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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: A #smile brightens your day and the day of everyone around you, so remember to #smile, it's #free. :-)
Emotion: joy
Intensity class: | 3: high amount of joy 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: Your boy' is having a nightmare @VivaLaSergio
Emotion: fear
Intensity class: | 1: low amount of 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: @TeamShanny legit why i am so furious with him, people are such fucking idiots.
Emotion: anger
Intensity class: | 3: high amount of anger 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: Just watched Django Unchained, Other people may frown, but I titter in delight! 2/5
Emotion: anger
Intensity class: | 0: no 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: @MichaelSalfino It still destroys Fear The Walking Dead. That show is horrible
Intensity score: | 0.148 |
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: @ccrago It was dreadful, even after he met the Catfish he still thought it was her!
Emotion: sadness
Intensity score: | 0.542 |
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: Hi Luke hemmings\n\n💐🌸💐\n\nIf I had a flower for every time you made me smile, I'd have a garden. Please follow me? \n\n💐🌸💐\nI love you. x16,092
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: Still waiting to see if my @london2012track will make an appearance next week - two months today it was ordered #badservice
Emotion: fear
Intensity score: | 0.453 |
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: @JackEvans711, you are the best Whiney Jerkass Heel since @IAmJericho's heyday in WCW. \n #LuchaUnderground
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @Ashleyavitia_ don't leave me
This tweet contains emotions: | fear, 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: @ClaireBlair27 See, that's how you and Michelle are so cheery!
Emotion: joy
Intensity score: | 0.500 |
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: 4-2 Canada final tomorrow #WCH #Predictions #optimism #Canadian 🇨🇦
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: Okay~ #deepbreathes ☺️ we can do this @sydneyswans 💪🏻🔴⚪️ #cheer #cheer & see you on the other side peeps ❤️ #AFLCatsSwans #ProudlySydney
This tweet contains emotions: | joy, optimism |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Hannah: 'This week on Survivor: Find out who is more buoyant. Gen X or Millenials!' #survivor
Emotion: joy
Intensity score: | 0.520 |
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: Zero help from @ups customer service. Just pushing the buck back and forth and promising callbacks that don’t happen. #loathing
Emotion: anger
Intensity score: | 0.646 |
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: so ef whichever butt wipe pulled the fire alarm in davis bc I was sound asleep #pissed #upset #tired #sad #tired #hangry ######
Emotion: anger
Intensity score: | 0.771 |
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: The American Idiot record turns twelve today it changed my preppy middle school heart into a desolate punk rock desert I am forever grateful
Emotion: sadness
Intensity score: | 0.271 |
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: 6. 5 minutes to perform and I'm #nervous I wish these noises would stop #handicapped #annoyed
This tweet contains emotions: | anger, disgust, fear, 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: this girl at my new school is so pretty i am
Emotion: fear
Intensity score: | 0.208 |
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: @andrew_jrt I don't really understand the burst and semi auto version bc the damage doesn't change so those are essentially useless
This tweet contains emotions: | anger, disgust |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @KatelynKolsrud thanks mucho kate💕 #sober
This tweet contains emotions: | joy |
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 just heard the most incredibly transcendent song ever & now I feel high & fucked up yet joyful & I will never be the same
Emotion: joy
Intensity score: | 0.607 |
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: Watch this amazing live.ly broadcast by @ittzdevin #musically
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: @7we4k LordDerply for it. It's like yugioh for animated shows!
Emotion: joy
Intensity score: | 0.438 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: #twd comes on soon #happy
Intensity score: | 0.932 |
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: @HMiglino @CParks777 @Coco_Wms @bodyfit67 @TruthEqualsFact @politicususa I have never been more anxious of a election in my life‼️ #fearful
Emotion: fear
Intensity score: | 0.833 |
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: @PatBlanchfield so you mean “like Uber but for despair for someone other than the driver'
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: @m_warner21 Yikes. The wrath of Maddie...
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @fleetstreetfox It's buzzing pathetically for sympathy if you let it out it will twirl it's moustache, chuckle and sting you #Psychowasp
This tweet contains emotions: | anger, disgust |
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: @TheMandyMoore You are beyond wonderful. Your singing prowess is phenomenal but damn... I'm just elated to watch you act again. #ThisIsUs 珞
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: need to sta dating again.I m bored #redheadteen #boldandbeautiful #lost #500aday single men dating Schkeuditz
Emotion: sadness
Intensity score: | 0.312 |
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: Especially when it comes to voicing a displeasure, if you can't tell me straight up then hold your peace ✌️️
This tweet contains emotions: | anger, disgust |
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: @AlbertBreer @jetswhispers Be sure and switch it over to cable news - cheery
This tweet contains emotions: | joy, optimism |
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: @Hoopdawg87 @MickThePerm Meanwhile white cops keep killing black people. But there's less outrage about that. Strange society that.
