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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: @crimpoop my adorable and cheerful daughter\nAlways pouring positivity green goo on me\ndare hurt her and you'll see hell //growls\n\n#PandaBot
Emotion: joy
Intensity class: | 2: moderate amount of 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: me taking a picture by myself: *awkward smile*\nme on picture day: *awkward smile*\nconclusion: stop smiling ;'(\n #pictureday2016 #ornot
Emotion: joy
Intensity score: | 0.460 |
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: On the drive home today I heard a censored version of Spirits by The Strumbellas. 'Guns' replaced with 'dreams'. Just NO. #awful #censorship
Emotion: fear
Intensity score: | 0.547 |
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: @jeremycorbyn @magstogether my god is @jeremycorbyn a full shilling? Seriously you need a major rethink or no lab gove in your lifetime #sad
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: the teams that face Barca and Bayern after a defeat are the ones who face the wrath
Emotion: anger
Intensity score: | 0.458 |
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: When someone rudely says all women should have long hair and your inner feminist tries not to rage
Emotion: anger
Intensity score: | 0.604 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: He replied to my comments 4 times now i'm shaking omg
Intensity score: | 0.613 |
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: @devbostick @daniel_henshall Where is it? :O because it's so beautiful
This tweet contains emotions: | joy, love, optimism |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @Klipto the orange one is #poisonous and #bitter. You shouldn't judge the #blue one by how it looks but by how it tastes, #delicious.
This tweet contains emotions: | anger, anticipation, joy, optimism |
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: “The Lord thy God in the midst of thee is mighty; he will save, he will rejoice over thee with joy...”\nZephaniah 3:17
This tweet contains emotions: | joy, optimism |
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 don't want speak front to him #afraid #intimidate #nopanicattack
Emotion: fear
Intensity class: | 3: high amount of fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: Blake lively is flawless
This tweet contains emotions: | anticipation, joy, optimism, trust |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @Pamela_Moore13 @Ginlefebvre @BarackObama yes exactly & he's sold out this country to #terror while #lying to cover it up
Intensity class: | -2: moderately negative 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: JV girls earn the W vs Stonington 2-1 today. Goals by K Waite and S Winakor. @DeluciaAlexis 1 assist. @mhseccathletics
This tweet contains emotions: | anticipation |
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: Extremely bitter about the fact that the Subway in Robart's has been replaced with a low-rent version of Chipotle
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: I gave up on the U20 Rugby bet on the Roosters! #cheering #nrl
This tweet contains emotions: | joy, love, 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: What a shamefull, unequal, dangerous and worrying world we live in nowadays! #terrifying #Charlotte #shitworldforourkids
Emotion: fear
Intensity class: | 3: high amount of fear 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: Bare videos online but does anyone get rehabilitated? Does anyone actually get help for their affliction? Or do we jut get twitter videos.
This tweet contains emotions: | |
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: @UNESCO Remember not to spread #hatred and #fakenews on the internet. Do not abuse #Hashtag10 for spreading #ArabNationalism!
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Thank you @twitter for the balloons today. #goodday #48
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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: First weekend of fall; let's see if I can stay disciplined to this seasons goals. #fitness #running #sober #Mindset #firstfriday #family
Intensity score: | 0.586 |
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: @HillaryClinton evidently @realDonaldTrump feels above #norms. SHOW the #tax return, if you have nothing to
Emotion: fear
Intensity score: | 0.375 |
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: Watch this amazing live.ly broadcast by @arbitraryvlog #lively #musically
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: Riggs dumb ass hell lolol #LethalWeapon
Emotion: joy
Intensity score: | 0.396 |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @ananavarro @tcarrels most of Trump supporters have not clue about the meaning of the words they used just like him #sad #nevertrump
This tweet contains emotions: | disgust, 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: Tonight's #DragRace #AllStars2 episode GAVE ME LIFE! Yaassss queens! #teamalaska #teamkatya #revenge #bwahaha
Emotion: anger
Intensity class: | 0: no anger 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: sparkling or still? #terribledebatequestions
Emotion: joy
Intensity score: | 0.146 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE.
Emotion: anger
Intensity score: | 0.375 |
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: 5am blues while riding a cab home:\n- my belly is much bigger than the rest of my body\n- but i couldnt be preggy\n- how to lose it in a day
Emotion: sadness
Intensity class: | 2: moderate amount of sadness 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: Hey buddy, I just came by to feed my Venus Flytrap. —Sue (S1E13) #glee
Emotion: joy
Intensity class: | 1: low 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: For the first time in my madden career I just set up a farm account. Should make MOTM much easier
Emotion: anger
Intensity score: | 0.271 |
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: Being #relentless is absolutely the only way to success. Never, ever, ever give up!
