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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: Don King...his actions really sadden me today...the word 'may not' have the same power to all as it once did, I still cringe when i hear it
Emotion: sadness
Intensity score: | 0.667 |
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: Y'all really insult coz of soccer??? Lmao, wow!!!!!!
This tweet contains emotions: | anger, disgust, joy |
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: @YahooFantasy update may have been the worst mistake of my day #horrible
This tweet contains emotions: | anger, disgust, fear |
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: @debutemma I dont have to sit here and take this from u spry young children
Emotion: joy
Intensity class: | 0: no joy 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: @VectoneMobileUK The worst customer service and lack of professionalism from this service provider! #phoneprovider #badbusiness #terrible
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: I have not nap for 3 days in a row I'm very unhappy rn
This tweet contains emotions: | anger, sadness |
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: Sometimes, you have to smile, pretend everything is okay, and just walk away.
This tweet contains emotions: | joy, optimism, sadness |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: This provocation sets off a curiosity. An entity is feeding fuel to the fire. speaking quatrains. Hmmm America needs to be vigilant now
This tweet contains emotions: | anger, anticipation |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: At 12:01, Tumblr became sentient. At 1.:02, Tumblr posted gn animated gif about it. At 12:03, Tumblr shipped itself.
This tweet contains emotions: | joy |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: It's Thursday which means it's Grey's day #TGIT #rejoice
Emotion: joy
Intensity score: | 0.560 |
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 not pumped for this interview #nervous
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: I dread this drive every Wednesday 😩
Emotion: fear
Intensity score: | 0.792 |
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: You want bad service use #frontier they have #terrible service. Go to #AT&T anybody is better. I am going to complain to better business
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: Do not #educate your child to be #rich, educate them to be #happy. So when they grow up, they'll know the #value of things, not the price.
This tweet contains emotions: | joy, optimism |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: “Set a goal to achieve something that's so big so exhilarating that excites you & scares you at the same time.” \n― #BobProctor
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: @theflabar It's a #foggy and #dark morning here - so #filter this time. For #lighting purposes. :)
Emotion: sadness
Intensity score: | 0.458 |
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: Being deeply loved by someone gives you strength, while loving someone deeply gives you courage. Lao Tzu #wedding #happy #love
Emotion: joy
Intensity score: | 0.727 |
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: @smendler (1) Watch out for memes & statements designed to make you feel outrage, but that don't give you anything to *do* about situation
Emotion: anger
Intensity score: | 0.542 |
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: @Tweetermeyer The animated version was better
Intensity class: | 0: neutral or mixed emotional state 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: #welfarereform should not be a 'model' for .
This tweet contains emotions: | |
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: @MarianKeyes maybe he had constipation issues..? Not that I KNOW dates relieve such an affliction! No way jose!
Emotion: sadness
Intensity score: | 0.354 |
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: when people hit on me i try to shake them off by talking about how i hide from communism
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I just want to let everyone out there know you are wonderful people! #beyourself #happy #cheerful #late-night #compliment #behappy
This tweet contains emotions: | joy, optimism |
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: A 'non-permissive environment' is also called a 'battleground' - #MilSpeak
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @wvgmltd @DalefootCompost @ThomasEtty Would you like to clean my cooker top, please??? 😉😊 #sparkling #nomess #sunglassesneeded
This tweet contains emotions: | anticipation, joy |
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: Do not #worry about anything but #pray about everything.
This tweet contains emotions: | anticipation, joy, optimism |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: When u are strong u offend the weak & insecure. STAY STRONG. Joshua 1:6-9 #god #internationaldayofpeace #actorslife
Intensity score: | 0.609 |
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: @jtkola @danmericaCNN she's still younger and more spry than trump
Emotion: joy
Intensity score: | 0.320 |
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: Just paid out my arsehole for a couple of New Found Glory tickets but it's gonna be a GREAT start to my birthday weekend 👊
Emotion: fear
Intensity score: | 0.214 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Not the best horror ever but I like that the uncertainty
Emotion: fear
Intensity score: | 0.333 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @PARISDENNARD why should I listen to someone with a tie like that?
Emotion: fear
Intensity score: | 0.333 |
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: Southend players always haunt Man U
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @savageimiike one of my favorite songs brother, real talk.
