Holmeister/AAID-clone · Datasets at Hugging Face

instruction stringclasses 50 values	input stringlengths 32 202	output stringlengths 0 55
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: We're very busy #coding a whole network manager for #unity3d based on #steamworks networking. #gamedev #indiedev #3amDeadTime #horror #game This tweet contains emotions:	fear
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: @missblair140 AWH tiff you're such a great friend I love you :(( thank you This tweet contains emotions:	joy, love
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: @Lil_PowWow @jweiler0528 More fat = more buoyant. Day 1 water stuff This tweet contains emotions:
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: #start ur day wit a smile\n#buviobby Emotion: fear Intensity score:	0.167
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: Ready for my sweet princess to arrive. I'll he 37 weeks this Saturday! #excited #nervous This tweet contains emotions:	fear, joy, love, 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: I wish you stayed in Da Gump I'll make you panic like the last rapper This tweet contains emotions:	anger, disgust, 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: But is it your fault you worked hard and stayed the course until eventually it all paid off, no! so let it be known and count up! Emotion: sadness Intensity score:	0.354
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: could never be a angry drunk lol yall weirdos just enjoy your time Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
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: Has anyone noticed that @npr stories in recent days all paint positive accomplishments for Trump and challenges for Hillary? #surprised #sad Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: Job interview in the afternoon #ek Intensity class:	0: neutral or mixed emotional state can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: B day next week, catch the sauce and watch the heaviness! This tweet contains emotions:	joy
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: Enjoyed seamlessly setting my #alarm using #okgoogle #Nougat. Just tell #Okgoogle what to do and she does it. #PersonalAssistant 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: come on let's make em hate 😘make em pout they face 👿😩. This tweet contains emotions:	anger, disgust
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.	Tweet: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️ Emotion: fear Intensity score:	0.646
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: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #smile #Whitegirlwednesday Emotion: joy Intensity score:	0.604
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: She used to be beautiful, but she lived her life too fast - Forest City Joe #blues #blinddogradio Emotion: sadness Intensity score:	0.398
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: but throughout that entire thing I was shaking rlly bad and my heart was racing and I was almost in tears lmao (thanks mr.*****) Emotion: fear Intensity class:	3: high amount of fear can be inferred
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values This tweet contains emotions:	anticipation, optimism, trust
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: This tweet is dedicated to my back pain, which I do not understand because I am youthful and spry. Full of life. Vivacious. Intensity class:	-2: moderately negative emotional state 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: 2day's most used term is, #terrorism, with many addresses and forms. On my #opinion, the only form of terrorism in this world is, injustice! Emotion: fear Intensity class:	1: low amount of fear 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: Needed levity: Hubs + I talking of @weareTYPHOON Kyle's new solo album, my 7 yo says '@KyleClark'? She loves ur news show #9News @9NEWS LOLZ Intensity class:	2: moderately positive 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: I am using twitter as a coping mechanism for raging out at this kid oops? Emotion: anger Intensity score:	0.500
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: @kimdelacreme_ @Srgohdatzme305 I'm there... let me know This tweet contains emotions:	anticipation, optimism, trust
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: And to discriminate only generates hate\nAnd when you hate then you're bound to get irate, 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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. This tweet contains emotions:	joy, love, optimism
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: @Mysbananen yes hc and we got him very low. I know how it feels. Our damage is low enough as it is never mind having the rng of being enrage Emotion: anger Intensity score:	0.479
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: Somewhere I rd a rpt tht Pakis wr afraid of TSD & asked it 2 shut dn. Congis obliged & exposed it,hounded them.time to revive. #BadlaofUri This tweet contains emotions:
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: So today, I un armed my silence. My lungs rejoice in freedom. My insides had color too! A woman counted! My jawbone became a razor! For free This tweet contains emotions:	joy, optimism
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @alisontis otherwise you're committing a crime against your soul only sober ppl know what is good or bad for themselves Emotion: sadness Intensity class:	1: low amount of sadness can be inferred
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.	Tweet: Aberdeen st Johnstone, let's see who can punt it the furthest #awful Emotion: fear Intensity score:	0.354
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: @AllredMD @KerryCallen @thismanthispete Kirby's Black Panther in a cool animated panel. This tweet contains emotions:	anticipation, 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 hate not having the answers I need. #tomourssuck #prayinsnotcancer #angry Emotion: anger Intensity class:	3: high amount of anger can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: Ryan Gosling and Eva Mendes finally ; B joyful an funny/dont boss/dont argue/do everything with kids/go on mini car trips/ focus on love Emotion: joy Intensity score:	0.620
