Holmeister/AAID-clone · Datasets at Hugging Face

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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: mmmm i'm kinda sad i hope i can shake this before school Emotion: fear Intensity class:	1: low amount of fear can be inferred
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.	Tweet: @UNHumanRights @UNDP_Pakistan wat an irony? #Pakistan lecturing the world on curbing This tweet contains emotions:	anger, disgust
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: @girlsreallyrule Both Trump + King are relentless self-promoters who don't give a rip about anyone else. A perfect match for both Donalds. This tweet contains emotions:	anger, disgust
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: Crossword puzzle is oat meals solitary respecting the flat out portentous nutrient rootstock re scruple failur... Emotion: fear Intensity score:	0.375
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: Im kind of confused. The one thing i do right now has a great future, but on the other hand so does the new thing . #lost #needhelp Emotion: sadness Intensity class:	2: moderate 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: I'm just a fuming ball of anger today 🙃 Emotion: anger Intensity class:	3: high amount of anger can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @komal_sidhnani true...\nThey r burning with other's pleasure!\nPpl in true love happiness everywhere _😃 Emotion: anger Intensity class:	0: no anger can be inferred
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: everyone hates twice, and i kinda did too but they got bops i'm bumping rn to cheer up Emotion: joy Intensity class:	0: no joy can be inferred
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.	Tweet: @KennyCoble @Rosie these horrific situations will only get worse if trump is elected. vote Hillary. This tweet contains emotions:	fear
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 think they may be Emotion: anger Intensity class:	0: no 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: @camilluddington the fact that YOURE nervous makes me want to crawl in a hole This tweet contains emotions:	disgust, fear
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).	Tweet: On the bright side with YouTube heroes leafy will finally get banned Intensity score:	0.484
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: @colmjoconnor well it was after my heyday too I'm afraid, I was expecting 1st baby I reckon. Now aged 15 gulps I'm so old :-) Emotion: joy Intensity class:	0: no joy can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: Don't be offended,\nI'm just doing something that,\nGives your life more hurts.\n\n#haikuchallenge #offend #poetry Emotion: anger Intensity score:	0.625
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: Be free and open and breezy! Enjoy! Things won't get any better so get used to it. Emotion: joy Intensity class:	0: no 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: @MCHorseFayse @bockaguyjim @generalgoodsman @nevernotdavid so you were owned by losers on Twitter Emotion: sadness Intensity score:	0.542
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: @SkyUK what a joke!! Cut our internet off early 'by mistake' and then don't reinstate it when we no longer need an engineer 😡 This tweet contains emotions:	anger, disgust, sadness
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: That is at least the 3rd time the balls been burst in our games This tweet contains emotions:	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: The #Texans should never play a prime time game again...this is #TNF Emotion: fear Intensity class:	0: no fear can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: gifs on iOS10 messaging app are hilarious. This tweet contains emotions:	joy, surprise
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: Forgot to plug the phone in overnight #nightmare Emotion: fear Intensity score:	0.542
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: @teenageic0n_ you'll be pleased to know my family are blues This tweet contains emotions:	anticipation, joy, optimism, surprise
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: Fast and furious 6 this Monday 10 pm on mbc 2 😍😍😍😍😍😍😍 Emotion: anger Intensity class:	0: no anger can be inferred
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: In the name of our Lord & Saviour Harambe we pray, bless all apes across the world.\n\nHear our solemn oaths and pardon sympathetic hominids. Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.	Tweet: sav tells our mom 'I love you' and she responds 'Oh.' Emotion: sadness Intensity score:	0.417
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon Emotion: joy Intensity class:	0: no 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: You head north and arrive at a breezy cave. It smells sweet. You glance at your watch; you're running 15 minutes late. 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: (whisper) I cannot frown. Emotion: sadness Intensity class:	0: no 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: Leveled at the half. Much better offense expected in the second half Emotion: anger Intensity class:	0: no 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: Nothing worse than an uber driver that can't drive. #awful Emotion: fear Intensity class:	2: moderate amount of fear can be inferred
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: @MissFushiGaming I hashtag things and the kids always tell me to stop 😭😭😭😭😭 #sadness Emotion: sadness Intensity score:	0.625
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive).	Tweet: @globemartyk 'drunken patroons' make this whole situation much more jovial though. Intensity score:	0.532
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: Shoutout to the drunk man on the bus who pissed in a bottle and on the seats Emotion: sadness Intensity score:	0.436
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: @KodieBurch yesss..apparently you've been popular on snap 🙄 Emotion: anger Intensity score:	0.333