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: @JustHerrick @iPhone_News Piece of #crap
Emotion: anger
Intensity score: | 0.603 |
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: @elegantlywasted @ChelseaClinton Are they the new kennedy's of American politics.. sadly both mom and daughter are as charming as a toe nail
Emotion: anger
Intensity class: | 0: no anger 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: @iSmashFizzle that's me all the time. I carry ginger candy, peppermint oil and sea-bands at all times #anxiety
This tweet contains emotions: | fear |
Task: Evaluate the valence intensity of the tweeter's mental state based on the tweet, assigning it a real-valued score from 0 (most negative) to 1 (most positive). | Tweet: Serious-looking folks suffer from unused smile muscles \n\n #behappy #hatersgonnahate
Intensity score: | 0.578 |
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: To tell the truth and make someone cry is better than to tell a lie and make someone smile. #truth #lie #cry #smile #offalonehugots
Emotion: joy
Intensity score: | 0.200 |
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 hate when I try to be playful and get shut down lol ...Why so serious🙁
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Assess the sentiment intensity or valence level of the tweet, ranging from 0 (extremely negative) to 1 (extremely positive). | Tweet: People too weak to follow their own dreams will always find a way to discourage yours.
Intensity score: | 0.313 |
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: 'to fill his campaign bank account with tens of millions of dollars'..trump 2020 campaign to start now #sad #bad
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: @UNHumanRights @UNDP_Pakistan wat an irony? #Pakistan lecturing the world on curbing
Emotion: fear
Intensity class: | 0: no 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 really hate Mel and Sue. They think they're hilarious and they're just awful
Emotion: fear
Intensity class: | 0: no 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: @CBSThisMorning @newsgirl123456 again, profiling DOESN'T discourage (September 20, 2016; 18:41 EDT) #terror #TRUMP #FAIL
This tweet contains emotions: | disgust, fear, sadness |
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: Accept the challenges so that you can feel the exhilaration of victory. George S. Patton\n#quote #motivation #entrepreneur
This tweet contains emotions: | joy, optimism, surprise, trust |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @ChowdharyMahima Appreciate ur 'half truth.' Don't let ur good judgement swayed in the realm of propaganda. State doesn't sponsor terrorism.
Emotion: fear
Intensity score: | 0.542 |
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: @wowairsupport it world be great if the live support was actually helpful
This tweet contains emotions: | anger, disgust, joy |
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: if you wake up somewhere else...you will know some #arsehole has pressed a button ;)
This tweet contains emotions: | anger, disgust |
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: 5 goals in 87 appearances last season between McKay, Holt and Windass! Simply is horrific! Get midfield balance sorted and team will fire!
Intensity class: | -1: slightly 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: At the end of the day I know that my kids will never worry about me leaving them 💕
This tweet contains emotions: | joy, love, optimism |
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: It's not a panic situation let's be honest. How shit are they. We just have Rooney up front 😂😂😂😂
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: Has anyone noticed that @npr stories in recent days all paint positive accomplishments for Trump and challenges for Hillary? #surprised
Emotion: sadness
Intensity score: | 0.333 |
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: This is not me brown nosing but I've listened to lots of housing ministers but @GavinBarwellMP #nhf16 impressed me more than any #optimism
This tweet contains emotions: | joy, optimism, trust |
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: Tomorrow is the day I cut and dye my hair! 😳 #nervous #excited
This tweet contains emotions: | fear, joy, 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: Chelsea and united must be furious
This tweet contains emotions: | anger, disgust |
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: What we think, we become. -Buddha #recovery #addiction #sober #sobriety
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: #Rage and #disappointment man.... Is that life or what? Lol
Emotion: anger
Intensity class: | 2: moderate 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: EEEEEKKKK!!!!\nProduct LAUNCH 😍✋💖\nI'm am literally B•U•Z•Z•I•N•G!!!\nSingle sachets 😍😍\n \nMessage me for yours! 😜🙆💜#loveyourlifestyle #shakes
Emotion: anger
Intensity score: | 0.177 |
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: Usually I'm not one to rush colder weather but this year I'm so ready for hot coffee, dark lippies, scarves, sweaters, & boots 🍂👢☕️💄
Emotion: sadness
Intensity score: | 0.146 |
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: Has September been dull? Get #SuperSeptember from Jumia Food as a new user. Order from The Place, Barcelos or Shawarma & Co for 30% off
Emotion: sadness
Intensity score: | 0.292 |
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: Good Master Vernon, welcome, nephews, from Bellario :\nThere is my lord, that thou interrupt'st our merriment.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: Is it just me or is this a very weird time for the world? #change #enlightenment #gloomy #weird #sigh #imaginepeace #imaginelove #unite
This tweet contains emotions: | optimism, 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: I was glad at that posing that I waited to run when the sun came out cause I usually run when it's dark in the morning.
