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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: @NHLstoreNYC cheering for @TeamNA_WCH and @HC_Men
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? #rage. #iphonePhoneHome
This tweet contains emotions:
|
anger, disgust
|
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: @Aamnaa___ @drkarthik_n your per capita income is almost same like us. Gini Coefficient is very dismal. Ambitions are high but output Zero.
This tweet contains emotions:
|
anger, disgust, pessimism, sadness
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: Well look at the bright side. You found a use for that rope #TipsToSurviveAPowerOutage
Intensity score:
|
0.532
|
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: F'n morons u23 SMFH can't just be lackadaisical
Emotion: sadness
Intensity score:
|
0.417
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Why bother tweeting poor men's? \nWhat good does it do? If I'm unable to be cheery, I go quiet. Missed you, btw
Emotion: joy
Intensity class:
|
0: no joy 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: So drunk me hid my keys very well sober me couldn't find it anywhere
This tweet contains emotions:
|
sadness
|
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind.
|
Tweet: #GADOT please put a left turn signal at Williams and Ivan Allen Jr Blvd. This is absolutely ridiculous #ATLtraffic #horrible
This tweet contains emotions:
|
anger, disgust, fear
|
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
|
Tweet: Oh goodness I'm loving this rainy day. It's a head down, #creative cap on, & get #lost in your #thoughts kind of day 💭 ☺️ #art #create #biz
Emotion: sadness
Intensity score:
|
0.250
|
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: @tunaeP_ cheer up☺️
Emotion: joy
Intensity class:
|
1: low 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: I hate when I try to be playful and get shut down lol ...Why so serious🙁
Emotion: joy
Intensity score:
|
0.167
|
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: Kayaking is merriment together with sevylor inflatable kayaks: eYGgJxMl
This tweet contains emotions:
|
anticipation, joy, surprise, trust
|
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: @BigBossPeltonen \nLikewise #death #cutting
Emotion: fear
Intensity score:
|
0.625
|
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: After this news I'm supposed to be so damn happy and rejoicing but I'm here like 😩😔😭😞
This tweet contains emotions:
|
disgust, joy, pessimism, 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: He has that charming smile that can really make you smile too. Believe me.
Emotion: joy
Intensity score:
|
0.580
|
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: @PatriotsInform I don't see why you think we'll have a dumbed down simplified offense with Brissett. He comes from a very complicated system
Emotion: anger
Intensity score:
|
0.438
|
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: @KristenWACamera I really enjoyed both episodes. I had a bit of a gloomy day today but I feel a sense of inspiration from listening.
Emotion: sadness
Intensity score:
|
0.479
|
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: @chrislhayes It's hard for most folks to realize how deep the hatred is until you dive into the murky end of the pool. This guy is nuts.
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness can be inferred
|
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: @phil500 \nSo sadden \nSpunky a beautiful dog\nA sad story a lovely happy\nAn loved dog \nPlay little one have fun you\nare so loved
Emotion: sadness
Intensity score:
|
0.452
|
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 had really strange and awful dreams last night. I'd didn't even eat cheese before bed #lovemysleep
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: He's intimidated by my work ethic I think he knows I want his spot 🤔😉😂😂
Emotion: fear
Intensity score:
|
0.333
|
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: Huns are like a box of coffee revels #horrible
Emotion: fear
Intensity score:
|
0.333
|
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: Bunk ur class📚 at least once in your life time cuz later when u look back good marks will not make u happy but memories😊 will' -APJ
Emotion: joy
Intensity score:
|
0.646
|
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: @TikiTakaConnor Eduardo without injury was honestly amazing like so sad he's not looked at in the right light because of his Injuries.
Emotion: joy
Intensity score:
|
0.303
|
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: This anger inside I turned to fuel, I burned and watched myself spin down, like inferno types,
Emotion: anger
Intensity class:
|
3: high 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: 🏆 #Success is the best #revenge. Whatever you're thinking about doing ... do something better. ⭐️⭐️⭐️⭐️
Emotion: anger
Intensity score:
|
0.250
|
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: To give cheerfully.
Emotion: joy
Intensity score:
|
0.442
|
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: Had a coworker look at her phone and say, cheerfully, 'oh look, Kap's getting death threats now.' 🙄. Then she goes to say the 49ers are
This tweet contains emotions:
|
disgust
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @chlobiddzx It will come good babe don't worry 😘😘
Emotion: joy
Intensity class:
|
1: low amount of 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: Pro-lifers are condemning #MenForChoice - but I haven't seen any of you criticize the dismal American foster care/adoption system.