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: They used to laugh at her coz she couldn't afford a junky now they stare in awe while she is winning. This tweet contains emotions:	anticipation, joy, love, optimism
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.	Tweet: -- used as a pawn in this red woman's game] For now, try not to fret and act as if nothing is amiss. This is a royal -- @TheLadyOfGlenco Emotion: sadness Intensity score:	0.354
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: @chutneysupercat hi lovely brownie, MM is calling me tuppytupperware.. its awful Emotion: fear Intensity class:	0: no fear can be inferred
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: gets crushes on fictional and animated characters instead if real people Intensity class:	0: neutral or mixed emotional state can be inferred
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).	Tweet: these grown ass lil boys yeah i can't take them serious. This tweet contains emotions:	anger, disgust, 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: I'm worried someday I'll be yelling at my kids and they'll be confused about if or not I'm being serious 😭😭😭\n\nI'm too damn playful Emotion: joy Intensity score:	0.340
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: Dear everyone at HSSU, stop walking with your phones up so I can smile and wave at you and you can smile and wave back :( 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: My nephew sees that i have a frown on my face and he tells me 'you're beautiful '!😢💞😩 Emotion: sadness Intensity class:	2: moderate amount of sadness can be inferred
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.	Tweet: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications This tweet contains emotions:	fear, sadness
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: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡 #fuming Emotion: anger Intensity class:	3: high amount of anger 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: @aidanparr haha!! No, sorry was it too grim even for you?! It disturbed me & im starting to lose all trust in Twitter generally!! This tweet contains emotions:	anger, disgust
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: the ending of how I met your mother is dreadful Intensity class:	-2: moderately negative 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: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to 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: @SiobhanSynnot Oh, good God. Quentin Letts is doing one of his 'comedy' turns. #angry @bbcthisweek @afneil #BBCTW 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: “The #greatest fear #dogs know is the #fear that you will not come back when you go out the #door #without them.” \n ―#Stanley #Coren Emotion: fear Intensity class:	1: low amount of fear can be inferred
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: @LPDonovan this is why I think his pre prepped debate answers have the potential for hilarity Intensity class:	0: neutral or mixed emotional state 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: Just rough situations all around for Schalke and Werder Bremen to start the campaign. Bremen dashed late with a new manager. Both with 0. Emotion: sadness Intensity class:	1: low amount of sadness 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: S/O to the girl that just hit my car...not only did she get lucky w/ no scratch but also from being spared the wrath of sleep deprived Kait🙃 Emotion: anger Intensity 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: @DunsScottus @FaithNGuns @buggazing @Patriot_Musket Yep, Owen Garriott told me it was ghastly. None of his peeps ever had it :) Emotion: fear Intensity class:	0: no fear can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).	Tweet: @mackenzian yes! That was my one qualm. These are deeply theological issues we're engaging theologically. 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: what to wear Friday \nspeaking in front of 100's. This tweet contains emotions:	fear
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 you forget to mention you were bought dreamboys tickets 🙄😂 #raging Emotion: anger Intensity class:	1: low amount of anger 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: new madden 16 video was gonna be up but xbox is being an ahole and not going through 🙄🙄 #struggles This tweet contains emotions:	anger, disgust, sadness
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: @lilymooregrant u used to chirp me for drinking it u hoe Emotion: joy Intensity class:	0: no joy can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.	Tweet: 3:45am and off to the hospital! Elouise's waters have gone! #panic #Labour #LittleSister #superexcited Emotion: fear Intensity score:	0.688
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: @SkyNews err I wasnt gloomy. 17.2 mio people were not gloomy only #remain were #Brexit This tweet contains emotions:	disgust, sadness
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).	Tweet: @Zen1dfabflake You are all our angelic comrades! Intensity score:	0.633
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: @KurakkuSora he is.\nSure his mind was clouded but...] Emotion: sadness Intensity class:	0: no sadness can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Harking back to 2012 - DT's challenge to @POTUS...I will give...DT a hearty thank you...if he will release his tax returns.... Emotion: joy Intensity class:	0: no joy can be inferred
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.	Tweet: She'll be bribing her parents with hearty laughter and giggles :) #Loveet Intensity class:	3: very positive emotional state can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.	Tweet: @Dominos_UK worst thing is i have confimation from them #angry Emotion: anger Intensity score:	0.771
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: And it pisses me off more they killed people who surrendered. Hands up and all. If hands visible you shouldn't be fearing for your life Emotion: fear Intensity class:	2: moderate 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: its so unfortunate that after all these years im still struggling with depression smh Emotion: sadness Intensity score:	0.833
