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Holmeister
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AAID-clone

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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: @j__a__i I actually understand it for plumbers etc. Wire would get in the way while under a sink This tweet contains emotions:
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: People you need to look up the definition of protest. What you are doing is not protesting is called vandalism. #stop Emotion: anger Intensity score:
0.688
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: Avoiding hearty basset hound no time present-time american the brave: YDXef 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: @nadyaginsburg Thank-you for unfailingly bringing so much joy into my life, you incredibly talented maker of mirth. Emotion: joy Intensity score:
0.722
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: @lee_family5 @USAneedsTRUMP @HillaryClinton @realDonaldTrump You can't be serious. This man practices no religion. Only in church campaignin This tweet contains emotions:
anger, disgust
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: Love all the ex United managers on Twitter who form our fanbase. Honestly I despair at times. Just back the fucking team eh #MUFC Emotion: fear Intensity score:
0.528
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: You dont have to feel grateful to be grateful, for it is written ' all things work together for good' for those who love God. Emotion: joy Intensity score:
0.365
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: Just saw lil homie @NICKMERCS rage on cam. Weren't roids a thing in the late 90's or has it come back? I'm lost... Emotion: anger Intensity class:
0: no anger 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: I hate those sugar cookies shit is awful Emotion: fear Intensity class:
0: no fear can be inferred
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @jessebwatters lol. Love it when you aggravate Juan. Keep up the good work. Lol This tweet contains emotions:
joy, trust
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: god, Facebook's design has started to remind me of MySpace in its heyday This tweet contains emotions:
disgust, pessimism
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: Sometimes The Worst Place You Can Be Is In Your Own Head.'\n\n#quotes #worstenemy #depression #thinktoomuch This tweet contains emotions:
anger, disgust, fear, pessimism, sadness
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: -- haired man strides close and watches as the Major flinches away from him, the reaction draws a growl from his throat. -- (@DocHQuinzel) This tweet contains emotions:
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: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear??? Emotion: fear Intensity class:
1: low amount of fear 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: @clppng #offended the tonys have found a way to leave me out and now y'all have too This tweet contains emotions:
anger, disgust
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: You a fuck boy if you run drag routes back to back in madden Emotion: anger Intensity score:
0.646
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: An absolutely dire first half and I can't recall a shot on target. \n\nAgainst Accrington Stanley. This tweet contains emotions:
anger, disgust
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @BBCSport too dull for the UK. Intensity score:
0.219
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 attitude toward your struggles is equally as important as your actions to work through them. #optimism Emotion: joy Intensity class:
1: low 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: you know cyran still hasn't done makeup based on jeongguk's tiddy like i suggested and i'm #offended Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: A #smile can mean a thousand words, but it can also hide a thousand #problems. #Fact #TeamFollowBack This tweet contains emotions:
joy, optimism, sadness
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: @hedgegirl I was only joking. I don't have any parents. 😈 #dark Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: my dogs making the most RIDICULOUS sounds right now its like a high pitched gargle-y growl Emotion: anger Intensity class:
0: no anger can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: @cardiff_blues @CardiffBluesSC Italy another round lets not drop our play and take it to them with a big result out there guys #blues Emotion: sadness Intensity score:
0.312
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: #NewYork: Several #Baloch & Indian activists hold demonstrations outside @UN headquarters demanding Pak to stop exporting #terror into India Emotion: fear Intensity score:
0.590
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: God hears your voice optimism at the moment that you think that everything has failed you ✨. This tweet contains emotions:
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: @CornerBakery Sorry I missed you :) I stayed up late working and pondering life This tweet contains emotions:
sadness
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: .@RepDelBene: 'Today's proceedings and the entire process is an insult to our constituents.' Emotion: anger Intensity class:
2: moderate amount of anger 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: The medicine is burning me This tweet contains emotions:
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: jk. started this week strong and it's still going strong. #optimism Emotion: joy Intensity score:
0.731
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: Hey folks sorry if anything offensive got posted on here yesterday my account got hacked. All fixed now though. I hope :-/ #angry #annoyed Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @BTS_twt people have so much negativity filled inside them but im always happy that in such a gloomy world someone like u exists Namjoon This tweet contains emotions:
joy, love
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: Just caught up with @RichardEGrant's wonderful new series on #EalingComedies. Infectious delight in every interview and film clip. This tweet contains emotions:
joy
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: Val is far too cheery for my liking ✋🏻 Intensity class:
-1: slightly negative emotional state can be inferred
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @macmacm43 jeezus God This tweet contains emotions:
joy
