - 15 FEET away from shooting victim during protest says he is skeptical of official story. #CharlotteProtest #CharlotteRiot This tweet contains emotions:	anticipation, fear
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: Can't start a good day without a cup of tea! \n\n #tea #day #goodday Emotion: fear Intensity score:	0.146
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: @Megannn_walsh12 @itsshelleeey never said that,Just not fair how Yous think it's completely okay to bully someone Emotion: fear Intensity score:	0.646
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: 3 #tmobile #stores, #original #note7 #customer and zero #results... What's going on guys? #customerservice #2hour #waittime 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: An @amityaffliction kind of drive home from work today #nightmare #dailyfeels Emotion: fear Intensity class:	2: moderate amount of 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: So you're unhappy? Emotion: sadness Intensity class:	1: low amount of sadness 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: @AldiToHarrods I'm still too nervous to try it. I need to man up and give it ago. Emotion: fear Intensity class:	2: moderate 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: @grahnort wonderful experience watching you yesterday at. @BBCLetItShine thankyou for the #laughter Emotion: joy Intensity score:	0.872
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: Circle K is dead to me. I hate your new slushie machine. #irate #livid Emotion: anger Intensity score:	0.833
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: Pochettino buoyant. Complimentary about his young players. But says 'now our attention turns to Middlesbrough'. #THFC @BBCLondonSport Emotion: joy Intensity score:	0.380
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: @DailyMailCeleb @KTHopkins Katie I love how you describe yourself as 'normal'. Really you're anything but! #neverchange Emotion: joy Intensity class:	1: low amount of 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: Never let me see you frown Emotion: sadness Intensity score:	0.312
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: New job training= too much meat eating! Oh well. Also- got approved to drive for Lyft! Just need a car... #day35 #sober This tweet contains emotions:	anticipation, joy, 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: Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️ This tweet contains emotions:	pessimism, 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: Happy 69th @StephenKing! May u keep haunting us for many years. #writing Emotion: fear Intensity score:	0.208
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: @barbarasgarden Thank you oh so much. There are many challenges but much rejoicing! ✨ Emotion: joy Intensity class:	3: high amount of joy 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: @WDWNT #spooky night at #disney #fortwilderness campground #disneyworld #powerfailure #dark Emotion: sadness Intensity score:	0.458
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: @Rovers what highlights ? I would imagine you will only have 30 seconds of highlights for the whole season so far . #venkysout Emotion: fear Intensity score:	0.333
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: im 16 if you want to see my dick snap/kik me at hiya2247 😘 #kik #kikme #snapchat #snapme #horny #porn #naked #young Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.	Tweet: When my 4yo is gone I blast gothcore music. She has #anxiety & I can't listen 2 it around her bcuz it's 'too spooky'. sigh #momlife This tweet contains emotions:	fear, 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: @UCSMindfulness thank u so much! we just finished another #mindfulness film called #release about #anxiety - plz share! Emotion: fear Intensity score:	0.375
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: @ErinAndrews I ❤️you on DWTS You make my night every show! 😘 #hilarious Emotion: joy Intensity class:	3: high amount of joy 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: @Uber_RSA when you click over and over again for a cupcake but there are no vehicles available... #sadness Emotion: sadness Intensity class:	3: high amount of sadness can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: 🔥💁🏼- its lit having a class with you!!! Your such a great person and good at cheer!! Emotion: joy Intensity class:	3: high amount of joy 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: It's the #FirstDayofFall and I'm so happy. Sipping my #PumpkinSpice flavored coffee and #smiling! Happy Fall everyone! #amwriting This tweet contains emotions:	joy, love, optimism
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: Learning to trust God can quiet a troubled & restless heart, bring peace to a weary soul, & eliminate the hopelessness that #addiction is! Intensity class:	1: slightly positive emotional state can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.	Tweet: I freaking hate working with #word on my phone #rage #write #writing #writerslife #writerproblems #writer This tweet contains emotions:	anger, disgust, 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: @wenniss are you cheering for team Sweden today or team North American? This tweet contains emotions:	anticipation, trust