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.	Tweet: I had Golden Ocean the other day it was lush, then I gagged and was sick... What a waste of £20 - I was fuming @EmmaGould_ I miss you Emotion: anger Intensity score:	0.688
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: $SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated. This tweet contains emotions:	anger, anticipation
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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris Emotion: sadness Intensity class:	0: no sadness 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: I love when people say they aren't racist right before they say some racist shit... Not how that works... This tweet contains emotions:	anger, disgust
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: @DRUDGE_REPORT @FoxNews good thing the FBI didn't offend them! Emotion: anger Intensity class:	2: moderate amount of anger can be inferred
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: When health insurance won't cover TMS but they let me know they cover ECT #mentalhealth #psychology #depression #TMS #ECT Emotion: sadness Intensity class:	3: high amount of 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: @gurrie_j thanks for making me super sad about Pizza. #freepizza Emotion: sadness Intensity score:	0.521
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: Enjoyed seamlessly setting my #alarm using #okgoogle #Nougat. Just tell #Okgoogle what to do and she does it. #PersonalAssistant Emotion: fear Intensity class:	0: no fear can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.	Tweet: amateur author Twitter might be the most depressing thing I've ever seen This tweet contains emotions:	pessimism, sadness
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).	Tweet: @palmtreesarah @WorthingTheatre had more fun than the funniest person in funsville..... Much hilarity as usual.... Thank you ❤️ Intensity score:	0.823
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: @chelseahandler I don't think your a girls girl #fraud #celebeffer Emotion: fear 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: #America finding #gratitude amidst the sadness and frustration about race, #fear, anger and #racism, i remain hopeful _ i'm an earth fixer' This tweet contains emotions:	fear, optimism
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: your outrage (your tweets, your jokes, your attention) is exactly what M*lo wants\n\n(this is not meant as a defense) Emotion: anger Intensity class:	1: low amount of anger 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: Tip 5: Don't worry about pleasing everyone. #TitanWisdom This tweet contains emotions:	optimism
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: Marcos rojo plays for man united !! Just let that sink in !!! Emotion: sadness Intensity score:	0.417
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).	Tweet: Got to be up in 4 hours to go back to work #cantsleep #excited Intensity score:	0.704
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: Watched tna for the first time in a long time what the hell happened to the #hardyboys #impactonpop #wwe This tweet contains emotions:	sadness
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #awe #gratitude #HARDwork 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: @Za_buhmaid Happy birthday sweety .. sweet 21 hun hope u have a wonderful day and a wondrful joyful year better than the last one, Luv U ♥ 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: When u /only/ talk 2 me or ask me 'how r things' just 2 get 2 say something u want, 4give me if I'm not elated 2 start a conversation with u Intensity class:	-2: moderately negative emotional state 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: Heyyyy warriors!!!!! #anxiety #panicattacks This tweet contains emotions:	fear, sadness
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: For the last 2 years the U.S. has been averaging about 4 terrorist attacks a month. Good debate topic. #Trump #Hillary 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: seek to conduct attacks against Israel, intended to provoke a reaction that would further inflame feeling within the Islamic world”. • This tweet contains emotions:	anger, fear
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: Hillary Clinton looked the other way to the Saudi war on women and their terror financing because they bought her off. Emotion: fear Intensity class:	0: no fear can be inferred
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.	Tweet: Accept challenges in life, so that you may feel the exhilaration of victory. Emotion: joy Intensity score:	0.500
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 #musically Emotion: joy Intensity score:	0.521
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: Interview preparation, I hate talking about myself, one dull subject matter! #yawnoff Emotion: sadness Intensity class:	0: no sadness 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: Okay~ #deepbreathes ☺️ we can do this @sydneyswans 💪🏻🔴⚪️ #cheer #cheer & see you on the other side peeps ❤️ #AFLCatsSwans #ProudlySydney This tweet contains emotions:	joy, optimism
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: Loving @Speechless_ABC so far. Just hilarious and @driverminnie is wonderful. #hilarious #Bravo 👏🏻👏🏻 Emotion: joy Intensity class:	3: high amount of joy can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.	Tweet: Yo there's a kid on my snap chat from LA & they get high off helium gas lmao.... I am like why the fuck lol Emotion: anger Intensity class:	2: moderate amount of anger 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: @downeysduckling nick fury This tweet contains emotions:	anger, disgust
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.	Tweet: Sigh #saddness #afterellen #shitsucks This tweet contains emotions:	sadness
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: @JaredWyand Maybe if it was transgender the media would cover it #outrage This tweet contains emotions:	anger, 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: My view of the human being is as a dynamic expression of the Cosmos we exist within #humanism Emotion: fear Intensity score:	0.271