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 came to work for no reason 😩🔫\nI could've stayed in bed This tweet contains emotions:
anger, pessimism, sadness
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: Possible magazines over against put with versus thy joviality conjunction shower quotient sufficiently: BQAvtja Emotion: joy Intensity score:
0.440
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
Tweet: Somewhere between #hope and #despair the day after #meetingmyabuserincourt \n#DVSurvivor Intensity score:
0.365
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: •Days!'\nHe was itching for a fight..itching for the exhilaration of battle, of almost getting defeated, the adrenaline pumping•\n@RojinHitto Intensity score:
0.621
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: @5ftanomaly aside from that i'm all about pleasing the individual that i'm involved with, my pleasure comes from their pleasure. Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
Tweet: I don't even #feel #anger anymore can't explain it .. #Tulsa #Charlotte #Trayvon #SandraBland #Philando #Ferguson #BatonRouge #MichaelBrown This tweet contains emotions:
anger, disgust, pessimism
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: On my way rejoicing, to the pulpit @ Park City Baptist Church, Surrey BC. for Midweek Service. Emotion: joy Intensity class:
2: moderate amount of 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: @TedLeitner @jesseagler You two are TEN TIMES more interesting than those particular afternoon goofballs (I could say worse). Emotion: anger Intensity class:
0: no 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: @williamcontrol just preordered The Pale EP... Would have paid for the phone call... But I would have freaked out and not said anything Emotion: fear Intensity score:
0.521
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: Tasers immobilize, if you taser someone why the fuck do you need to shoot them one second later?! This is really sick! #wtf #murder This tweet contains emotions:
anger, disgust
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: @Takadad2 Hahaha!\rHe is a bully though!\rLike really a bully.\rOnly Sugita tamed the bully in him. This tweet contains emotions:
anger, disgust, joy
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #Whitegirlwednesday Intensity class:
3: very positive emotional state 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: @BritishBakeOff Val's 'soggy bottom' face will haunt me. Stay strong V-dog! Emotion: fear Intensity score:
0.521
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: @Cardschatter now that the Bills have a new offense of Cordinator do you think it's more difficult for the @AZCardinals to game plan? This tweet contains emotions:
anticipation
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: Caballero's passing remains absolutely dreadful I see! Emotion: fear Intensity class:
0: no fear can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: And here we go again 😓 #restless 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: @menglishmusic Thank you for the most fantastic evening, it was a brilliant show, you are a truly #sparkling talent, night over too quickly. Emotion: joy Intensity score:
0.780
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: @kaijinboyfriend --while being animated much more recently technology-wise which makes for a very nice combination/look) Emotion: joy Intensity score:
0.320
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: If i could just get my line to block! #germantownbroncos #lilleague #popwarner #Broncos #usafootball #lineman This tweet contains emotions:
anticipation, 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: feel really sad and down today😒 Emotion: sadness Intensity score:
0.833
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: So I went to a different grocery store, and they had no @DukesMayonnaise\nI had to buy Helmann's.\nLiterally shaking right now. Emotion: fear Intensity class:
0: no fear 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: 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: 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 that a black lady is painting herself white on the internet for laughs and likes... #terrible #BadForm #DidntLaugh Emotion: fear Intensity class:
0: no fear 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: @tariqmateen but sadly he missed some crucial and important points. Indian terrorism in pk, kal Boshan, etc.. Raw involvement Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: i've got a lot of tokens saved up and i wanna spam the event song but my eyes sting im so tired This tweet contains emotions:
joy, sadness
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: so lost i'm faded Emotion: sadness Intensity score:
0.729
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: @Ms_Asia_Pacific @jgsuing @PilosopoTanya @HuffingtonPost @HuffPostPol as a fellow UP grad, i shiver at the shallowness of his arguments This tweet contains emotions:
anger, disgust, fear
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: If my concerns & anxiety don't matter to you then I shall return the favor. #EyeMatter Emotion: fear Intensity score:
0.729
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: @thenthapple Haha I like the optimism cause I'm the same, but it doesn't make this situation any less mind boggling. Emotion: joy Intensity class:
1: low amount of joy 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: @BokuNoGio AND his momma was worse than Tony sopranos momma #wow #history #major This tweet contains emotions:
anger, disgust, surprise
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: 4-2 Canada final tomorrow #WCH #Predictions #optimism #Canadian 🇨🇦 This tweet contains emotions:
joy, optimism
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: It's not that the man did not know how to juggle, he just didn't have the balls to do it.\n#funny #pun #punny #hilarious #lol This tweet contains emotions:
joy
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: LOVE LOVE LOVE #fun #relaxationiskey This tweet contains emotions:
joy, love
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: When we give cheerfully and accept gratefully, everyone is blessed.\n»Maya Angelou\n\n@DrMayaAngelou #RIP #MayaAngelou This tweet contains emotions:
joy, optimism, sadness, trust
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I'm highly animated even though I'm decomposing. Emotion: joy Intensity class:
0: no joy can be inferred
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive).
