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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: Having one of those #angry days. I will have to stop watching #news.
Emotion: anger
Intensity score: | 0.625 |
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: @edquinn63 how can you even forget to pick ur fave child up from school #offended
Emotion: anger
Intensity score: | 0.688 |
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: @alyankovic I really wish I could attend the show at RCMH. I'm there in spirit, cheering you and the dudes on! :)
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: @wabermes The @RavalliRepublic had a good one but then the reporter quit. #sad
This tweet contains emotions: | pessimism, sadness |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @Slippus @PureGym yeah I received a fine today which I am furious about, currently appealing it after being a member for so long...
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Love all the ex United managers on Twitter who form our fanbase. Honestly I despair at times. Just back the fucking team eh #MUFC
Emotion: fear
Intensity class: | 0: no fear 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: @KeithOlbermann depressing how despicable Trump, with no policies, campaigning on bigotry & rancour can be so close, evil immoral disaster
Emotion: sadness
Intensity score: | 0.708 |
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: @pianimadi regarde tes snap
Emotion: anger
Intensity class: | 0: no 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: @VanDashNessa @taotao_salupa5 Nobody in that street burning and looting and terrifying innocent citizens was there, either.
Emotion: anger
Intensity score: | 0.556 |
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: @cedricyarbrough We love you! #hilarious We are looking forward to SO much more! #kudos on the #pilot @Speechless_ABC #speechless
This tweet contains emotions: | joy, love, optimism |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: Not sure if thats an accomplishment or something to worry about
Intensity score: | 0.403 |
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: @TelegraphNews why is this evil corrupt fuck still knocking about? The wrong people die I'm telling you. Do you job grim reaper!
Emotion: sadness
Intensity score: | 0.583 |
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: @LeeJarvis10 can't be following u pal he's smiling
This tweet contains emotions: | joy, optimism |
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: I blame the whole season on Natalie! The season would have been so different had she not turned her back on her alliance! #pissed
This tweet contains emotions: | anger, disgust, sadness |
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: @RVAGameBreak @GAHSBasketball @GAJagsFootball \nGo Jags!!🐆 I think we have a good shot of beating Deep Run tomorrow! #revenge
Emotion: anger
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: need to sta dating again.I m bored #redheadteen #boldandbeautiful #lost #500aday single men dating Schkeuditz
This tweet contains emotions: | anticipation, pessimism, sadness |
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: so lost i'm faded
Emotion: sadness
Intensity score: | 0.729 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: testing
Intensity score: | 0.500 |
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: Why does having anxiety drain some much of your energy #anxiety #sotired #needtosleepforhours
Intensity score: | 0.406 |
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'm so nervous 😭
Emotion: fear
Intensity score: | 0.854 |
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: @laureeenwillam can't cope wi her sour face and tiny pout 😡😡
Emotion: anger
Intensity score: | 0.479 |
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: angry already
Emotion: anger
Intensity class: | 3: high 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: @asjoshtaylor sadly I don't think I'll see you on tour, but have fun, you're gonna rock! 🎉👌🏻💙 #HotForMeTour
Emotion: sadness
Intensity score: | 0.292 |
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: @Koishiteruze she was scare not knowing what to do
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: Just reached 10k followers - WOW - thanks blues #mcfc #ctid
This tweet contains emotions: | anticipation, joy, love, surprise |
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: Does anyone know, are both Sims in a dual sim phone both locked to the same network! #worry
Emotion: fear
Intensity score: | 0.680 |
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: Well my evaluation came back and i am minimally effective. Student test scores on the PARCC sunk my eval. it's time for me to quit teaching
This tweet contains emotions: | pessimism, sadness |
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: Did u laugh today? Laugh hard? I hope so..we NEED laughter now. #smile #love
Intensity class: | 3: very positive emotional state 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: Use your smile to change the world. Don't let the world change your smile.' #quote #actorslife #smile #love #hardworkpaysoff #fun
Emotion: joy
Intensity class: | 2: moderate 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: Man city's kit is dreadful!