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: For what a beautiful day.
Emotion: joy
Intensity score: | 0.640 |
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: Job interview tomorrow 😎 #bright side
Emotion: joy
Intensity class: | 2: moderate amount of 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: If you build up resentment in silence are you really doing anyone any favors
This tweet contains emotions: | anticipation, disgust |
Task: Determine the appropriate ordinal classification for the tweet, reflecting the tweeter's mental state based on the magnitude of positive and negative sentiment intensity conveyed. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: peplamb: stevenfurtick #comfort all who #mourn, To console those who #mourn in #Zion, To give them #beauty for #ashes, The #oil of #joy for…
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Hi guys! I now do lessons via Skype! Contact me for more info. #skype #lesson #basslessons #teacher #free lesson #music #groove #rock #blues
Emotion: sadness
Intensity score: | 0.167 |
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: @grumpy_pumper I involuntarily smile when you frown in photos. And giggle. How annoying!!
Emotion: sadness
Intensity score: | 0.263 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @BrettKeeble I guess it never. @smartassunit #worry
Emotion: sadness
Intensity score: | 0.447 |
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: #aliens #zombie #gore #slash #ghost #sith #horror I love it all. 🔪
This tweet contains emotions: | joy, love |
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: Nah but as a governor how do you call someone a bum & that you love calls from 'communist in Montclair' ? 😂 #crying
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state. | Tweet: @SalterUK second pair of scales I have bought that have stopped working after battery change. Is this an issue you are aware of? #unhappy
This tweet contains emotions: | anger, pessimism, sadness |
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: You don't smile and you say you're in love, but that's why I don't love
Emotion: joy
Intensity score: | 0.146 |
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: Blah blah blah Kyrie, IT, etc. @CJC9BOSS leaving Boston is the real news and I am #devastated! #celtics #fave #someonegetmeajerseyteeasap
This tweet contains emotions: | anger, disgust, sadness |
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: @JustinRow10 madden is the reason why controllers are snapped
Emotion: anger
Intensity score: | 0.458 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: To give cheerfully.
Emotion: joy
Intensity score: | 0.442 |
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: However the agent was inauthentic, my sister still loves me, & I'm still alive. So I guess it wasn't that bad. #socialanxiety
This tweet contains emotions: | fear, optimism, sadness |
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: Hey folks sorry if anything offensive got posted on here yesterday my account got hacked. All fixed now though. I hope :-/ #annoyed
This tweet contains emotions: | anger, disgust, fear, 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: Trial result #sadness
Emotion: sadness
Intensity score: | 0.729 |
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: Bored rn leave Kik/Snapchat #kik #kikme #kikmessage #boredaf #bored #snapchatme #snapchat #snap #country #countrygirl
This tweet contains emotions: | disgust |
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: @AmericanAir I am irate at you check-in system. I have tried to checkin all day and it wouldn't let me do it because I had no seat assigned
Intensity score: | 0.367 |
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: Honestly don't know why I'm so unhappy most of the time. I just want it all to stop :( #unhappy #depression #itnevergoes
Emotion: sadness
Intensity class: | 3: high amount of 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: @Ginoceno Great prediction bro! Nice optimism #FAKEFAN
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Lets start there
Emotion: fear
Intensity class: | 0: no fear 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: @kayleighmcenany @DonaldJTrumpJr Is that really all you can offer for those who sacrifice daily to keep you safe...? @kayleighmcenany #sad
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Why upping rooms makes a few apprehend leaving out charcoal ownership: UnZU
This tweet contains emotions: | anger, disgust |
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: @partydelightsUK it's 5679787. Cannot DM you as we don't follow each other. Not such a #delight #party #fail #letdown
Emotion: joy
Intensity class: | 0: no joy 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: @cherrivarisco @audubonsociety Oh yes, males are colourful and the Females are dull, so that they can blend in to their environment.
This tweet contains emotions: | disgust |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: So great havin @SamGowland123 back on our screens 😁😁 and fingers crossed @MikeThalassitis goes for Georgia 🤞😂 #revenge #loveisland
Emotion: anger
Intensity score: | 0.172 |
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: @ManUtd you have had from me over the years is irrelevant. Its an absolute joke. #manutd #ticketing #fuming #noloyalty #joke #notimpressed
Emotion: anger
Intensity class: | 3: high amount of anger 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: Well stock finished & listed, living room moved around, new editing done & fitted in a visit to the in-laws. #productivityatitsfinest #happy
This tweet contains emotions: | joy |
Task: Quantify the sentiment intensity or valence level of the tweet, giving 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: 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: @PearseDoherty @harrymcgee @IrishTimes That might sting for a bit lads but you'll get over it. #betterwithsinnfein
Emotion: anger
Intensity class: | 1: low amount of anger 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: i cant live anymore my roblox got termianted :(((((((((((((((((((((((( #sad #killme #lol #robloxgamer
Emotion: sadness
Intensity score: | 0.792 |
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: Good Morning!!!\n\n#leadership #healthcareIT #socialmedia #connector #ceo #writer #AI #EQ #security #bigdata #Growthhacking #tech #fear
This tweet contains emotions: | 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: Riggs dumb ass hell lolol #LethalWeapon
This tweet contains emotions: | anger, disgust, 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: Trying to take what's lost and broken and make it right
Emotion: sadness
Intensity score: | 0.542 |
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: Nurse practitioner: 'you look pretty bad. No offense of course.' \n\nThank you, that really added that spark of positivity I needed today.