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: We're very busy #coding a whole network manager for #unity3d based on #steamworks networking. #gamedev #indiedev #3amDeadTime #horror #game This tweet contains emotions:

fear

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: @missblair140 AWH tiff you're such a great friend I love you :(( thank you This tweet contains emotions:

joy, love

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: @Lil_PowWow @jweiler0528 More fat = more buoyant. Day 1 water stuff This tweet contains emotions:

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: #start ur day wit a smile\n#buviobby Emotion: fear Intensity score:

0.167

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: Ready for my sweet princess to arrive. I'll he 37 weeks this Saturday! #excited #nervous This tweet contains emotions:

fear, joy, love, 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: I wish you stayed in Da Gump I'll make you panic like the last rapper This tweet contains emotions:

anger, disgust, 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: But is it your fault you worked hard and stayed the course until eventually it all paid off, no! so let it be known and count up! Emotion: sadness Intensity score:

0.354

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

Tweet: could never be a angry drunk lol yall weirdos just enjoy your time Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

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: Has anyone noticed that @npr stories in recent days all paint positive accomplishments for Trump and challenges for Hillary? #surprised #sad Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: Job interview in the afternoon #ek Intensity class:

0: neutral or mixed emotional state can be inferred

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

Tweet: B day next week, catch the sauce and watch the heaviness! This tweet contains emotions:

joy

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: Enjoyed seamlessly setting my #alarm using #okgoogle #Nougat. Just tell #Okgoogle what to do and she does it. #PersonalAssistant 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: come on let's make em hate 😘make em pout they face 👿😩. This tweet contains emotions:

anger, disgust

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

Tweet: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️ Emotion: fear Intensity score:

0.646

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: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #smile #Whitegirlwednesday Emotion: joy Intensity score:

0.604

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: She used to be beautiful, but she lived her life too fast - Forest City Joe #blues #blinddogradio Emotion: sadness Intensity score:

0.398

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: but throughout that entire thing I was shaking rlly bad and my heart was racing and I was almost in tears lmao (thanks mr.*****) Emotion: fear Intensity class:

3: high amount of fear can be inferred

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

Tweet: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values This tweet contains emotions:

anticipation, optimism, trust

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: This tweet is dedicated to my back pain, which I do not understand because I am youthful and spry. Full of life. Vivacious. Intensity class:

-2: moderately negative emotional state 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: 2day's most used term is, #terrorism, with many addresses and forms. On my #opinion, the only form of terrorism in this world is, injustice! Emotion: fear Intensity class:

1: low amount of fear 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: Needed levity: Hubs + I talking of @weareTYPHOON Kyle's new solo album, my 7 yo says '@KyleClark'? She loves ur news show #9News @9NEWS LOLZ Intensity class:

2: moderately positive 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: I am using twitter as a coping mechanism for raging out at this kid oops? Emotion: anger Intensity score:

0.500

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: @kimdelacreme_ @Srgohdatzme305 I'm there... let me know This tweet contains emotions:

anticipation, optimism, trust

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: And to discriminate only generates hate\nAnd when you hate then you're bound to get irate, 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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. This tweet contains emotions:

joy, love, optimism

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: @Mysbananen yes hc and we got him very low. I know how it feels. Our damage is low enough as it is never mind having the rng of being enrage Emotion: anger Intensity score:

0.479

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: Somewhere I rd a rpt tht Pakis wr afraid of TSD & asked it 2 shut dn. Congis obliged & exposed it,hounded them.time to revive. #BadlaofUri This tweet contains emotions:

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: So today, I un armed my silence. My lungs rejoice in freedom. My insides had color too! A woman counted! My jawbone became a razor! For free This tweet contains emotions:

joy, optimism

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

Tweet: @alisontis otherwise you're committing a crime against your soul only sober ppl know what is good or bad for themselves Emotion: sadness Intensity class:

1: low amount of sadness can be inferred

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

Tweet: Aberdeen st Johnstone, let's see who can punt it the furthest #awful Emotion: fear Intensity score:

0.354

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: @AllredMD @KerryCallen @thismanthispete Kirby's Black Panther in a cool animated panel. This tweet contains emotions:

anticipation, 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 hate not having the answers I need. #tomourssuck #prayinsnotcancer #angry Emotion: anger Intensity class:

3: high amount of anger can be inferred

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

Tweet: Ryan Gosling and Eva Mendes finally ; B joyful an funny/dont boss/dont argue/do everything with kids/go on mini car trips/ focus on love Emotion: joy Intensity score:

0.620

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: They used to laugh at her coz she couldn't afford a junky now they stare in awe while she is winning. This tweet contains emotions:

anticipation, joy, love, optimism

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

Tweet: -- used as a pawn in this red woman's game] For now, try not to fret and act as if nothing is amiss. This is a royal -- @TheLadyOfGlenco Emotion: sadness Intensity score:

0.354

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: @chutneysupercat hi lovely brownie, MM is calling me tuppytupperware.. its awful Emotion: fear Intensity class:

0: no fear can be inferred

Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: *gets crushes on fictional and animated characters instead if real people* Intensity class:

0: neutral or mixed emotional state can be inferred

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

Tweet: these grown ass lil boys yeah i can't take them serious. This tweet contains emotions:

anger, disgust, 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: I'm worried someday I'll be yelling at my kids and they'll be confused about if or not I'm being serious 😭😭😭\n\nI'm too damn playful Emotion: joy Intensity score:

0.340

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: Dear everyone at HSSU, stop walking with your phones up so I can smile and wave at you and you can smile and wave back :( 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: My nephew sees that i have a frown on my face and he tells me 'you're beautiful '!😢💞😩 Emotion: sadness Intensity class:

2: moderate amount of sadness can be inferred

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

Tweet: Mixed emotions. #sadness #anxietymaybe #missingfriends #growingupsucks #lostfriends #wheresthetruefriends #complications This tweet contains emotions:

fear, sadness

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: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡 #fuming Emotion: anger Intensity class:

3: high amount of anger 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: @aidanparr haha!! No, sorry was it too grim even for you?! It disturbed me & im starting to lose all trust in Twitter generally!! This tweet contains emotions:

anger, disgust

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: the ending of how I met your mother is dreadful Intensity class:

-2: moderately negative 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: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to 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: @SiobhanSynnot Oh, good God. Quentin Letts is doing one of his 'comedy' turns. #angry @bbcthisweek @afneil #BBCTW 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: “The #greatest fear #dogs know is the #fear that you will not come back when you go out the #door #without them.” \n ―#Stanley #Coren Emotion: fear Intensity class:

1: low amount of fear can be inferred

Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.

Tweet: @LPDonovan this is why I think his pre prepped debate answers have the potential for hilarity Intensity class:

0: neutral or mixed emotional state 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: Just rough situations all around for Schalke and Werder Bremen to start the campaign. Bremen dashed late with a new manager. Both with 0. Emotion: sadness Intensity class:

1: low amount of sadness 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: S/O to the girl that just hit my car...not only did she get lucky w/ no scratch but also from being spared the wrath of sleep deprived Kait🙃 Emotion: anger Intensity 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: @DunsScottus @FaithNGuns @buggazing @Patriot_Musket Yep, Owen Garriott told me it was ghastly. None of his peeps ever had it :) Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: @mackenzian yes! That was my one qualm. These are deeply theological issues we're engaging theologically. 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: what to wear Friday \nspeaking in front of 100's. This tweet contains emotions:

fear

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 you forget to mention you were bought dreamboys tickets 🙄😂 #raging Emotion: anger Intensity class:

1: low amount of anger 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: new madden 16 video was gonna be up but xbox is being an ahole and not going through 🙄🙄 #struggles This tweet contains emotions:

anger, disgust, sadness

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

Tweet: @lilymooregrant u used to chirp me for drinking it u hoe Emotion: joy Intensity class:

0: no joy can be inferred

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

Tweet: 3:45am and off to the hospital! Elouise's waters have gone! #panic #Labour #LittleSister #superexcited Emotion: fear Intensity score:

0.688

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: @SkyNews err I wasnt gloomy. 17.2 mio people were not gloomy only #remain were #Brexit This tweet contains emotions:

disgust, sadness

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

Tweet: @Zen1dfabflake You are all our angelic comrades! Intensity score:

0.633

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: @KurakkuSora he is.\nSure his mind was clouded but...] Emotion: sadness Intensity class:

0: no sadness can be inferred

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

Tweet: Harking back to 2012 - DT's challenge to @POTUS...I will give...DT a hearty thank you...if he will release his tax returns.... Emotion: joy Intensity class:

0: no joy can be inferred

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

Tweet: She'll be bribing her parents with hearty laughter and giggles :) #Loveet Intensity class:

3: very positive emotional state can be inferred

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

Tweet: @Dominos_UK worst thing is i have confimation from them #angry Emotion: anger Intensity score:

0.771

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: And it pisses me off more they killed people who surrendered. Hands up and all. If hands visible you shouldn't be fearing for your life Emotion: fear Intensity class:

2: moderate 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: its so unfortunate that after all these years im still struggling with depression smh Emotion: sadness Intensity score:

0.833

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

Tweet: I had Golden Ocean the other day it was lush, then I gagged and was sick... What a waste of £20 - I was fuming @EmmaGould_ I miss you Emotion: anger Intensity score:

0.688

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: $SRPT Why would Etep patients & Mom's advocate for a drug if it did not work? Anyone listen to the Etep MD's @ Adcomm.. all were elated. This tweet contains emotions:

anger, anticipation

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: Regret for the things we did can be tempered by time; it is regret for the things we did not do that is inconsolable. - Sydney J. Harris Emotion: sadness Intensity class:

0: no sadness 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: I love when people say they aren't racist right before they say some racist shit... Not how that works... This tweet contains emotions:

anger, disgust

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: @DRUDGE_REPORT @FoxNews good thing the FBI didn't offend them! Emotion: anger Intensity class:

2: moderate amount of anger can be inferred

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: When health insurance won't cover TMS but they let me know they cover ECT #mentalhealth #psychology #depression #TMS #ECT Emotion: sadness Intensity class:

3: high amount of 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: @gurrie_j thanks for making me super sad about Pizza. #freepizza Emotion: sadness Intensity score:

0.521

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

0: no fear can be inferred

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

Tweet: amateur author Twitter might be the most depressing thing I've ever seen This tweet contains emotions:

pessimism, sadness

Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).

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

0.823

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: @chelseahandler I don't think your a girls girl #fraud #celebeffer Emotion: fear 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: #America finding #gratitude amidst the sadness and frustration about race, #fear, anger and #racism, i remain hopeful _ i'm an earth fixer' This tweet contains emotions:

fear, optimism

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

Tweet: your outrage (your tweets, your jokes, your attention) is *exactly* what M*lo wants\n\n(this is not meant as a defense) Emotion: anger Intensity class:

1: low amount of anger 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: Tip 5: Don't worry about pleasing everyone. #TitanWisdom This tweet contains emotions:

optimism

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: Marcos rojo plays for man united !! Just let that sink in !!! Emotion: sadness Intensity score:

0.417

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

Tweet: Got to be up in 4 hours to go back to work #cantsleep #excited Intensity score:

0.704

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: Watched tna for the first time in a long time what the hell happened to the #hardyboys #impactonpop #wwe This tweet contains emotions:

sadness

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

Tweet: The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #awe #gratitude #HARDwork 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: @Za_buhmaid Happy birthday sweety .. sweet 21 hun hope u have a wonderful day and a wondrful joyful year better than the last one, Luv U ♥ 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: When u /only/ talk 2 me or ask me 'how r things' just 2 get 2 say something u want, 4give me if I'm not elated 2 start a conversation with u Intensity class:

-2: moderately negative emotional state 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: Heyyyy warriors!!!!! #anxiety #panicattacks This tweet contains emotions:

fear, sadness

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

Tweet: For the last 2 years the U.S. has been averaging about 4 terrorist attacks a month. Good debate topic. #Trump #Hillary 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: seek to conduct attacks against Israel, intended to provoke a reaction that would further inflame feeling within the Islamic world”. • This tweet contains emotions:

anger, fear

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: Hillary Clinton looked the other way to the Saudi war on women and their terror financing because they bought her off. Emotion: fear Intensity class:

0: no fear can be inferred

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

Tweet: Accept challenges in life, so that you may feel the exhilaration of victory. Emotion: joy Intensity score:

0.500

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 #musically Emotion: joy Intensity score:

0.521

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: Interview preparation, I hate talking about myself, one dull subject matter! #yawnoff Emotion: sadness Intensity class:

0: no sadness 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: Okay~ #deepbreathes ☺️ we can do this @sydneyswans 💪🏻🔴⚪️ #cheer #cheer & see you on the other side peeps ❤️ #AFLCatsSwans #ProudlySydney This tweet contains emotions:

joy, optimism

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: Loving @Speechless_ABC so far. Just hilarious and @driverminnie is wonderful. #hilarious #Bravo 👏🏻👏🏻 Emotion: joy Intensity class:

3: high amount of joy can be inferred

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

Tweet: Yo there's a kid on my snap chat from LA & they get high off helium gas lmao.... I am like why the fuck lol Emotion: anger Intensity class:

2: moderate amount of anger 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: @downeysduckling nick fury This tweet contains emotions:

anger, disgust

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

Tweet: *Sigh* #saddness #afterellen #shitsucks This tweet contains emotions:

sadness

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: @JaredWyand Maybe if it was transgender the media would cover it #outrage This tweet contains emotions:

anger, 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: My view of the human being is as a dynamic expression of the Cosmos we exist within #humanism Emotion: fear Intensity score:

0.271