Emotion: fear
Intensity class: | 1: low amount of fear 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: @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 class: | 1: slightly positive emotional state can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I have to finally tell my therapist about my sexuality ... last frontier ... not sure I can do it in the AM #SingleGirlProblems
Emotion: fear
Intensity class: | 3: high amount of fear 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: I start work tmrw yall, i'm nervous lol
Emotion: fear
Intensity class: | 3: high amount of fear 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: #Awareness seek #shelter .#Letgo Old #habit of chasing #desires resultin in #anger #fear #worry .#Choose #Satisfaction within #Peace #Relax
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: @Naya_Eclissu + me!'\n\nAnd that's when she suddenly became quiet as her lips started to tremble \n\n'...........Naya'\n\n'I don't want to +
Emotion: fear
Intensity score: | 0.646 |
Task: 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: @iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times
This tweet contains emotions: | joy, love, 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: Putin feels it acceptable to bomb & kill aid workers. Soon he may be sitting at the same table as Trump!! #Armageddon #USApleasedont #horror
Emotion: fear
Intensity class: | 2: moderate amount of 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: Being playful as shit😤
Emotion: joy
Intensity score: | 0.333 |
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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any
Emotion: joy
Intensity class: | 0: no 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: @warmneutrals 'passenger in car next to u cheerfully asks for a cigarette and then directions'
Emotion: joy
Intensity score: | 0.396 |
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: 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: 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: Ibiza blues hitting me hard already wow
This tweet contains emotions: | surprise |
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: Follow up. Follow through. Be . #success
Emotion: anger
Intensity score: | 0.125 |
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: @NRA @HillaryClinton She never said anything about taking away guns but I would now bc of your stupid scare tactics for gun sales.Sickening
This tweet contains emotions: | anger, disgust |
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: Even at this level, rojo still manages to play god damn awful. #MUFC
Emotion: fear
Intensity score: | 0.438 |
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: Be happy. Be who you want to be. If others don't like it, then let them be. Happiness is a choice. Life isn't about pleasing everybody....
Emotion: joy
Intensity score: | 0.520 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: When your sister is 19 and throws legitimate temper tantrums just to get attention..
Emotion: anger
Intensity score: | 0.500 |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Mista_Nightmare i dont understand why u do videos every week spend time with your family instead of working on horror #takeabreak
Intensity class: | -2: moderately negative emotional state 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: Tired of people pretending Islam isn't one of the most misogynistic religions, it's no coincidence Muslim countries are terrible for women.
This tweet contains emotions: | anger, disgust |
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: Taguchi engineering fashionable hale and hearty little game optimization: MqnAOcU
Emotion: joy
Intensity class: | 1: low amount of joy 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: Mate the thing I get excited about in my profession are mad. A client said she opened her bowels, I'm rejoicing
Emotion: joy
Intensity score: | 0.704 |
Task: Rate the valence intensity of the tweeter's mental state expressed in the tweet, assigning it a score on a scale of 0 (most negative) to 1 (most positive). | Tweet: @bldmovs sadly beautiful photo.
Intensity score: | 0.362 |
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: @bt_uk why does tracking show my equipment delivered, when it wasn't? Why is my service suddenly delayed? We've already 3 weeks. #fuming
This tweet contains emotions: | anger, disgust, sadness |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @JonRiley7 #VoteYourConscience or succumb to #fear? 'He is #scary, he is #dangerous!' -@HillaryClinton's #alarmist #PATRIOTACT platform.
Emotion: fear
Intensity class: | 1: low amount of fear 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: @pi6ie I want to achieve to your level of optimism
Emotion: joy
Intensity score: | 0.280 |
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: LORD MAKE ME AN INSTRUMENT OF YOUR PEACE — Where there's hate, let me sow love — Where there's injury, pardon — Where there's despair, hope
Emotion: sadness
Intensity class: | 1: low amount of sadness can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @The_Nasty_P now you gotta do that with fast n furious
This tweet contains emotions: | anger |
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: Feels grim not having your nails done
This tweet contains emotions: | disgust, sadness |
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: @KarenL109 replace the carpet!! #shocking !!!!
This tweet contains emotions: | disgust, surprise |
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: @GuardianAus @guardian because there is a realistic probability that a clown might be their next president. #clown #uspol #nightmare
This tweet contains emotions: | disgust, fear, sadness |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: At least I don't have a guy trying to discourage me anymore in what I want to do he will never become anything worth contributing to society
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
Task: Place the tweet into a specific intensity class, reflecting the intensity of the mentioned emotion E and the user's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: 😩😩😩😩 heads melted, very tired but can't sleep. #nightmare
Emotion: fear
Intensity class: | 3: high amount of fear 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: #IndiaMissingIndira that she could never solve Kashmir Problem and kept it burning for Vote Bank\n#TerrorStatePak
Emotion: anger
Intensity score: | 0.458 |
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: #smile every morning to a positive head start with your #clients relations
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: @CBSBigBrother she's pathetic!!! Hated Nicole for being cute & having a showmance & she couldn't get one! #bitter #uglycry #BBMichelle 😖
Emotion: anger
Intensity score: | 0.562 |
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: @safety @Support \nHi 🌷\nWhy do you always suspend ISIS hunters\n \n👉@snafy2019\n\nKindly please reinstate our members\n*He fights terrorism d/n
Emotion: fear
Intensity score: | 0.438 |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: My 2 teens sons just left in the car to get haircuts. I'm praying up a storm that they make it home safely!! #sad #TerenceCrutcher
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive). | Tweet: Optimism leads to success. - Bill Kerr @Coach__Kerr #success #optimism #goals
Intensity score: | 0.700 |
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: Too many are on their 'yeah, the thing going on with cops shooting innocent people is sad - but just not in my backyard, so..' #blm
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @ashleighjessica @zacflint1 I'd give that pout the firm D
This tweet contains emotions: | joy |
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: The two Brians, @BlackEyedNBlues & @onthehorn500, also known as the Nigella Lawsons of #blues & #pizza.