Tweet: Never let me see you frown Intensity score:
0.403
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: Watch this amazing live.ly broadcast by @broitzmax #lively #musically Emotion: joy Intensity score:
0.480
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: @BeeTuppy We're sorry to hear about the issues and how this is making you feel. We don't like to hear our customers being unhappy :-( We Emotion: sadness Intensity class:
1: low amount of sadness 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: @Gielnorian @HedonismGaming cmode grimrail made me want to eat angry bees Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #TerrorStatePak we r confirm that #navazsharif is post graduate distinction student of university of #terrorism. He can't spare himself. Emotion: fear Intensity class:
2: moderate amount of fear 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: @BeeTuppy We're sorry to hear about the issues and how this is making you feel. We don't like to hear our customers being unhappy :-( We This tweet contains emotions:
sadness
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: Rooney = whipping boy. #mufc This tweet contains emotions:
joy
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: @Adrian_Specs Far from safe and staid I found it horribly OTT at times while everyone seemed to be trying just a little too hard. Not for me Emotion: sadness Intensity score:
0.479
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: @cc_yandian @HillaryClinton her team must draw from a hat for daily personality #drugged #angry #yeller #quiet #screamer #😂😂 This tweet contains emotions:
anger, disgust, sadness
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @Yoshi_OnoChin can you please not have Canadian players play US players, that lag is atrocious. #fixthisgame #trash #sfvrefund Emotion: anger Intensity score:
0.646
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: Friday is here, and we are open tonight and tomorrow. Get a jump on your Halloween and come play with us. #hauntedattraction #tulsa #haunt This tweet contains emotions:
joy
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: Theyve substituted the hood for a badge and gun.' Public opinion is indictment of Charlotte police. #dark #sadtimes #america #race This tweet contains emotions:
anger, disgust, pessimism, 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: I assume that people pick up on my joviality coz I lol a lot but it's just not working. Maybe I need to get heavy handed with emoticons? Ha Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Migraine hangover all day. Stood up to do dishes and now I'm exhausted again. GAD, depression & chronic pain #anxiety #pain This tweet contains emotions:
anger, disgust, fear, sadness
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: Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @Budget car rental you have made realize why I always use @nationalcares!!!! What a #nightmare!! #disgusted Emotion: fear Intensity score:
0.729
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: @Doubtism I'm not on about history or other people, I'm on about you. I've bullied no one, I make three posts and you attack #bully Emotion: fear Intensity class:
1: low amount of 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: Watch this amazing live.ly broadcast by @izzybuzy365 #lively #musically Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
Tweet: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #sad #needsmoresleep This tweet contains emotions:
pessimism, 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: Some of these people at this protest are just there for the adrenaline rush. #depressing Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
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: @reinervshunter you got this #staystrong #smile #yourebeautiful Intensity score:
0.800
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: Taking umbrage because Jimmy Carr claimed that Bilbo Baggins went to Mordor on 8 out of 10 cats does Countdown. Know your Baggins', mate. Emotion: anger Intensity score:
0.375
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: @ManUtd Rooney needs to come off! Absolutely dreadful! 🙈🙈🙈 class goal from @carras16 @carras16 showing why he should be in the team!! Intensity class:
-2: moderately negative emotional state can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: You don't know what to expect by Brendon's video lmao LA devotee video got me shook #panic Emotion: fear Intensity class:
0: no fear 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: Greatest sign of trust is me giving you my laptop or phone without hesitation 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: @HoustonTexans just trying to go home tonight? A run on 2nd and 20 and a run on 3rd and 20? That's what champs do... #sike #losers Emotion: fear Intensity score:
0.260
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: We're very busy #coding a whole network manager for #unity3d based on #steamworks networking. #gamedev #indiedev #3amDeadTime #game Emotion: fear Intensity class:
0: no fear can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: @Naya_Eclissu + me!'\n\nAnd that's when she suddenly became quiet as her lips started to tremble \n\n'...........Naya'\n\n'I don't want to + 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: @StrangeFacesLA why doesn't this account follow me Emotion: anger Intensity score:
0.312
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: @MoviesTVNetwork Wow, did you get a really good buy on a bunch of '70's movies? There were bad then and are worse now! #awful Emotion: fear Intensity class:
0: no fear can be inferred