Emotion: sadness
Intensity score:
|
0.458
|
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: *violently screams at the four winds* WE AINT EVER GETTING OLDER *cute jovial rhythm starts* *moves hips along and waves arms in the air*
Intensity class:
|
1: slightly positive emotional state can be inferred
|
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: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious
Emotion: sadness
Intensity score:
|
0.312
|
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: @Uncle_Brown22 yeah dude! Appreciate the #support! #Notorious on ABC, peep it! #grateful
This tweet contains emotions:
|
joy, love, optimism
|
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: When you forget to mention you were bought dreamboys tickets 🙄😂
This tweet contains emotions:
|
joy, love, sadness
|
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state.
|
Tweet: Movies on my to-watch list: Spider-Man Homecoming and War For The Planet of The Apes. 😍 #excited #movies
This tweet contains emotions:
|
anticipation, joy, optimism
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: When your body says FUCK YOU BITCH, You ain't sleeping\n #sleep #cantsleep #drained
Emotion: fear
Intensity class:
|
1: low amount of fear 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: @Nikhilv95 @LydiajaneF I wish, I really, truly wish, that I had just a modicum of your banter.
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: EEEEEKKKK!!!!\nProduct LAUNCH 😍✋💖\nI'm am literally B•U•Z•Z•I•N•G!!!\nSingle sachets 😍😍\n \nMessage me for yours! 😜🙆💜#loveyourlifestyle #shakes
Intensity class:
|
3: very positive emotional state can be inferred
|
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: @JaredWyand Maybe if it was transgender the media would cover it #outrage
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Since the 'update' my @iPhone loses power nearly 40% faster.
Emotion: anger
Intensity class:
|
1: low 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: depress 😭
Emotion: sadness
Intensity class:
|
3: high amount of 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: snap: hiAleshia 😃
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state.
|
Tweet: @DailyMailCeleb @KTHopkins Katie I love how you describe yourself as 'normal'. Really you're anything but! #hilarious #neverchange
This tweet contains emotions:
|
joy, love, optimism
|
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: if y0ure in tr0uble d0nt hesitate t0 ask f0r help
This tweet contains emotions:
|
anticipation, joy, optimism, trust
|
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: the grave of a beat, a bravehearted cave lover, cage lover, sage #lover who made #soup of you, twisted to spoony #melancholy, spikes, spices
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: Yo Yo Yo,my name is #DarthVader \nI feel like I need to puff on my inhaler (I'm no rapper but that was some sick bars) #bars #rap
This tweet contains emotions:
|
disgust, sadness
|
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: Watch this amazing live.ly broadcast by @maisiev #lively #musically
Emotion: joy
Intensity score:
|
0.542
|
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: It's meant to be!!
This tweet contains emotions:
|
love
|
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: i stopped watching gotham cause they dropped off tabitha and barb's relationship and made her pine after the main
Emotion: sadness
Intensity score:
|
0.461
|
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: Lunatic Asylum: The place where optimism most flourishes.
This tweet contains emotions:
|
optimism
|
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: I hate freaking out and ruining things.
Emotion: fear
Intensity score:
|
0.720
|
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: @kymwhitley hello Miss Lady I'm sure today brings you happiness and laughter use your voice also to make us laugh god knows we need it
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: @RogueCoder250 We are in so much trouble!! I don't think the Rev will see the funny side of our project. #nervous
This tweet contains emotions:
|
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: @OddNMacabre One day I'm drinking a bottle of nyquil, the other I'm sleeping zero. My lovely #horror fam, which should i watch? 🎩
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: @m_warner21 Yikes. The wrath of Maddie...
Emotion: anger
Intensity score:
|
0.521
|
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: Good #CX most often doesn't require all that much. #smile, #care, #relate and be #helpful. Thanks, Lakis Court Hotel in #cyprus
Emotion: joy
Intensity class:
|
2: moderate amount of joy can be inferred
|
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: @AllegedLowbrow It's 'Eye-for-Eye'. Indian Army never forgives, Never Forgets. They always take revenge, Pakistan breaks laws, I.A follows
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: @JessiMcCree Gabriel would eventually start frowning, gaining conciousness. Which was apparently really painful by how tears formed in the--
Emotion: sadness
Intensity score:
|
0.542
|
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: Whenever I turn on the radio and hear Bob Dylan's Knocking on Heaven's Door being played, I assume he's died. #relieved #notyet #someday
Intensity class:
|
-1: slightly negative emotional state can be inferred
|
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: @RealMichaelKay Annoys me to about the Ortiz tribute too, how would the Oriole fans and organization feel if Yanks did that to them? #awful
Intensity class:
|
-3: very negative emotional state can be inferred
|
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
|
Tweet: Grateful for all the hungry people in my life! Hungry to learn, change, grow, help, etc - not sure anybody has it better!
Emotion: anger
Intensity score:
|
0.396
|
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: Kik me I want to swap pics I will post on my account anonymously if you wish Kik: vsvplou #Kik #kikme #snap #nudes #tits #snapchat
Emotion: anger
Intensity score:
|
0.292
|
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: @Kim_is__bored exactly what I have been saying on fb.. #bitter
Intensity class:
|
-2: moderately negative emotional state 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: Why does Candice constantly pout #GBBO 💄😒
Emotion: sadness
Intensity score:
|
0.396
|
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: 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: 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: So happy to be home from Ibiza the place is some thing else mad gaff that , need find a bird now I wanna start doing romantic things now 😂😂
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: I'll find Myself smiling and even laughing at jokes that I don't even think are particularly funny, and I know it's because YOU love them!