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: It was very hard to stifle my laughter after I overheard this comment. It really is amazing in the worst ways. Intensity class:	1: slightly positive emotional state can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.	Tweet: @Dolla_DeLotta They wanna bully the Inhuman. Emotion: fear Intensity score:	0.375
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: By the way, I'm wearing the smile you gave me today. \n #you #me This tweet contains emotions:	joy, love, optimism, trust
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: Good morning.Let's start with a smile!\nLet's enjoy life in a cheerful way!\nDon't worry be happy! Emotion: joy Intensity class:	3: high amount of joy can be inferred
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: @IMKristenBell @lauralittlelegs pine nut.... Chestnut....peanut....wait... Wrong film This tweet contains emotions:	sadness
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.	Tweet: @carlybigelow13 first you take the room now you wanna beat me up Emotion: fear Intensity score:	0.412
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: I'm so nervous This tweet contains emotions:	fear
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: Ladies and gentlemen\nAfter the tremendous success of #PanamaLeaks\nNow presenting #BahamasLeaks 😂 Emotion: fear Intensity score:	0.229
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: Heart heavy for lost furry family members. Remembering Max and Ozzie. Forever friends as 🐶😇 This tweet contains emotions:	sadness
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.	Tweet: Does anyone remember a movie that is animated in the late 70's called Shame of the Jungle John Bulushi was in it wild if that's your taste This tweet contains emotions:	anticipation, joy, love
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: Be happy. Be who you want to be. If others don't like it, then let them be. Happiness is a choice. Life isn't about pleasing everybody.... Emotion: joy Intensity class:	1: low 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: 😂 - youre one of those whod bully me omg but it was all banter and we could laugh at it later haha. Youre a nice guy x This tweet contains emotions:	joy, optimism, trust
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: wonder if at any point #BobMarley ever actually became #afraid of just how #high he'd gotten. :o #420 Emotion: fear Intensity class:	0: no fear can be inferred
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: I HATE little girls 😡😡 got a lot off growing up to do!!! #fuming Intensity class:	-3: very negative 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: Connivers blind to existential fury Emotion: anger Intensity score:	0.542
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: @JohnGDryden Gud morning sir,,keep smiling! Emotion: joy Intensity score:	0.840
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: Chick told me I look like Childish Gambino. #insult or #compliment 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: When someone rudely says all women should have long hair and your inner feminist tries not to rage This tweet contains emotions:	anger, disgust
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: @realDonaldTrump negative campaign of doom and gloom don't win elections Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @metalAndTheGeek @astoldbyfANGIRL SAME! I always say it was the best time of my life. I closed my store down and it was so depressing Emotion: sadness Intensity class:	3: high 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: also other ppl who i love a whole damn lot; erica, joanna, tiff, sirli, harley, anja, (the rest of the gc bc i ran out of chara!) This tweet contains emotions:	joy, love, optimism
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.	Tweet: @STLouis_RamsFan their whole team is limited when they're on the field. Emotion: fear Intensity score:	0.292
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: @DDogsScout 'Oh!' Almost with odd cheerfulness, Big Boss offers: 'Muzzle flash blinding. Accidental by the guy who became my best friend.' This tweet contains emotions:	anger, disgust, joy, optimism
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: @economictimes World knows #Pakistan is an epicentre of #terror. The #pakistan speech in UN has define their agenda This tweet contains emotions:	anger, disgust, fear, sadness
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: Yo this 3 v 3 overtime in hockey got me sweaty damn this ish exhilarating This tweet contains emotions:	anger, disgust, joy
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: 😩😩😩😩 heads melted, very tired but can't sleep. Emotion: fear Intensity score:	0.750
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).	Tweet: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. #outrage Intensity score:	0.100
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: y'all shabazz's name in my phone is 'easy breezy beautiful' & I will not apologize. 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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #haunt #kittens Emotion: fear Intensity score:	0.312
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 majority of people irritate the fuck out of me, cba with people ahahah Emotion: anger Intensity class:	3: high amount of anger 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: Thanks for making our Mass with Fr. Vallely respectful, meaningful, and joyful @ACSSCrusader @AssumptionHCDSB ! #SeeWithEyesOfMercy Emotion: joy Intensity score:	0.720
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: @darcomafloy OMG IM CRYING HAHAHAHA ikaw talaga tagagising ko HAHA shet i set my alarm BUT I FORGOT TO TURN IT ON but im awake now so-- This tweet contains emotions:	joy, sadness, surprise
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: Love is when all your happiness and all your sadness and all your feelings are dependent on another person. Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: When the sadness leaves you broken in your bed, I will hold you in the depths of your despair, and it's all in the name of love 🎶 Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.	Tweet: I saw someone discourage someone from following their dreams. Just because you want to live in mediocrity doesn't mean someone else should. Emotion: sadness Intensity score:	0.479