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: Fellaini has been playing ahead of this guy...just let that sink in This tweet contains emotions:	anticipation, sadness
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: Seeing huge or really full backpacks on people fills me with anxiety Emotion: fear Intensity score:	0.830
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: second episode of AHS 6 here i go Emotion: fear Intensity score:	0.292
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: I shower to lay in bed for about an hour then dread wearing pants for the remainder of the day Emotion: fear Intensity class:	0: no fear can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: @JackEvans711, you are the best Whiney Jerkass Heel since @IAmJericho's heyday in WCW. \n #LuchaUnderground This tweet contains emotions:	anticipation, joy, love, optimism
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.	Tweet: The terror threat level really need to be raised Emotion: fear Intensity score:	0.812
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: They tend to loosen up a bit when drunk, and can seem pretty cheerful. Intensity class:	1: slightly positive emotional state can be inferred
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.	Tweet: @wrexham I've joined holidog, paw shake and tailster and have one regular customer I just love it 🙈🙈haha @EmilyHD26 @ellshd Emotion: fear Intensity score:	0.208
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: @TheJonFedor @abdophoto My main hesitation to going to the Plus size. But if Apple can get the Plus to the 6 size, think of the ASP jump This tweet contains emotions:	anticipation, 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: Watch this amazing live.ly broadcast by @swagrman_fan #lively #musically Emotion: joy Intensity score:	0.481
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.	Tweet: “The immense importance of football is sometimes scary. When you don’t win you are responsible for so many unhappy people.” - Arsene Wenger Emotion: sadness Intensity score:	0.396
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: Too fucking playful Emotion: joy Intensity class:	0: no joy 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: can only blame Jose ere why would you give Rojo another start after Sunday , fucking disaster waiting to happen & it did shocking header ! Emotion: fear Intensity score:	0.583
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: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious This tweet contains emotions:	anticipation, joy, optimism
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: @jbiggy13 @ToneCapone111 ya and the d was what I was most confident about..... our offense is as good as it's been in 20 years...our d sucks This tweet contains emotions:	anger, disgust
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: @rosalarian i hate post con blues! But i avoided the plague too yay!! Yay constant hand sanitizer!!! Intensity class:	0: neutral or mixed emotional state 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: RE: #politicallycorrect #BS What if I am #offended by your assumption the USA should change because you are a 'visitor' & don't like it? Emotion: anger Intensity class:	2: moderate amount of anger 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: All i want to do is to be successful, be cheerful and to be happy with @DominicHussein This tweet contains emotions:	joy, love, optimism
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: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO Intensity score:	0.703
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: @lmench i'm actually offended by it. naming the most fattening sandwich after a man who died of coronary disease likely due to his diet? Emotion: anger Intensity score:	0.625
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: 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 score:	0.385
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: stg I been in pine bluff all morning and to piss me off even more, my damn shoes came in as a size 4!!!!!! I KNOW I SAID 6🙄🙄🙄🙄 FML Emotion: sadness 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: I don't know why everyone is pretending to be sad about angelina and brad, everyone knows his dumb ass should've stayed with jennifer. Emotion: sadness Intensity class:	0: no 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: @johnwintertweet dudes who wanna play some bass but not buy a bass (me) rejoice 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: Someone set off the fire alarm and I'm so angry because I was in the middle of moisturizing my elbows Emotion: fear Intensity class:	0: no fear can be inferred
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: I Don't know what make #Pakistan fear more their #terrorist or their #terrorism #TerrorStatePak Intensity class:	-2: moderately negative emotional state can be inferred

Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).

Tweet: @CP24 And I hope when the police met him at the subway that they took him straight to jail 😕 Intensity score:

0.258

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: Enjoyed seamlessly setting my #alarm using #okgoogle #Nougat. Just tell #Okgoogle what to do and she does it. #PersonalAssistant Emotion: fear Intensity score:

0.208

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: @AuntieSupreme @KimberlyCarole y'all found me to express yalls displeasure. 😉 This tweet contains emotions:

anger, disgust, sadness

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: @KateyKeegan now I'm really excited for November! Hope they're not all horrid chavs though 😅 This tweet contains emotions:

anticipation, fear, joy

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

Tweet: I don't know what's worse, the new Pizza Hut commercials or the pizza that Pizza Hut makes. 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: Losing the will 2 live with @virginmedia business bb gone down on hold for 23 minutes & whoever picked up cut me off #NoWorkForMe Emotion: anger Intensity score:

0.542

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: @PriceSjrw5614 @Ren102e906 @slb42jcb @swoozyqyah THEN you do what you can and then BLOCK them, they're trying to discourage us Emotion: sadness Intensity class:

1: low amount of sadness 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: @Bridget_Delia @originalaubs omg that's terrible This tweet contains emotions:

anger, disgust, fear, sadness

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: I swear if @devincameron23 blocks me I'm going to hit her back This tweet contains emotions:

anger

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: jesus ok an alarming percentage of my teachers ths year dont have a s ingle thoughtful bone in their bodies . its gonna b an interesting yr This tweet contains emotions:

anger, anticipation, disgust, fear, optimism

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: @serendipity127_ @zombiecalorie @Angel_Eyes66 I'm sensing a theme here tho lol #angry This tweet contains emotions:

anger, disgust, sadness

Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor ! Intensity class:

1: slightly positive emotional state can be inferred

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

Tweet: @RevTrevK @Wolfman93011 @Daraidernation @EROCKhd Take 2k out of it the numbers on madden are low and have dropped and people are unhappy Emotion: sadness Intensity class:

2: moderate 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: @RogueFatale Oh, you insult me! What, you think just because I look like this, I'm psycho? I'm more sane than most Gotham freaks... This tweet contains emotions:

anger

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: @delhi_lawyer @BhagwanUvach @ShivAroor sad . This is not film story. Who knows could be ploy to escalate tension. Unverified report no hype 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: @lilymacintyre_ she was my favourite such a joyful soul This tweet contains emotions:

joy, love, optimism

Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.

Tweet: @JustinTrudeau opened doors to terrorism and he will pay for it. @CP24 @globalnewsto This tweet contains emotions:

anger, disgust, fear

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: @simmy_hanley @Schrise also a Emotion: joy Intensity score:

0.340

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: I told myself i wouldn't talk about this but i need to bring it up. I'm slightly bitter about the tøp cover of cancer Emotion: anger Intensity score:

0.604

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: @BreezyWeekes hey breezy, you wanna give me some of that coffee you posted on your snap?? please Emotion: joy Intensity class:

0: no joy 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: Nurse practitioner: 'you look pretty bad. No offense of course.' \n\nThank you, that really added that spark of positivity I needed today. This tweet contains emotions:

anger, 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: @CPPSmeofficial tiff. 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: @jbanks88 offense can't score 3 redzone trips no points n lbs can't pull flags n i missed a flag that lead to a td dat took da league Emotion: anger Intensity class:

1: low amount of anger can be inferred

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

Tweet: @WWE is the live event Brock vs Orton 2 this Saturday on the WWE Network? If not it needs to be! :) #wwe @RandyOrton @HeymanHustle #revenge Emotion: anger Intensity class:

1: low amount of anger 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: Feels grim not having your nails done Emotion: sadness Intensity score:

0.542

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: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts This tweet contains emotions:

anger, disgust, sadness

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: Finn singing 'Can't Fight This Feeling' in the shower and Will spying on him is one of the best scenes on any show. Emotion: joy Intensity score:

0.560

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

Tweet: Well i did hear once before that girls are attracted to men that look like their dad! 👌 Emotion: sadness Intensity score:

0.250

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: Watch this amazing live.ly broadcast by @evanhufferd #lively #musically This tweet contains emotions:

joy, love, optimism

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

Tweet: @coltonflurry @StrangeFacesLA I cancelled by CBS all access live feeds before JC even said Vic won AFP. Paul.should have won IMO #bitter Intensity score:

0.250

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: @xOffWithMyHeadx They've officially said all the episodes left (so future 12 and despair 11 and 12) will be delayed. Emotion: sadness Intensity class:

1: low 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: My irritation level is at an all time high today 🙃 Intensity class:

-3: very negative emotional state can be inferred

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

Tweet: No #gbbo from us tonight sadly, we've got a date with some nachos @ODEONCinemas #BridgetJonesBaby Emotion: sadness Intensity score:

0.438

Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.

Tweet: When something makes you excited, terrified, thrilled, nervous, elated & like you've been kicked in the guts all at once. Need word for that This tweet contains emotions:

anticipation, fear, joy

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

Tweet: The more videos @PanicAtTheDisco post, the more i am convinced i might should not have done that #Brendonati Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: @FluDino Event started! everyone is getting ready to travel to the lake of rage, where everything glows Emotion: anger Intensity class:

2: moderate amount of anger 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: @LynneGarrison yeah, I've only seen that floated online as a theory, it was probably made up by a bitter stan. I ignore pets v vets crap too Emotion: anger Intensity score:

0.562

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

Tweet: #Followback Quote_Soup: Be happy not because everything is good, but because you can see the good side of everything. Intensity score:

0.500

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: That was a fast response madrid.....Zidane threaten unuh Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: Go help the [email protected]. #recovery #sober #addiction This tweet contains emotions:

anticipation, optimism, sadness

Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

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

3: very positive emotional state can be inferred

Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: @arppaul @chetanlfc @mannkakhiladi @dey_spandan @umeroffcial Comparing Akshay Sir with this zandu balm is an insult to Akshay Sir. Emotion: anger Intensity class:

2: moderate amount of 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: As your own lives in order to complete our amazing life journey successfully, it is there. #bitter Emotion: anger Intensity score:

0.417

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: Are you serious?? This tweet contains emotions:

disgust, 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: @mikefreemanNFL \nIsn't OBrien supposed to be some sort of offensive genius This tweet contains emotions:

anger, anticipation, disgust, pessimism

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: @EtherealMystic_ She was winning this war that had been raging on inside of his mind. The desire and love all rolling into something he - Emotion: anger Intensity score:

0.333

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: PASTOR - 15 FEET away from shooting victim during protest says he is skeptical of official story. #CharlotteProtest #CharlotteRiot This tweet contains emotions:

anticipation, fear

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: Can't start a good day without a cup of tea! \n\n #tea #day #goodday Emotion: fear Intensity score:

0.146

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: @Megannn_walsh12 @itsshelleeey never said that,Just not fair how Yous think it's completely okay to bully someone Emotion: fear Intensity score:

0.646

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: 3 #tmobile #stores, #original #note7 #customer and zero #results... What's going on guys? #customerservice #2hour #waittime 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: An @amityaffliction kind of drive home from work today #nightmare #dailyfeels Emotion: fear Intensity class:

2: moderate amount of 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: So you're unhappy? Emotion: sadness Intensity class:

1: low amount of sadness 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: @AldiToHarrods I'm still too nervous to try it. I need to man up and give it ago. Emotion: fear Intensity class:

2: moderate 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: @grahnort wonderful experience watching you yesterday at. @BBCLetItShine thankyou for the #laughter Emotion: joy Intensity score:

0.872

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: Circle K is dead to me. I hate your new slushie machine. #irate #livid Emotion: anger Intensity score:

0.833

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: Pochettino buoyant. Complimentary about his young players. But says 'now our attention turns to Middlesbrough'. #THFC @BBCLondonSport Emotion: joy Intensity score:

0.380

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: @DailyMailCeleb @KTHopkins Katie I love how you describe yourself as 'normal'. Really you're anything but! #neverchange Emotion: joy Intensity class:

1: low amount of 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: Never let me see you frown Emotion: sadness Intensity score:

0.312

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: New job training= too much meat eating! Oh well. Also- got approved to drive for Lyft! Just need a car... #day35 #sober This tweet contains emotions:

anticipation, joy, 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: Being at the airport is so depressing.. watching all the loved up couples and cute people coming off holiday,too cute..hurry up November ✈️ This tweet contains emotions:

pessimism, 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: Happy 69th @StephenKing! May u keep haunting us for many years. #writing Emotion: fear Intensity score:

0.208

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: @barbarasgarden Thank you oh so much. There are many challenges but much rejoicing! ✨ Emotion: joy Intensity class:

3: high amount of joy 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: @WDWNT #spooky night at #disney #fortwilderness campground #disneyworld #powerfailure #dark Emotion: sadness Intensity score:

0.458

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: @Rovers what highlights ? I would imagine you will only have 30 seconds of highlights for the whole season so far . #venkysout Emotion: fear Intensity score:

0.333

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: im 16 if you want to see my dick snap/kik me at hiya2247 😘 #kik #kikme #snapchat #snapme #horny #porn #naked #young Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

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

Tweet: When my 4yo is gone I blast gothcore music. She has #anxiety & I can't listen 2 it around her bcuz it's 'too spooky'. *sigh* #momlife This tweet contains emotions:

fear, 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: @UCSMindfulness thank u so much! we just finished another #mindfulness film called #release about #anxiety - plz share! Emotion: fear Intensity score:

0.375

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: @ErinAndrews I ❤️you on DWTS You make my night every show! 😘 #hilarious Emotion: joy Intensity class:

3: high amount of joy 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: @Uber_RSA when you click over and over again for a cupcake but there are no vehicles available... #sadness Emotion: sadness Intensity class:

3: high amount of sadness can be inferred

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

Tweet: 🔥💁🏼- its lit having a class with you!!! Your such a great person and good at cheer!! Emotion: joy Intensity class:

3: high amount of joy 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: It's the #FirstDayofFall and I'm so happy. Sipping my #PumpkinSpice flavored coffee and #smiling! Happy Fall everyone! #amwriting This tweet contains emotions:

joy, love, optimism

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: Learning to trust God can quiet a troubled & restless heart, bring peace to a weary soul, & eliminate the hopelessness that #addiction is! Intensity class:

1: slightly positive emotional state can be inferred

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

Tweet: I freaking hate working with #word on my phone #rage #write #writing #writerslife #writerproblems #writer This tweet contains emotions:

anger, disgust, 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: @wenniss are you cheering for team Sweden today or team North American? This tweet contains emotions:

anticipation, trust

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: Fellaini has been playing ahead of this guy...just let that sink in This tweet contains emotions:

anticipation, sadness

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: Seeing huge or really full backpacks on people fills me with anxiety Emotion: fear Intensity score:

0.830

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: second episode of AHS 6 here i go Emotion: fear Intensity score:

0.292

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: I shower to lay in bed for about an hour then dread wearing pants for the remainder of the day Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: @JackEvans711, you are the best Whiney Jerkass Heel since @IAmJericho's heyday in WCW. \n #LuchaUnderground This tweet contains emotions:

anticipation, joy, love, optimism

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

Tweet: The terror threat level really need to be raised Emotion: fear Intensity score:

0.812

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: They tend to loosen up a bit when drunk, and can seem pretty cheerful. Intensity class:

1: slightly positive emotional state can be inferred

Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.

Tweet: @wrexham I've joined holidog, paw shake and tailster and have one regular customer I just love it 🙈🙈haha @EmilyHD26 @ellshd Emotion: fear Intensity score:

0.208

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: @TheJonFedor @abdophoto My main hesitation to going to the Plus size. But if Apple can get the Plus to the 6 size, think of the ASP jump This tweet contains emotions:

anticipation, 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: Watch this amazing live.ly broadcast by @swagrman_fan #lively #musically Emotion: joy Intensity score:

0.481

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

Tweet: “The immense importance of football is sometimes scary. When you don’t win you are responsible for so many unhappy people.” - Arsene Wenger Emotion: sadness Intensity score:

0.396

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: Too fucking playful Emotion: joy Intensity class:

0: no joy 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: can only blame Jose ere why would you give Rojo another start after Sunday , fucking disaster waiting to happen & it did shocking header ! Emotion: fear Intensity score:

0.583

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: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious This tweet contains emotions:

anticipation, joy, optimism

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: @jbiggy13 @ToneCapone111 ya and the d was what I was most confident about..... our offense is as good as it's been in 20 years...our d sucks This tweet contains emotions:

anger, disgust

Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: @rosalarian i hate post con blues! But i avoided the plague too yay!! Yay constant hand sanitizer!!! Intensity class:

0: neutral or mixed emotional state 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: RE: #politicallycorrect #BS What if I am #offended by your assumption the USA should change because you are a 'visitor' & don't like it? Emotion: anger Intensity class:

2: moderate amount of anger 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: All i want to do is to be successful, be cheerful and to be happy with @DominicHussein This tweet contains emotions:

joy, love, optimism

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: It's better to be wetter than it is dry' - @RLevin91 certainly found that hilarious #GBBO Intensity score:

0.703

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: @lmench i'm actually offended by it. naming the most fattening sandwich after a man who died of coronary disease likely due to his diet? Emotion: anger Intensity score:

0.625

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: 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 score:

0.385

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: stg I been in pine bluff all morning and to piss me off even more, my damn shoes came in as a size 4!!!!!! I KNOW I SAID 6🙄🙄🙄🙄 FML Emotion: sadness 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: I don't know why everyone is pretending to be sad about angelina and brad, everyone knows his dumb ass should've stayed with jennifer. Emotion: sadness Intensity class:

0: no 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: @johnwintertweet dudes who wanna play some bass but not buy a bass (me) rejoice 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: Someone set off the fire alarm and I'm so angry because I was in the middle of moisturizing my elbows Emotion: fear Intensity class:

0: no fear can be inferred

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: I Don't know what make #Pakistan fear more their #terrorist or their #terrorism #TerrorStatePak Intensity class:

-2: moderately negative emotional state can be inferred