Emotion: sadness
Intensity class: | 0: no 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: new tires & an alarm system on my car. fwm now!
Emotion: fear
Intensity score: | 0.271 |
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: @ChrisWarcraft The concept that a gay magazine feels like it has to cover terrible people -because they’re gay voices- seems all upside down
Emotion: fear
Intensity score: | 0.417 |
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: I wish the next madden has a story mode too. Just like Fifa 17 #madden
Emotion: anger
Intensity score: | 0.312 |
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: Have any of you ever stayed in hostels overseas? My only frame of reference is the movie Hostel, and we all know how that went.
Emotion: sadness
Intensity class: | 0: no sadness 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: @THATSSHAWTYLO passed away early this morning in a fast and furious styled car crash as he was leaving an ATL strip club. That's rough stuff
Emotion: anger
Intensity class: | 0: no 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: Q&A with N. Christie @westernuHistory: fr. @marybethstart: What would Peter and Dardanella think of us knowing? #poorthings
Emotion: fear
Intensity class: | 0: no fear 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: I wonder what American city will be next to protest about police shootings. Who's next? Smh. #whenwillitstop #howmanymoretimes
Emotion: anger
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: Never let the sadness of your past ruin your future
Emotion: sadness
Intensity class: | 0: no sadness 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: @TalkTalkCare how on earth can I send an email to you? Very annoyed customer!!! #fuming
Emotion: anger
Intensity score: | 0.750 |
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: Howard Webb always held up as knowing the answers. No red. Sutton and Craigan raging! Hahaha
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???
Emotion: fear
Intensity score: | 0.583 |
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: @WyoWiseGuy @LivingVertical however, REI did offer me the job today as well. Can't believe how exponentially freaking joyous I feel...!!!
Emotion: joy
Intensity score: | 0.896 |
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: @BTS_twt people have so much negativity filled inside them but im always happy that in such a gloomy world someone like u exists Namjoon
This tweet contains emotions: | joy, love |
Task: Determine the 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: Remembering those day when u still did'nt know kpop n thinking about how sad your life was without it - Kpop fan
This tweet contains emotions: | sadness |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: @ctp It's daunting trying to follow Swift news/trends, and facing mind-shattering patterns/terms left and right. I'm trying to adopt gently.
Intensity score: | 0.431 |
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: untypical kinda Friday #dull
Emotion: sadness
Intensity score: | 0.542 |
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: Asked one thing from our guys tonight and got it! #happy #proud #disappointed - THAT IS FOOTBALL #timetoclimbthetable
Emotion: joy
Intensity score: | 0.580 |
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: @CGasparino Give it up Gas, I don't hate u, I just don't respect ur rudeness. #bully
Emotion: fear
Intensity score: | 0.479 |
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: @TheVulcanSalute , just saw the Save The Day PSA. Why were you in obvious tears doing it? I'd have thought you'd be your cheerful self.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Oh yeah Squid face God madden 17 xbox1 come see me
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: To insure good health: Eat lightly, breathe deeply, live moderately, cultivate cheerfulness, and maintain an interest in life.
This tweet contains emotions: | joy, 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'm getting so nervous for my first anatomy exam 😩
Emotion: fear
Intensity score: | 0.812 |
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: talk about a mood pickup i went from depressed to elated so fast
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: Once I have sent a pitch to a brand I close all tabs relevant to them instantly. Thats the kind of detachment I create for myself. #serious
This tweet contains emotions: | sadness, surprise |
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: Wee cunts playing chappy in my street, got my shoes on so I can chase and scare the fuck out of them
This tweet contains emotions: | anger, disgust, fear |
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: @DefiantSagacity — Hermione in a sort of thank you before sliding his own plate away from him before frowning at Ron as he continued to —
Emotion: sadness
Intensity score: | 0.306 |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: mustache_harbor: TiburonChamber plus a hearty pour of #yachtrock by #mustacheharbor !
Intensity score: | 0.655 |
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: By the way, I'm wearing the smile you gave me today. \n#you #me #smile
This tweet contains emotions: | joy, love, optimism |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @lilymacintyre_ she was my favourite such a joyful soul
Intensity class: | 1: slightly positive emotional state can be inferred |
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