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).	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 score:	0.914
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: Nor hell a fury like a woman scorned -- William Congreve This tweet contains emotions:	anger, fear
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: @eehbahmum WHY?! Did they want to make you plummet in to the depths of despair?? This tweet contains emotions:	anger, disgust, sadness
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @cristinalaila1 just when I thought this disgusting man couldn't sink any lower-like Hillary he his depravity of character has no bottom Emotion: sadness Intensity class:	2: moderate 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: Finally have all my braces on and I can't stop smiling 😊😊😊😊😊 Emotion: joy Intensity class:	3: high amount of joy 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: And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt Emotion: anger Intensity class:	1: low 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: @alicemazzy he was more partisan on social issues a few years back; now he just concern trolls the center left as Chait does the far left Emotion: fear Intensity score:	0.354
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @FlannelJedi This is why I drink and watch You're the Worst as a way to cheer myself up. Emotion: joy Intensity score:	0.292
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: its been ages since ive had shawarma my stomach is #rejoicing Emotion: joy Intensity score:	0.606
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: @Freepenalties @TMortimerFtbl Doll is a vile creature on the touchline. Every game he has tantrums & shouts at the ref. Would love to see Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: Omg I actually thought she was going to jump. #SouthPark20 #southpark Intensity class:	-2: moderately negative emotional state 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: @TVsCarlKinsella They're such garbage. Obviously I like that they suck but it's still grim to watch. Emotion: sadness Intensity score:	0.542
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: @thomeagle Just to help maintain and boost our status as a world class centre for education, culture and tolerance. This tweet contains emotions:	anticipation, optimism
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).	Tweet: @JackCurryYES he's just lucky...bad pitchers...#WHATEVER...ElKracken is #legit #future #bright #gottawearshades #LetsGoYankees Intensity score:	0.645
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: Boy oh boy! our weekday schedule is crazy! But no matter how tired I am I do whatever it takes to keep the smile on Kai's face from a frown Emotion: sadness Intensity score:	0.333
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: if you have been on depression too u shouldn't be judging him and exposing him to everyone, but helping him This tweet contains emotions:	disgust
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: After she threw me out I had to sedate her. With a damn horse tranquilizer.' Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: @ChronAVT ummm, the blog says 'with Simon Stehr faking 7th'...I'll expect an investigation forthwith. This is an #outrage This tweet contains emotions:	anger, disgust
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: @OtherkinOK @ParadisoAdam Very nice show guys! Now I have supported you, I expect you cheering at my @dublinmarathon on Oct 30th 😉😎👍 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: Let go of the need to need. And find your own joyous path through the richness that extends in every direction. This tweet contains emotions:	joy, optimism
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: How was Natalie one of the top three favorites?! #toofaced and #bitter 🙄 Emotion: anger Intensity score:	0.667
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: @EE your website is making me feel violent rage and your upgrade options aren't helping either. #Aaaaarrrrgghhh #iwanttocancel This tweet contains emotions:	anger, disgust
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: So I went to a different grocery store, and they had no @DukesMayonnaise\nI had to buy Helmann's.\nLiterally shaking right now. This tweet contains emotions:	anger, disgust
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: We ashamed of being an ally to you. Pakistan sacrificed almost 50000 civilians by siding you in war on #terror @JudgeTedPoe Emotion: fear Intensity class:	1: low amount of 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: Ive always wondered how long Angelina put up with Brad's crap. Not gon lie 😐 Emotion: anger Intensity score:	0.521
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: #Zumba, #PiYo and #HIIT sessions. Sweaty, burning but sooooooo good! #missedoutonsummerbikinibodybutwintersunbodywilldo Emotion: anger Intensity score:	0.333
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: @TheDuranSite Russian mistrust of the U.S is well justified & the precaution they've taken are very prudent. 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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome Emotion: anger Intensity class:	3: high amount of anger can be inferred
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: Girlfriends cooking me dinner again. spag blow it is, not to sure if she need my help 😂😂 #girlfriends Emotion: joy Intensity score:	0.708
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: My life is going downhill at an alarming rate Emotion: fear Intensity class:	2: moderate 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: @jimadair3 Guitar shop owners everywhere rejoice Intensity class:	1: slightly positive emotional state 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: mmmm i'm kinda sad i hope i can shake this before school Emotion: fear Intensity class:

1: low amount of fear can be inferred

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

Tweet: @UNHumanRights @UNDP_Pakistan wat an irony? #Pakistan lecturing the world on curbing This tweet contains emotions:

anger, disgust

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: @girlsreallyrule Both Trump + King are relentless self-promoters who don't give a rip about anyone else. A perfect match for both Donalds. This tweet contains emotions:

anger, disgust

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

Tweet: Crossword puzzle is oat meals solitary respecting the flat out portentous nutrient rootstock re scruple failur... Emotion: fear Intensity score:

0.375

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: Im kind of confused. The one thing i do right now has a great future, but on the other hand so does the new thing . #lost #needhelp Emotion: sadness Intensity class:

2: moderate 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: I'm just a fuming ball of anger today 🙃 Emotion: anger Intensity class:

3: high amount of anger can be inferred

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

Tweet: @komal_sidhnani true...\nThey r burning with other's pleasure!\nPpl in true love happiness everywhere _😃 Emotion: anger Intensity class:

0: no anger can be inferred

Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.

Tweet: everyone hates twice, and i kinda did too but they got bops i'm bumping rn to cheer up Emotion: joy Intensity class:

0: no joy can be inferred

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

Tweet: @KennyCoble @Rosie these horrific situations will only get worse if trump is elected. vote Hillary. This tweet contains emotions:

fear

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 think they may be Emotion: anger Intensity class:

0: no 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: @camilluddington the fact that YOURE nervous makes me want to crawl in a hole This tweet contains emotions:

disgust, fear

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

Tweet: On the bright side with YouTube heroes leafy will finally get banned Intensity score:

0.484

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: @colmjoconnor well it was after my heyday too I'm afraid, I was expecting 1st baby I reckon. Now aged 15 *gulps* I'm so old :-) Emotion: joy Intensity class:

0: no joy can be inferred

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

Tweet: Don't be offended,\nI'm just doing something that,\nGives your life more hurts.\n\n#haikuchallenge #offend #poetry Emotion: anger Intensity score:

0.625

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: Be free and open and breezy! Enjoy! Things won't get any better so get used to it. Emotion: joy Intensity class:

0: no 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: @MCHorseFayse @bockaguyjim @generalgoodsman @nevernotdavid so you were owned by losers on Twitter Emotion: sadness Intensity score:

0.542

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: @SkyUK what a joke!! Cut our internet off early 'by mistake' and then don't reinstate it when we no longer need an engineer 😡 This tweet contains emotions:

anger, disgust, sadness

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

Tweet: That is at least the 3rd time the balls been burst in our games This tweet contains emotions:

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: The #Texans should never play a prime time game again...this is #TNF Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: gifs on iOS10 messaging app are hilarious. This tweet contains emotions:

joy, surprise

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: Forgot to plug the phone in overnight #nightmare Emotion: fear Intensity score:

0.542

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: @teenageic0n_ you'll be pleased to know my family are blues This tweet contains emotions:

anticipation, joy, optimism, surprise

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: Fast and furious 6 this Monday 10 pm on mbc 2 😍😍😍😍😍😍😍 Emotion: anger Intensity class:

0: no anger can be inferred

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

Tweet: In the name of our Lord & Saviour Harambe we pray, bless all apes across the world.\n\nHear our solemn oaths and pardon sympathetic hominids. Emotion: sadness Intensity class:

0: no sadness can be inferred

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

Tweet: sav tells our mom 'I love you' and she responds 'Oh.' Emotion: sadness Intensity score:

0.417

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

Tweet: But the lady at the store said I had nice eyelashes so that's good, right? #optimism? @verizon Emotion: joy Intensity class:

0: no 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: You head north and arrive at a breezy cave. It smells sweet. You glance at your watch; you're running 15 minutes late. 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: (whisper) I cannot frown. Emotion: sadness Intensity class:

0: no 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: Leveled at the half. Much better offense expected in the second half Emotion: anger Intensity class:

0: no 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: Nothing worse than an uber driver that can't drive. #awful Emotion: fear Intensity class:

2: moderate amount of fear can be inferred

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

Tweet: @MissFushiGaming I hashtag things and the kids always tell me to stop 😭😭😭😭😭 #sadness Emotion: sadness Intensity score:

0.625

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

Tweet: @globemartyk 'drunken patroons' make this whole situation much more jovial though. Intensity score:

0.532

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: Shoutout to the drunk man on the bus who pissed in a bottle and on the seats Emotion: sadness Intensity score:

0.436

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: @KodieBurch yesss..apparently you've been popular on snap 🙄 Emotion: anger Intensity score:

0.333

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

Tweet: It was very hard to stifle my laughter after I overheard this comment. It really is amazing in the worst ways. Intensity class:

1: slightly positive emotional state can be inferred

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

Tweet: @Dolla_DeLotta They wanna bully the Inhuman. Emotion: fear Intensity score:

0.375

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: By the way, I'm wearing the smile you gave me today. \n #you #me This tweet contains emotions:

joy, love, optimism, trust

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: Good morning.Let's start with a smile!\nLet's enjoy life in a cheerful way!\nDon't worry be happy! Emotion: joy Intensity class:

3: high amount of joy can be inferred

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

Tweet: @IMKristenBell @lauralittlelegs pine nut.... Chestnut....peanut....wait... Wrong film This tweet contains emotions:

sadness

Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.

Tweet: @carlybigelow13 first you take the room now you wanna beat me up Emotion: fear Intensity score:

0.412

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: I'm so nervous This tweet contains emotions:

fear

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: Ladies and gentlemen\nAfter the tremendous success of #PanamaLeaks\nNow presenting #BahamasLeaks 😂 Emotion: fear Intensity score:

0.229

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: Heart heavy for lost furry family members. Remembering Max and Ozzie. Forever friends as 🐶😇 This tweet contains emotions:

sadness

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

Tweet: Does anyone remember a movie that is animated in the late 70's called Shame of the Jungle John Bulushi was in it wild if that's your taste This tweet contains emotions:

anticipation, joy, love

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: Be happy. Be who you want to be. If others don't like it, then let them be. Happiness is a choice. Life isn't about pleasing everybody.... Emotion: joy Intensity class:

1: low 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: 😂 - youre one of those whod bully me omg but it was all banter and we could laugh at it later haha. Youre a nice guy x This tweet contains emotions:

joy, optimism, trust

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: wonder if at any point #BobMarley ever actually became #afraid of just how #high he'd gotten. :o #420 Emotion: fear Intensity class:

0: no fear can be inferred

Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: I HATE little girls 😡😡 got a lot off growing up to do!!! #fuming Intensity class:

-3: very negative 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: Connivers blind to existential fury Emotion: anger Intensity score:

0.542

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: @JohnGDryden Gud morning sir,,keep smiling! Emotion: joy Intensity score:

0.840

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: Chick told me I look like Childish Gambino. #insult or #compliment 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: When someone rudely says all women should have long hair and your inner feminist tries not to rage This tweet contains emotions:

anger, disgust

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: @realDonaldTrump negative campaign of doom and gloom don't win elections Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

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

Tweet: @metalAndTheGeek @astoldbyfANGIRL SAME! I always say it was the best time of my life. I closed my store down and it was so depressing Emotion: sadness Intensity class:

3: high 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: also other ppl who i love a whole damn lot; erica, joanna, tiff, sirli, harley, anja, (the rest of the gc bc i ran out of chara!) This tweet contains emotions:

joy, love, optimism

Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.

Tweet: @STLouis_RamsFan their whole team is limited when they're on the field. Emotion: fear Intensity score:

0.292

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: @DDogsScout 'Oh!' Almost with odd cheerfulness, Big Boss offers: 'Muzzle flash blinding. Accidental by the guy who became my best friend.' This tweet contains emotions:

anger, disgust, joy, optimism

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: @economictimes World knows #Pakistan is an epicentre of #terror. The #pakistan speech in UN has define their agenda This tweet contains emotions:

anger, disgust, fear, sadness

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

Tweet: Yo this 3 v 3 overtime in hockey got me sweaty damn this ish exhilarating This tweet contains emotions:

anger, disgust, joy

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

Tweet: 😩😩😩😩 heads melted, very tired but can't sleep. Emotion: fear Intensity score:

0.750

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

Tweet: @sueblue35 @nsoz7 @immortalbulldog huh? We have a sprint coach? We're the slowest team in the comp. Talk about robbing a living. #outrage Intensity score:

0.100

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: y'all shabazz's name in my phone is 'easy breezy beautiful' & I will not apologize. 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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #haunt #kittens Emotion: fear Intensity score:

0.312

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 majority of people irritate the fuck out of me, cba with people ahahah Emotion: anger Intensity class:

3: high amount of anger 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: Thanks for making our Mass with Fr. Vallely respectful, meaningful, and joyful @ACSSCrusader @AssumptionHCDSB ! #SeeWithEyesOfMercy Emotion: joy Intensity score:

0.720

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: @darcomafloy OMG IM CRYING HAHAHAHA ikaw talaga tagagising ko HAHA shet i set my alarm BUT I FORGOT TO TURN IT ON but im awake now so-- This tweet contains emotions:

joy, sadness, surprise

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: Love is when all your happiness and all your sadness and all your feelings are dependent on another person. Emotion: sadness Intensity class:

0: no sadness can be inferred

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

Tweet: When the sadness leaves you broken in your bed, I will hold you in the depths of your despair, and it's all in the name of love 🎶 Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.