Emotion: anger
Intensity score: | 0.500 |
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: How is it suppose to work if you do that? Wtf dude? Thanks for pissing me off.
This tweet contains emotions: | anger, disgust |
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: revenge
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: @TheMandyMoore You are beyond wonderful. Your singing prowess is phenomenal but damn... I'm just elated to watch you act again. #ThisIsUs 🤗
Emotion: joy
Intensity class: | 3: high 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: @Malkarii_ Korgoth of Barbaria for brutality, King Julian for hilarity, and Ariel... Because hot...
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: @ArtyBagger With or without cake seeing your wee cheery face is always a joy xx
Emotion: joy
Intensity score: | 0.729 |
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: Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do #dread
Emotion: fear
Intensity class: | 1: low amount of 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: It's 5:55am. I'm hungry but there is no food.
Emotion: fear
Intensity score: | 0.417 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: @rosalarian i hate post con blues! But i avoided the plague too yay!! Yay constant hand sanitizer!!!
Intensity score: | 0.534 |
Task: Determine the most suitable ordinal classification for the tweet, capturing the emotional state of the tweeter through a range of positive and negative sentiment intensity levels. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Never a dull moment when talking to Nell 😂😂😂😂😋
Intensity class: | 2: moderately positive emotional state 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: @iAmSJ I'm so mad for our clients I'm furious lmao
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: Go away please ... I'm begging »»» #depression #anxiety #worry #fear #sadness \nDreams of joy and my baby to be found...Sits on #AndisBench
Emotion: fear
Intensity score: | 0.875 |
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: Look at us, smiling in the photograph♪ You can see the secrets behind the fake smiles♪ (*・ω・*) (©FACT「a fact of life」)
Emotion: joy
Intensity score: | 0.458 |
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: Learning how to use twitter #lost
This tweet contains emotions: | anticipation, fear, sadness |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @MacEngelProf as a fact for levity, movie theaters on Post actually did play the N.A when I served; was the best part of movies like TheHulk
This tweet contains emotions: | anticipation, joy, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Point scorning and fury at Labor does nothing to address long term detention and the need to resettle #asylumseekers from #manus and #Nauru
Emotion: anger
Intensity score: | 0.458 |
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: A former diplomat is quite gleeful about the situation of Pakistan on @TimesNow\nNot quite stiff upper lip of diplomacy seen normally
This tweet contains emotions: | anger, anticipation, disgust, joy, surprise |
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: This all resent #India #Pakistan problem is save #NawazSharif\n@ImranKhanPTI\n@PTIofficial
This tweet contains emotions: | |
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: Follow this amazing Australian author @KristyBerridge #fiction #zombies #angels #demons #vampires #werewolves #follow #authorlove
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @DDandDeltaboys will be playing in the Bridge Bar @RameltonWhatsOn this sat (24th Sept) #blues #rhythmandblues #ramelton #donegal
Emotion: sadness
Intensity class: | 0: no 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: It feels good to get outside for a minute and get some fresh air. It's hard to stay cooped up inside all day
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: People too weak to follow their own dreams will always find a way to discourage yours.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @Gennneral thanks gen!! Love you miss you happy birthday natong duha 💘💘
Emotion: joy
Intensity score: | 0.792 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I need to stop second guess myself and just go with the first thought and go with it. #relentless
Emotion: anger
Intensity score: | 0.425 |
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: Ive felt surprisingly gloomy about my bad scouts today :'D but i recognize that it's all just RNG and yeah I didnt spend that many gems
Emotion: sadness
Intensity score: | 0.604 |
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: Good morning, Trondheim! #optimism #productivity ⛅️❤️🇳🇴🏢💻🖥🏋🏻💪🏼📺🍿
Emotion: joy
Intensity class: | 3: high amount of joy can be inferred |
Task: Classify the tweet into one of seven ordinal categories, indicating the intensity of positive or negative sentiment expressed by the tweeter and reflecting their current mental state. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Cassena13 I know if I wasn't an optimist I would despair.
Intensity class: | -2: moderately negative emotional state 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: The Sunderland time line is quite funny with all the doom & gloom in facing us and the long trip to us midweek. #whatgoesaroundcomesaround
This tweet contains emotions: | joy, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @carlymarierozy @makeupsue it's sad but now we are making our own children vulnerable to the same terror.
Emotion: fear
Intensity score: | 0.688 |
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: Happy Birthday, LOST! / #lost #dharmainitiative #12years #22september2004 #oceanic815
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: @Daniel_Sankey @hayleyp79 Haha.... Actually, after the Doggies I'm barracking for Anyone But GWS! #bitter
This tweet contains emotions: | anger, disgust |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @JohnRMoffitt This is the most grim piece of laughter I was stricken with all day.
