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Holmeister
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AAID-clone

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Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive).
Tweet: @berniedole looks that way. But let's think about Rohan last week ... #optimism Intensity score:
0.776
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: @rtrn94 Mine is that the party did decide but the party has been slowly transformed into a vengeful hell-cult of white male resentment Emotion: anger Intensity score:
0.792
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: @CNN & @donlemon must be rejoicing ovet #Charlotte protests. \n#NorthCarolina This tweet contains emotions:
disgust, joy, love
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: I HATE little girls 😡😡 got a lot off growing up to do!!! Emotion: anger Intensity score:
0.688
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: Should of stayed in Dubai 😞 Emotion: sadness Intensity score:
0.708
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: Changed my clothes at work and had my pre-workout.. In route to the gym and there is traffic all over - pre workout kicking in.. This tweet contains emotions:
joy, optimism
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: #Followback Quote_Soup: Be happy not because everything is good, but because you can see the good side of everything. Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @rosalarian i hate post con blues! But i avoided the plague too yay!! Yay constant hand sanitizer!!! Intensity score:
0.534
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: @noris_prosk8r2 (Maybe don't provoke him in the future if you do not want to run the risk of him punching your board.) This tweet contains emotions:
anger, disgust, fear
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: @FitnessFirstAU something needs to be done about people hogging machines - nobody can use 3 machines at one time! #angry #notfair #whypay Emotion: anger Intensity score:
0.750
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: semores: let's get this. #mirth #SAW #keepthetradition 💜💛⚛🏵🍇🍋🌼🐤🐥👚😈😈👾🧀 This tweet contains emotions:
joy, love, optimism
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: searching for what pro and academic writers have to say about #writing #anxiety and #writersblock Emotion: fear Intensity score:
0.729
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: This is the first time I've been sober on my birthday in 6 years. #recovery #sobriety #sober #soberissexy #sobernative Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: He accusd India of HR violations in Kashmir BUT refusd to name India's role in fomenting terror in Pakistan through TTP, BLA & MQM.shame #ZH This tweet contains emotions:
anger, disgust, sadness, surprise
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 encouragement today is my dog while my head is in a fog. #epicfail #feelingfedup #tired #ihaveheardeverything #wondering Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: @ExpressScripts u shd b embrrssd. u jack up my bp meds twice and it will still take 3-5 days? Not express at all. #expressscripts #horrible Intensity class:
-3: very negative emotional state can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @Burnt_Out_Darth @theaterofscifi thanks. #nightmare This tweet contains emotions:
fear, 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: “What worries you masters you.” - Haddon Robinson @ChoGMinistries #Jesusisthesubject #anxious Emotion: fear Intensity score:
0.438
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: #My #blood is so #bitter for satan to test #becouse #cleanse by the #blood of #Jesus christ....#amen. Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: That is at least the 3rd time the balls been burst in our games Emotion: anger Intensity score:
0.375
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: Will I offend you\nif I am truthful but kind\nor will you see why?\n@baffled #haikuchallenge This tweet contains emotions:
anticipation, disgust, fear
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: @atlabps He doesn't intimidate me, it just annoys me to have him by my side. The further he is, the better I feel 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: Instagram seriously sort your sh*t out. I spent ages writing that caption for you to delete it and not post it!! #fume #instagram This tweet contains emotions:
anger, disgust
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: @nickb88 @Buster_ESPN pine rider Emotion: sadness Intensity score:
0.295
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: @peachkellipop the whole thread is jovial and fun and then this comment is like FULL of misogyny Intensity class:
2: moderately positive emotional state 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: But When it come to a serious situation, I be glad I gave it deep thought 💯 This tweet contains emotions:
joy, optimism
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: No one wants to win the wild card because you have to play the Cubs on the road. This tweet contains emotions:
disgust, joy, pessimism
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @pottermore : I can't find my patronus, the website doesn't work, I can't even see the questions.... #sadness... Emotion: sadness Intensity score:
0.729
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: @GRIPLIKEAVICE_ I wouldn't mind if it didn't you know, threaten my job when I disagree. Puts a damper on things. This tweet contains emotions:
anger, disgust, sadness
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: im so mad about power rangers. im incensed. im furious. Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: 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 #lol #hilarious Emotion: joy Intensity class:
1: low amount of joy 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: Just got done watching Jeepers Creepers it was epic #horror #horrormoviesarebest #movies #movie #horrorfilm 🎬📽🎬 Emotion: fear Intensity score:
0.604
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: @ThatWhiteSoxFan @tbtrill not as sad as the White Sox playing record ;) Emotion: sadness Intensity score:
0.438
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive).