Tweet: I saw someone discourage someone from following their dreams. Just because you want to live in mediocrity doesn't mean someone else should. Emotion: sadness Intensity score:

0.479

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

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 score:

0.914

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: Nor hell a fury like a woman scorned -- William Congreve This tweet contains emotions:

anger, fear

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: @eehbahmum WHY?! Did they want to make you plummet in to the depths of despair?? This tweet contains emotions:

anger, disgust, sadness

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

Tweet: @cristinalaila1 just when I thought this disgusting man couldn't sink any lower-like Hillary he his depravity of character has no bottom Emotion: sadness Intensity class:

2: moderate 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: Finally have all my braces on and I can't stop smiling 😊😊😊😊😊 Emotion: joy Intensity class:

3: high amount of joy 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: And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt Emotion: anger Intensity class:

1: low 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: @alicemazzy he was more partisan on social issues a few years back; now he just concern trolls the center left as Chait does the far left Emotion: fear Intensity score:

0.354

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

Tweet: @FlannelJedi This is why I drink and watch You're the Worst as a way to cheer myself up. Emotion: joy Intensity score:

0.292

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

Tweet: its been ages since ive had shawarma my stomach is #rejoicing Emotion: joy Intensity score:

0.606

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: @Freepenalties @TMortimerFtbl Doll is a vile creature on the touchline. Every game he has tantrums & shouts at the ref. Would love to see Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: Omg I actually thought she was going to jump. #SouthPark20 #southpark Intensity class:

-2: moderately negative emotional state 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: @TVsCarlKinsella They're such garbage. Obviously I like that they suck but it's still grim to watch. Emotion: sadness Intensity score:

0.542

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

Tweet: @thomeagle Just to help maintain and boost our status as a world class centre for education, culture and tolerance. This tweet contains emotions:

anticipation, optimism

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

Tweet: @JackCurryYES he's just lucky...bad pitchers...#WHATEVER...ElKracken is #legit #future #bright #gottawearshades #LetsGoYankees Intensity score:

0.645

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: Boy oh boy! our weekday schedule is crazy! But no matter how tired I am I do whatever it takes to keep the smile on Kai's face from a frown Emotion: sadness Intensity score:

0.333

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: if you have been on depression too u shouldn't be judging him and exposing him to everyone, but helping him This tweet contains emotions:

disgust

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: After she threw me out I had to sedate her. With a damn horse tranquilizer.' Emotion: sadness Intensity class:

0: no sadness can be inferred

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

Tweet: @ChronAVT ummm, the blog says 'with Simon Stehr faking 7th'...I'll expect an investigation forthwith. This is an #outrage This tweet contains emotions:

anger, disgust

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: @OtherkinOK @ParadisoAdam Very nice show guys! Now I have supported you, I expect you cheering at my @dublinmarathon on Oct 30th 😉😎👍 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: Let go of the need to need. And find your own joyous path through the richness that extends in every direction. This tweet contains emotions:

joy, optimism

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: How was Natalie one of the top three favorites?! #toofaced and #bitter 🙄 Emotion: anger Intensity score:

0.667

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: @EE your website is making me feel violent rage and your upgrade options aren't helping either. #Aaaaarrrrgghhh #iwanttocancel This tweet contains emotions:

anger, disgust

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: So I went to a different grocery store, and they had no @DukesMayonnaise\nI had to buy Helmann's.\nLiterally shaking right now. This tweet contains emotions:

anger, disgust

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: We ashamed of being an ally to you. Pakistan sacrificed almost 50000 civilians by siding you in war on #terror @JudgeTedPoe Emotion: fear Intensity class:

1: low amount of 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: Ive always wondered how long Angelina put up with Brad's crap. Not gon lie 😐 Emotion: anger Intensity score:

0.521

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: #Zumba, #PiYo and #HIIT sessions. Sweaty, burning but sooooooo good! #missedoutonsummerbikinibodybutwintersunbodywilldo Emotion: anger Intensity score:

0.333

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: @TheDuranSite Russian mistrust of the U.S is well justified & the precaution they've taken are very prudent. 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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? . #iphonePhoneHome Emotion: anger Intensity class:

3: high amount of anger can be inferred

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

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

0.708

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

Tweet: My life is going downhill at an alarming rate Emotion: fear Intensity class:

2: moderate 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: @jimadair3 Guitar shop owners everywhere rejoice Intensity class:

1: slightly positive emotional state can be inferred