This tweet contains emotions: | joy, sadness |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Don't be bitter
Emotion: anger
Intensity class: | 0: no 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: im crying katherine is the only one whos like talking to me during my anxiety attack im gonna faint
This tweet contains emotions: | fear, sadness |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: and claimed that all of the same things could scare us\nbut we were tough because of ancestry
This tweet contains emotions: | fear |
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: @TDsNation only good thing in madden is DC
Emotion: anger
Intensity class: | 0: no anger 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: @XGames looks exhilarating! Looking forward to seeing 👍🏼
Emotion: joy
Intensity class: | 3: high amount of joy 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: @SwiftShimada SPARKLES, proud little huff. Still posing mind you.
Emotion: anger
Intensity class: | 1: low 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: It's simple I get after two shots of espresso 'Grande, decaf, 130 degrees soy americano with extra foam' #barista
Emotion: fear
Intensity score: | 0.125 |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: if anyone spoils any of my fucking shows I will haunt you in the afterlife so help me god
Emotion: fear
Intensity score: | 0.451 |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I am just so bitter today 😐
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: #LMFAO @MSNBC 's #racepimp Tamron Hall used the words 'fscts' and 'MSNBC' in the same sentence #hilarity #libtard #biasedmedia #neverHillary
Emotion: joy
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: It hasn't sunk in that I'm meeting the twins
Emotion: sadness
Intensity score: | 0.396 |
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: My soul is weary of fighting the battles in this world. #BlackInAmerica #WeAreNotSafe
Emotion: sadness
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: @BlurtAlerts 'the darkest of nights can be bright, the solemn of faces lights up with a smile'. -@Totemprince believe in me, as I do in you
This tweet contains emotions: | anticipation, joy, love, optimism, trust |
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: @Steeeevie_ breezy luvvvv
Intensity score: | 0.645 |
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: Man Utd are shambles that was horrific 😭😭😭
This tweet contains emotions: | anger, disgust, fear, 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: Democracy doesn't work\n #mob #mentality #mass #hysteria #mongering #oligarchy
This tweet contains emotions: | anger, disgust, pessimism |
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: @Onision @Eugenia_Cooney annoyed by the good loving fans of Onision including myself Is really annoyed at how people just are too cheerful.
Emotion: joy
Intensity score: | 0.104 |
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: alternate reality where @PoetryFound has a comments section and you can give poems a cheery thumbs up or a disappointed thumbs down
Emotion: joy
Intensity score: | 0.246 |
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: 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 class: | 2: moderate amount of joy 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: @space_gayz high fantasy , i feel like you could make a melancholy college age slice of life thing work too
Intensity class: | -2: moderately negative emotional state 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: @loismackey_ @Dory nah way that's horrible
Emotion: fear
Intensity score: | 0.562 |
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: im crying katherine is the only one whos like talking to me during my anxiety attack im gonna faint
Emotion: fear
Intensity class: | 3: high amount of fear 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: I'm so so so excited for #UsernameRegenerated I can't wait! I wish I could get a signed copy! I'm so happy for you. @Joe_Sugg
Intensity class: | 3: very positive 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: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
Emotion: fear
Intensity score: | 0.480 |
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: Follow me in instagram 1.0.7 #love #TagsForLikes #TFLers #tweegram #photooftheday #20likes #amazing #smile #follow4follow #like4like #look …
This tweet contains emotions: | joy |
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: @pxrfectpeach it's got her little pout
Emotion: anger
Intensity score: | 0.458 |
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: @mark_slifer actually maybe we were supposed to die and my donation saved our lives?? #optimism
Emotion: joy
Intensity score: | 0.292 |
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: @vInZzzY we regret the inconvenience caused. We have noted your concern. We will get in touch with you soon to discuss. Rgds, Abhijit
This tweet contains emotions: | anticipation, optimism, 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: My nephews n cousins are nowhere near bad guys, but they could be killed @ any moment by a cop that thought they were bc of their color
Emotion: sadness
Intensity score: | 0.688 |
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: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18 #anxiety
Emotion: fear
Intensity score: | 0.479 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @TheDemocrats dilemma, blaiming everything on the Bushes, but acting gleeful over their endorsement. #Election2016 #Trump
This tweet contains emotions: | anger, disgust |
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 @matt.boss #lively #musicallyjh
This tweet contains emotions: | joy, 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: Does anyone remember a movie that is animated in the late 70's called Shame of the Jungle John Bulushi was in it wild if that's your taste
This tweet contains emotions: | anticipation, joy, love |
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: So happy I live in NYC! See you tomorrow .....@SamHeughan @Barbour
Emotion: joy
Intensity class: | 3: high amount of joy 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: @matildaswish it's great to see Matilda so happy in her new chair it will provide her with access to lots of new experiences. #smiling
Emotion: joy
Intensity score: | 0.708 |
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