Tweet: Come and join in with #cakeclubhour tomorrow afternoon from 3pm! #bizhour #chirp Intensity score:
0.625
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: Candice's pout gets more preposterous by the week. This week it's gone a bit Jack Nicholson's Joker. #GBBO Intensity class:
-2: moderately negative emotional state can be inferred
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Aidy: *has a physics question*\nAidy: '... ok, I'm not gonna ask Tristan cause I don't wanna aggravate her' This tweet contains emotions:
anger, anticipation, disgust
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: #ObamaLegacy - weekly #riots and #terror attacks, >400k dead #Syrians, #Jews fleeing #persecution in Europe, #Christian #genocide in ME..... Emotion: fear Intensity score:
0.854
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: @IndyMN I thought the holidays could not get any more cheerful, and then I met you. #TheNiceBot Emotion: joy Intensity score:
0.917
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: @GSchwartz_ it wasn't a joke . This tweet contains emotions:
anger, disgust
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
Tweet: @TimewarpArcade @tenpencearcade Do you really have to pedal like a nutter to get anywhere? I remember it being more sedate. This tweet contains emotions:
anticipation, sadness
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @HillaryClinton did you see the gleeful look on @realDonaldTrump 's face when criminal Don King used the 'n' word to denigrate Blacks? This tweet contains emotions:
anger, disgust, joy
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: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #breezy #ChrisBrown #TeamBreezy This tweet contains emotions:
disgust, joy, 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: Up on melancholy hill Emotion: sadness Intensity score:
0.688
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: @BI_Science Opioid rapid pill plague...Speed generations Pulse Rapid rabid Impairment Ist Choice Stacked usage vs street ingestion demo US Emotion: anger Intensity score:
0.562
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: Can we go back 2 weeks and start again ?? This is seriously dreadful Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @SSheil coincidentally watched Ulzana's Raid last night - brutally indignant filmmaking. Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
Tweet: Take my kindness for weakness when you acting silly keeping it 100 ain't your forté #breezy #ChrisBrown #TeamBreezy Intensity score:
0.463
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: Well @AprilDRyan Trump's rabid base needs 2 hear this & U can always find an overseer like King to say it.\n@JoyAnnReid @SMShow @frangeladuo Emotion: anger Intensity class:
1: low 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: @gagasklaine it's old sadly This tweet contains emotions:
pessimism, 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: @zavvi @zavvihelp only offering 6 moth warranty #ps4pro #truth #ripoff This tweet contains emotions:
anger, disgust
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE. Emotion: anger Intensity score:
0.375
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: @PottzGaming hmu need players for lans next year. DM me. Need serious players. Im under org 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: gifs on iOS10 messaging app are hilarious. Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: It's sad when your man leaves work a little bit late and your worst fear is 'Oh no!! Did he get stopped by the police?!?! ' #ourworld Emotion: sadness Intensity score:
0.618
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: @o2academybham since when the fuck can you not stand at a concert? #raging Emotion: anger Intensity class:
3: high 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: @wombletheballer well done bro😏 #blues #stategames #captain #shootthegerman Emotion: sadness Intensity class:
0: no sadness 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: or when someone tells me I needa smile like excuse me ??? now I'm just frowning even harder are you happy Emotion: sadness Intensity score:
0.500
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @deshbhakthoon always unhappy and easily offended. Emotion: sadness Intensity score:
0.604
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 pessimist is someone who, when opportunity knocks, complains about the noise. This tweet contains emotions:
disgust, optimism, pessimism, sadness
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: It's dark Emotion: sadness Intensity score:
0.438
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: Optimism leads to success. - Bill Kerr @Coach__Kerr #success #goals Intensity class:
2: moderately positive emotional state can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: #hillaryclinton and their followers are #nervous of a #BernieSanders #millennials saying yes to a #woman #POTUS #JillStein not #warmonger Emotion: fear Intensity class:
0: no 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: whenever I put 'I wanna be adored' on my brother alwayss sings 'I wanna be a dog' instead just to irritate me This tweet contains emotions:
anger, disgust, sadness
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @winksahoy we about to get shit on by the wrath of winter out of nowhere Emotion: anger Intensity class:
3: high amount of anger 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: Love the new song I can't stop thinking about you by #sting. Emotion: anger Intensity score:
0.167
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: @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 + This tweet contains emotions:
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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know. Intensity class:
1: slightly positive emotional state 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: How can you blame the manager watching these players play? It's abysmal. Our team are dreadful. If Jose can't save us. No-one can. #mufc This tweet contains emotions:
anger, disgust, pessimism, 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: 9/30 Howland Cultural Center, #BeaconNy Vickie Raabin & Chris Raabe #blues #soul 8pm @LocalMotionWVKR @hiddencitiesnyc 845-831-4988 Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: @safety @Support \nHi 🌷\nWhy do you always suspend ISIS hunters\n \n👉@snafy2019\n\nKindly please reinstate our members\n*He fights terrorism d/n This tweet contains emotions:
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: @residentadvisor thanks for getting back to me, exemplary customer service for a loyal customer #jk #awful #residentadvisor #poorservice Emotion: fear Intensity class:
0: no fear can be inferred
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: @ctp It's daunting trying to follow Swift news/trends, and facing mind-shattering patterns/terms left and right. I'm trying to adopt gently. Intensity class:
0: neutral or mixed emotional state 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: Research has determined 70% of #laughter is actually #anxiety. Emotion: joy Intensity score:
0.231
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: Watch this amazing live.ly broadcast by @swagrman_fan #lively #musically This tweet contains emotions:
joy
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: Or when they hmu on snap, and I'm like.. which one are you. 💀 This tweet contains emotions:
anger
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: @megynkelly We should be ignoring these rioters like the current administration ignores #terrorism. This will obviously make it stop. Emotion: fear Intensity class:
2: moderate amount of 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: I have to finally tell my therapist about my sexuality ... last frontier ... not sure I can do it in the AM #SingleGirlProblems This tweet contains emotions:
anticipation, fear
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
Tweet: Got to be up in 4 hours to go back to work #cantsleep #excited #nervous Emotion: fear Intensity score:
0.700
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: @DDogsScout 'Oh!' Almost with odd cheerfulness, Big Boss offers: 'Muzzle flash blinding. Accidental by the guy who became my best friend.' Emotion: joy Intensity class:
0: no joy can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: @hoemanda69 wtf is tenacious and jubilant This tweet contains emotions:
anger, disgust, joy, pessimism
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: Set n alarm '@Innocentia_T: I wanna nap but I'm scared I'll wake up tomorrow .' Intensity class:
-1: slightly negative emotional state can be inferred
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
Tweet: angel delight is my everything Emotion: joy Intensity score:
0.660
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: Dream show how cisco 642-188 pdf melancholy: aHid Emotion: sadness Intensity class:
0: no sadness 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: Round 2 #panic #pcola Emotion: fear Intensity score:
0.604
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: If I spend even 5 minutes with you and you already irritate me I seriously will bitch you out until you shut up Emotion: anger Intensity score:
0.812
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, #Indians, can hold our heads up high and stay unafraid. The #UNGA is well-informed about #Pakistan's #terrorism business and deception. 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: Everything you’ve ever wanted is on the other side of fear. –George Addair #ThursdayThoughts #yourpushfactor #fear #life #quote This tweet contains emotions:
fear, optimism
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: I believe I'm gonna start singing in my snap stories on the tractor. Switch it up a little bit. This tweet contains emotions:
anticipation, joy
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: After this news I'm supposed to be so damn happy and rejoicing but I'm here like 😩😔😭😞 Emotion: joy Intensity score:
0.077
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: @Sirenja_ @JaxOfBo (like, hope i didn't offend with my commentary - it wasn't what I was intending!) Emotion: anger Intensity score:
0.500
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: @SomeonesAnIdiot @Sean10Lynagh due to hearty lawsuit NASCAR will raise beer prices $0.07 to accommodate for losses. 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: How many tweets is that now? How fast was I going? God, I love being #sober and #intelligent. Emotion: sadness Intensity class:
0: no 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: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to. Intensity class:
0: neutral or mixed emotional state can be inferred
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 need a 🍱sushi date🍙 @AnzalduaG 🍝an olive guarded date🧀 @lexiereid369 and a 👊🏼Rockys date🍕 Emotion: anger Intensity score:
0.271
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: @ImpugnValkyrie *I frown and cup your cheeks in my hands after you step aside.* Angela I care about you. And I don't know how else I can - Emotion: sadness Intensity class:
2: moderate 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: Our branch will be closed this Sunday, 9/25, in honor of the IRONMAN 70.3 happening in Downtown! Come cheer on race participants! Emotion: joy Intensity score:
0.604
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: smh customers getting angry at me bc i aint got no marlboro lights in the gas hut. i called them in 2 hours ago, fuck you. Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
Tweet: also who has amazon prime that would like to help a girl out LOL #serious Emotion: sadness Intensity score:
0.167
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: @tony_tr3 I'd say your outrage is the really FAUX outrage. Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: @Christy_RTR @doge_e_fresh I'm despondent This tweet contains emotions:
disgust, pessimism, sadness