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Holmeister
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AAID-clone

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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: sorry Main twitter im in depress Emotion: sadness Intensity class:
3: high amount of sadness can be inferred
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: @British_Airways #lost #bag #stillwaiting go home in2days. DM'd you my info and have rung 9times a day. What more can I do? #wheresmybag Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: @flutterpolitely she is from the heyday 80's -could go either way, writing should be stronger but don't know who will be sacrificed first This tweet contains emotions:
anticipation
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: Am I watching #BacheloretteAU or Zoolander ? #hilarious #samvrhys This tweet contains emotions:
anticipation, joy, optimism
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: Literally feels sg to be happy with sam😍 Emotion: joy Intensity score:
0.896
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 am a simple human being who just really loves @aliciakeys like truly, madly, deeply rejoicing in her existence, class and queendom This tweet contains emotions:
joy, love, 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: As your own lives in order to complete our amazing life journey successfully, it is there. 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: All work and no play makes Jack a dull boy Emotion: sadness Intensity score:
0.500
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: HartRamsey'sUPLIFT If you're still discouraged it means you're listening to the wrong voices & looking to the wrong source.Look to the LORD! This tweet contains emotions:
anticipation, optimism, trust
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: Honestly fuming Intensity score:
0.304
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: No, just tweet pictures of four fictional characters who describe you. One should be an animated character. @sunshinessp411 This tweet contains emotions:
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: @MericanMainer AWW. I had a Maine Coon when I was little named Ted Eddy the Wonder Cat. They're such good cats! Very playful and sweet Intensity score:
0.696
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: @SteveStratford9 @PaulTowheyJr @ClassicDrWho @BBC @bbcdoctorwho all those will get animated IMO. Companion changes/Monsters/Classics. Emotion: joy Intensity score:
0.292
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
Tweet: i have so much hw tonight im offended Intensity score:
0.323
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: @virginmedia I've been disconnected whilst on holiday 😤 but I don't move house until the 1st October 🤔 Emotion: anger Intensity score:
0.396
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: you never call me when your sober 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: jasperino - buoyant - Session.Six This tweet contains emotions:
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: @BowkerMorgan awe thanks morgs!!! love u lots girly ❤️😊❤️ Emotion: fear Intensity score:
0.062
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: Just joined #pottermore and was sorted into HUFFLEPUFF 😡😡😡 Intensity class:
-2: moderately negative emotional state can be inferred
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
Tweet: Americans as a whole are, for the most part, feeling borderline despair at the very least. Looking at a situation out of control. This tweet contains emotions:
anger, anticipation, disgust, fear, pessimism
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: Be joyful in hope, patient in affliction, faithful in prayer. Romans 12:12 This tweet contains emotions:
anticipation, joy, optimism, trust
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: .@Travelanswerman: When U ride on a pile of salt life is extra sweet! Always salty always savory! #surfing #aloha #smiling … Intensity score:
0.862
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: Val having a nervous breakdown #floss #GBBO This tweet contains emotions:
fear, sadness
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: @Dubai92 try asking for a cheeseburger with only onion & mustard at any #McDonalds #hilarious Intensity score:
0.717
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @LaureEve I am sitting here wrapped in a fluffy blanket, with incense burning, listening to Bon Iver and drinking mulled wine. I'm there. Emotion: anger Intensity score:
0.250
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: @MissFushiGaming I hashtag things and the kids always tell me to stop 😭😭😭😭😭 #sadness Emotion: sadness Intensity class:
2: moderate amount of sadness can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: *gets crushes on fictional and animated characters instead if real people* Emotion: joy Intensity score:
0.300
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: Donating to Trump puts a damper on a very exciting @Cubs season. Really bad look, Ricketts family. Emotion: sadness Intensity class:
1: low amount of sadness can be inferred
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Why do I have such bad anxiety it's annoying Emotion: fear Intensity class:
3: high amount of 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: @NeyaphemMaster @_James_Kellar_ @RavenMetamorph @MagnetoBroHood @jedi_paige Thomas' nervousness at being the group's focus is evident, 'I> Emotion: fear Intensity score:
0.562
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: it's so breezy out today, i can't go to back to school night with bare legs like i've had all day Emotion: joy Intensity class:
0: no joy 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: when you find out the initiative isn't even a thing 😧 Emotion: anger Intensity class:
0: no 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: @AmyMek this is so absurd I could laugh right now (if I also didn't feel like crying for the future of our country). #despair #wakeupcall This tweet contains emotions:
anger, disgust, 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: Projection is perception. See it in someone else? You also at some level have that within you. #anger #worry 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: why the fuck does my mum want me to put corn in the curry?! #grim This tweet contains emotions:
anger, disgust
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
Tweet: Niggas murking in each other. In murky water, I try to swim. Intensity score:
0.375
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: @gingermckchav @MichCorsilles @ArevaMartin @HarvardBLSA @ShareblueMedia Apparently nothing like the terror cops have of black people. This tweet contains emotions:
anger, disgust, fear
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: A cheerful heart is good medicine, but a crushed spirit dries up the bones. A wicked man accepts a bribe in secret to pervert justice. This tweet contains emotions:
optimism, pessimism
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: Skiving #Freshers2016 for a me day! #nails #sunbeds and #gym 😉💜👑 #priorities #student #studentnurse #pampered This tweet contains emotions:
anticipation, joy, love, optimism
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: @tcarrels \nSo when exactly did you lose your mind, pal? \n #Trump #fraud #misogynist #liar #psychopath #narcissist #conartist Emotion: fear Intensity score:
0.583
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: hi berniebrocialists of all genders: if I lived in a swingish state I would w/o hesitation vote Clinton & would do so w/o 'supporting' her Emotion: fear Intensity score:
0.336
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: You ever just find that the people around you really irritate you sometimes? That's me right now 😒 Emotion: anger Intensity class:
3: high 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: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic. This tweet contains emotions:
anticipation, joy, optimism
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: @88Palouseriver @ABC @NRA I rejoice everything time some moron is taken out of the genetics pool. Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Determine the appropriate intensity category of emotion E for the tweet, reflecting the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: I think it's time to change my #irate motif, now that #TalkLikeAPirate Day is over, but...Pirate Minion is so cute, I don't want to. 😟 Emotion: anger Intensity class:
1: low 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: Gemma Simmons is the bright spot of the premiere so far. #AgentsofSHIELD Emotion: joy Intensity class:
1: low amount of joy can be inferred
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
Tweet: #BridgetJonesBaby is the best thing I've seen in ages! So funny, I've missed Bridget! #love #TeamMark This tweet contains emotions:
joy, love, optimism
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: @Twitch how do I stop that horror movie themed commercial? Suddenly hearing screams is really not making me want to watch twitch. #anxiety Emotion: fear Intensity score:
0.979
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: My irritation level is at an all time high today 🙃 This tweet contains emotions:
anger, disgust, sadness
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: The boys rejoice as badger corner has been reclaimed for our first social of the year #cluboftheyear Emotion: joy 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: Every cal person I have on my snap has chic-fil-a on their story.. Lol #Yummy This tweet contains emotions:
joy, 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: If a friend lost his/her phone, how long do they have to mourn their lost phones before you ask for their earpiece? Emotion: sadness Intensity score:
0.458
Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
Tweet: Wine drunk is the worst version of myself ffs, don't even remember seeing basshunter Intensity class:
-3: very negative 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: Manchester derby at home #revenge Emotion: anger Intensity score:
0.211
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: @thatsabingo grim really Emotion: sadness Intensity score:
0.688
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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18 Emotion: fear Intensity class:
0: no fear 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: @damiandmusic hubby Noah shares this somber thoughtful photo of his one and only Dami. Ponytail, standout highlights beautiful picture, nice Emotion: sadness Intensity class:
0: no sadness 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: Rec'd call 2day from Haitian church we started in Florida some 15yrs ago. Preparing to acquire their own bldg. Wanted me to know. #rejoicing Intensity class:
2: moderately positive emotional state can be inferred
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: 2 days until #GoPackGo and 23 days until #GoGipeGo..... I'm so excited! Emotion: joy Intensity class:
3: high amount of joy can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: #ParentsofAddicts: let #wellness be your #revenge! -Al Anon speaker Emotion: anger Intensity score:
0.458
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: 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: 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: But uncle buck is on tho . #UncleBuck Emotion: joy Intensity score:
0.417
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: @RealBD_ @ReyesAverie 47 unarmed blacks killed by white cops in 2015. That many die every month in Chicago wheres the #outrage This tweet contains emotions:
anger, disgust
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: Last @LGCanada product I buy - I promise! Absolutely #CustomerService 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: #haikuchallenge #haiku\n\nThe crisp autumn air\nMy freedom purchased through death\nNo one will mourn me This tweet contains emotions:
pessimism, 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: @caseycdutch @m_rath that's what some rioters are doing Emotion: fear Intensity class:
0: no fear 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: @DonnyMurray I'm just no offended by stuff.We're gettin a situ where folk moan about the Polis/SNP but then happy to snitch when offended... Emotion: anger Intensity class:
2: moderate amount of anger 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: I'm about to block everyone everywhere posting about the storm. I think everyone is aware of the damn rain and what not so quit. #damn #rage Emotion: anger Intensity class:
3: high amount of anger can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: Im so angry 😂🙃 Emotion: anger Intensity score:
0.750
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: @PhilGlutting Hey There Phil Glutting thank you for following us, it's appreciated :) #smile This tweet contains emotions:
joy, optimism
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: When ya'll talkin about you know who I don't know who ya'll talkin bout, I'm on the new shit....chuckin up ma deuces......🔥🔥 #kanye Intensity score:
0.468
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: ... flat party and I instantly get bollocked about it. Emotion: anger Intensity class:
2: moderate 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: @Groupon_UK who do I contact about a shocking experience with Clear Sky Holidays booked through you guys?? #customerservicefail #dreadful Emotion: sadness Intensity score:
0.542
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: @SenatorReid @HillaryClinton @DanEggenWPost @realDonaldTrump Even the painting is orange! #terrible #Election2016 Emotion: fear 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: Puzzle investing opening portland feodal population is correlative straight a snorting infuriate: XLzjYhG Emotion: anger Intensity class:
1: low amount of anger 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: It's not #dread. It's called #Locks Emotion: fear Intensity score:
0.340
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: #India right of reply at #UNGA - #Pakistan preaching of human rights is by a country which is itself the global epicentre of This tweet contains emotions:
disgust
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: @LeeJarvis10 can't be following u pal he's smiling Emotion: joy Intensity class:
0: no joy 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: Pinky is so funny n jovial, bt she got emotional n just brought me 2 tears. I felt so bad for her #Ishqbaaaz Emotion: joy Intensity score:
0.160
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: @KWAYNTjoia it's exhilarating Emotion: joy Intensity class:
2: moderate amount of joy can be inferred
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 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: Always do sober what you said you'd do drunk. That will teach you to keep your mouth shut. \n― Ernest Hemingway #quote Intensity class:
-2: moderately negative 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: I was in the dark room for 58 minutes and failed every time I tried developing a photo I'm so frustrated with myself :') Emotion: sadness Intensity class:
2: moderate 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: SRV's 'Voodoo Child' is approximately 76 times better than Jimi's. #guitar #music #blues Emotion: sadness Intensity class:
0: no sadness can be inferred
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity.
Tweet: My bf drove out of his way after a long day just to spend 15 min holding me to make me feel better. How'd I get so lucky #lucky #happy Emotion: joy Intensity score:
0.938
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: #welfarereform should not be a 'model' for . This tweet contains emotions:
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 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: Some Erykah Badu to sedate me 💕 Intensity class:
1: slightly positive emotional state can be inferred
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: It's so gloomy outside. I wish it was as cold as it looked Emotion: sadness Intensity score:
0.542
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state.
Tweet: #GBBO is such a homely pure piece of tv gold. Channel 4 will attempt to tart it up. Mary, Sue and Mel gone. It's over. I'm out. 👋 #fuming This tweet contains emotions:
anger, disgust
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
Tweet: @NFYFC @Wilkster_ hmm, don't know many yf who are short on confidence! Wish I'd been one, This tweet contains emotions:
anticipation, sadness
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: Up on melancholy hill Emotion: sadness Intensity score:
0.688
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: Unbelievable takes 10 minutes to get through to @BarclaysUK then there's a fault and the call hangs up #fuming #treatcustomersfairly 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: # ISIS REFERENCES SCRUBBED? Federal complaint against suspect in NYC, NJ bombings appears to omit terror names in bloody journ... #news Emotion: fear Intensity score:
0.729
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: @LoisJoanneLane Wagging his tail at the praise, he paused, tilting his head as she took the frisbee from him, letting out a playful - Emotion: joy Intensity score:
0.562
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: And I would advise that everyone wait to watch @KevinCanWaitCBS ,or actually don't wait, just don't even watch it because it is #awful This tweet contains emotions:
disgust, joy, 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: onus is on Pakistan' : MEAIndia after #Uri #terror attack Emotion: fear Intensity class:
2: moderate amount of fear 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: But 'for me not to worry, they'll get a glass guy over and bill us for it' Emotion: fear Intensity class:
0: no fear can be inferred
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: a panic attack AND CALL YOURSELF A REAL FAN makes me so mad like i dont even have the words to explain. this is why some people give no + Emotion: fear Intensity score:
0.646
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: Forever angry that gh ruined Molly and morgan's bond/friendship Emotion: anger Intensity class:
2: moderate amount of anger can be inferred
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
Tweet: @winksahoy we about to get shit on by the wrath of winter out of nowhere Emotion: anger Intensity score:
0.625
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
Tweet: A #smile brightens your day and the day of everyone around you, so remember to #smile, it's #free. :-) Emotion: joy Intensity score:
0.792