Intensity score: | 0.516 |
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: @keyshamackie it's fucking dreadful for live footy matches
This tweet contains emotions: | anger, disgust, fear |
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: @airvistara as always it was indeed a wonderful experience flying with you guys today #bestinbusiness #delight #happyme
Intensity class: | 3: very positive 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: @simondawkins23 @Titchlar81 clicked the wrong side was fuming 😭
This tweet contains emotions: | anger, disgust, 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: If my concerns & anxiety don't matter to you then I shall return the favor. #EyeMatter
This tweet contains emotions: | anger, fear |
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: In honor of Shawty Lo passing away I made Dey Know my new alarm clock song so I wake up with the right attitude everyday lol
This tweet contains emotions: | anticipation, joy, love, optimism, trust |
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: @CNNnewsroom @BrookeBCNN What can't you grasp? Besides yr cognitive dissonance, raging away. Each. Incident. Re: LEO-shooting = SEPARATE.
Emotion: anger
Intensity score: | 0.750 |
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: Love how cheerful that woman is about storing someone else's furniture for an eternity. I'd have sold it by now. #GrandDesigns
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: PASTOR - 15 FEET away from shooting victim during protest says he is skeptical of official story. #CharlotteProtest #CharlotteRiot
Emotion: fear
Intensity class: | 1: low amount of fear 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: A 'non-permissive environment' is also called a 'battleground' - #MilSpeak #hilarious
Intensity score: | 0.655 |
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: Extreme sadness
Emotion: sadness
Intensity score: | 0.917 |
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: Just rough situations all around for Schalke and Werder Bremen to start the campaign. Bremen dashed late with a new manager. Both with 0.
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: @fitzstockcharts Gundlach calling for rounding top, doom and gloom, 15% down move
This tweet contains emotions: | disgust, sadness |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Last @LGCanada product I buy - I promise! Absolutely #CustomerService
Emotion: fear
Intensity class: | 0: no fear 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: Being in the countryside all day was so pleasing
Intensity class: | 3: very 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: ppl talking about diets and i am feeling #terrible hahaha
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: onus is on Pakistan' : MEAIndia after #Uri #terror attack
Emotion: fear
Intensity score: | 0.708 |
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: I'm ever so cheerful
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: Riggs dumb ass hell lolol #hilarious #LethalWeapon
Emotion: joy
Intensity score: | 0.700 |
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: And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @gfunk85 @officialpes you must have been one of 'them'. Those that used long balls to win matches. Your reign of terror is over, accept it
This tweet contains emotions: | |
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: Just rough situations all around for Schalke and Werder Bremen to start the campaign. Bremen dashed late with a new manager. Both with 0.
This tweet contains emotions: | anticipation |
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: So excited to watch @RuPaulsDragRace #allstars \n #RuPaul
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @LindseySanford @simplymeasured this makes me giggle with glee!
Emotion: joy
Intensity score: | 0.708 |
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: Buddha doesn't possess enough power to deliver you from your affliction!
Emotion: sadness
Intensity score: | 0.542 |
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: @WildRoverTours Thank you for follow and its a good website you have and cheering with no hassle.
Emotion: joy
Intensity class: | 3: high 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: I'm a shy person
Emotion: fear
Intensity score: | 0.562 |
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: Our soldiers in war zones are held to a higher level of rules of engagement than our police officers. #sad
This tweet contains emotions: | disgust, pessimism, sadness |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I believe I'm gonna start singing in my snap stories on the tractor. Switch it up a little bit.
Emotion: anger
Intensity class: | 0: no anger 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: 5,000 new US #citizens swearing in now! #tears #congratulations
This tweet contains emotions: | joy, optimism |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: @Casper10666 I assure you there is no laughter, but increasing anger at the costs, and arrogance of Westminster.
Emotion: anger
Intensity score: | 0.604 |
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: Hmm...looks like no one @Tampax is available to respond. Its like waiting for a #doomsday reply. That #burning question with no #answer
This tweet contains emotions: | anger, disgust |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Now it's time to remove CB from the team somehow. Screw it. Rip the Band-Aid off. It'll sting for a bit but everyone will get over it.
Emotion: anger
Intensity score: | 0.521 |
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: Folk Band 'Thistle Down' will be replaced by 'The Paul Edwards Quartet' at Laurel Bank Park Sat 24 11am - 3pm due to ill health #jazz #blues
This tweet contains emotions: | anticipation, sadness, surprise |
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: I'm really hitting all flavors of my sparkling water rap. But you know what's tripping me out? These half French and Spanish flavors.
Intensity score: | 0.419 |
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: I hate that if I don't start the conversation, there won't be one.
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: Dentist just said to me' I'm going to numb your front lip up so it'll feel as if you've got lips like Pete Burns!...... She was right
Emotion: anger
Intensity class: | 1: low amount of anger can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @POCX100 Please don't sulk over your defeat. Come on. Head up!
Emotion: sadness
Intensity score: | 0.250 |