Intensity score:
|
0.741
|
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: @CGasparino Give it up Gas, I don't hate u, I just don't respect ur rudeness.
Emotion: fear
Intensity class:
|
0: no fear 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: @CNN & @donlemon must be rejoicing ovet #Charlotte protests. \n#NorthCarolina
Emotion: joy
Intensity score:
|
0.280
|
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: @ScottCarmichae1 @Murican_Stuff don't fret -- this guy is mad because when @realDonaldTrump is elected he might have to get a real job
Emotion: sadness
Intensity score:
|
0.312
|
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: I love my black people..... I really really do. But .... my people really do irritate the living hell outta me all cause I'm different. 😑
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!!
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: Every day I think my #house 🏡 is #burning 🔥 but it's always just my neighbor burning their #toast! 😷😡🍞
Emotion: anger
Intensity score:
|
0.500
|
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: Yall rlly gotta stop lettin bees put fear in ur heart. unless ur allergic, I'm not tryna see u run around from a fuckin bee...chill. u soft.
Emotion: fear
Intensity class:
|
0: no fear 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: Haven't gotten one hour of sleep... Today is going to be a fun day 😐 #restless
Emotion: fear
Intensity score:
|
0.750
|
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: @GSchwartz_ it wasn't a joke .
Emotion: fear
Intensity class:
|
0: no 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: Happy Birthday to my favorite author, @StephenKing #writer #author
Emotion: fear
Intensity score:
|
0.208
|
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: @ETimsNet I wanted him dropped a while ago. Its a concern for us no doubt
Emotion: fear
Intensity score:
|
0.500
|
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: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness #terrible
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: Fosu-Mensa is having a nightmare 15 minutes. Difference between Premier League reserves and League 1 is still wide
Emotion: fear
Intensity score:
|
0.375
|
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: I wish I could fast forward 3 months from now, I'll know then where I'm at with my girl, my classes, and basketball. Rn I have pure #anxiety
Emotion: fear
Intensity score:
|
0.771
|
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: Accrington Stanley? Who are they? Exactly. Things looking dire for West Ham despite the win. What's changed since March? #bbcfootball
This tweet contains emotions:
|
anticipation, disgust
|
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: 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: 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: #Always #borrow #money from a #pessimist. He won't #expect it #back.
This tweet contains emotions:
|
pessimism
|
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: Watching Paranormal Activity: The Ghost Dimension. I'm not sure how I feel about it yet.
This tweet contains emotions:
|
anticipation, fear, surprise
|
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: Theme of week: Ask the Lord for strength & perspective to persevere in #integrity and effort, despite being #disheartened & disappointed.
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: @WhoIsThisCaleb you could leap to your feet dramatically, plant one foot on the seat of your chair, and let out that jaunty tune!
Emotion: joy
Intensity score:
|
0.583
|
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: Like he really just fucking asked me that.
Intensity class:
|
-2: moderately negative 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: @StarklyDark 'Come here. Come on. Into my arms. I'm not going anywhere, Tony, I swear.' Steve told him, quiet and solemn.
This tweet contains emotions:
| |
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: @DirtyDucko @funder I wish I could like this twice. #hilarious
Emotion: joy
Intensity score:
|
0.594
|
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: That moment when the worry is lifted #grateful
This tweet contains emotions:
|
joy, love, optimism
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: Sometimes I watch shitty tv to reinforce never giving up cuz if something is that fucking awful on tv, I still stand a chance. #optimism
Emotion: joy
Intensity score:
|
0.104
|
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive).
|
Tweet: @luxbet Did you even give out any pizzas ? Serious fail #hungry #hangry
Intensity score:
|
0.328
|
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: Oh @BentleySystems what hast thou done to thy configurations? #despair
Emotion: sadness
Intensity class:
|
1: low amount of 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: Tremor!!!\n #tremor
Emotion: fear
Intensity score:
|
0.740
|
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: @morninggloria I came for the 'damn boy' jokes but stayed because you are great at your actual job 👍🏾
Emotion: joy
Intensity score:
|
0.516
|
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: @Jen_Lee @mostlymartha @edotwoods we just found thin mints in a freezer clean. i couldn't be more elated.
Intensity class:
|
2: moderately positive emotional state 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: Honestly don't give af who wins out of us and pine, I'm just worried about getting drunk Saturday night😂
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
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: @chrisyour Don't be sad, ultimately it's apparently not supported completely but mostly working :-)
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: @JohnVerdejo Mannn I can't count how many times I've had the '#PR's power grid needs some serious updating' conversation...
Emotion: sadness
Intensity class:
|
1: low amount of sadness can be inferred
|
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