Emotion: anger
Intensity class: | 1: low 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: You sure have a lot to say about something that doesn't even concern you 😉
Emotion: fear
Intensity class: | 0: no fear 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: I love when people say they aren't racist right before they say some racist shit... Not how that works... #fuming
This tweet contains emotions: | anger, disgust |
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: @MisterSalesman @ThinkPostsDaily #smiling doesnt necessary means your happy.sometimes it just means you're strong!
Intensity class: | 0: neutral or mixed emotional state 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: Some 'friends' get bitter when it seems your life is moving better than theirs.
Emotion: anger
Intensity score: | 0.656 |
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: @aidanparr haha!! No, sorry was it too grim even for you?! It disturbed me & im starting to lose all trust in Twitter generally!!
Emotion: sadness
Intensity score: | 0.479 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: @tomlinmayniac starting my new challenge ! A glee poll every day !
Intensity score: | 0.645 |
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: If I was friends with me I'd hate me SO MUCH with the amount I bully them
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: @TheRandomAnt @meg_m203 yeah, they figured that ornaments are way more wanted than spektar and desolate gear. Well they thought right.
This tweet contains emotions: | anticipation, optimism |
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: Hearing the Song by Phone glued to ears like if the singer spoke to me... #mad #mad hahah
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @BBCPolitics @BBCNews I'd rather leave my child with @BorisJohnson
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: Your attitude toward your struggles is equally as important as your actions to work through them. #optimism
This tweet contains emotions: | anticipation, joy, optimism, trust |
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: O, the melancholy Catacombs quickly wandered about the Rue Morgue, Madman!
Emotion: anger
Intensity score: | 0.532 |
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: Happy 69th @StephenKing! May u keep haunting us for many years. #writing
Emotion: fear
Intensity score: | 0.208 |
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: Recommended reading: Prisoners of Hate by Aaron Beck #anger
Emotion: anger
Intensity score: | 0.521 |
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: Accept the challenges so that you can feel the exhilaration of victory.
This tweet contains emotions: | joy, optimism, trust |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @TillTheEndMMVI I accidetly dumped boiling water my myself 😫
This tweet contains emotions: | anger, disgust, sadness |
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: Better mood today! Bring me #teasing, #flirting, #xdressers, #laughter, and #roleplayers! Also #confessions and #secrets @underdeskloser
Intensity score: | 0.766 |
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: r U scared to present in front of the class? severe anxiety... whats That r u sad sometimes?? go get ur depression checked out IMEDIATELY!!!
Emotion: fear
Intensity class: | 3: high 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: It's about time I start taking my own advice
This tweet contains emotions: | 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: 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: 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: Sting is just too damn earnest for early morning listening. #sting
Emotion: anger
Intensity score: | 0.446 |
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: It's really alarming when an adult male calls their father 'daddy'
Emotion: fear
Intensity class: | 0: no fear 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: Unbelievable takes 10 minutes to get through to @BarclaysUK then there's a fault and the call hangs up #fuming #treatcustomersfairly
Emotion: anger
Intensity class: | 3: high amount of 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: 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: 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: I really wanna go fright night at Thorpe Park next month 👻
This tweet contains emotions: | anticipation, joy |
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: @andyfleming83 Bastard squirrels. 😡
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: 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
Emotion: sadness
Intensity score: | 0.417 |
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: Paranoia is a fear every races has
This tweet contains emotions: | fear |
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: -c- and disarmed of her equipment on suspicion of being a potential accomplice to Annie Leonhart.
Emotion: fear
Intensity class: | 0: no fear 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: ..... wakes up and says 'have you tried changing her nappy?' 😡👊🏼 #rage!!!!
Emotion: anger
Intensity score: | 0.688 |
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: Good Morning!!!\n\n #leadership #healthcareIT #socialmedia #connector #ceo #writer #AI #EQ #security #bigdata #Growthhacking #tech
Emotion: fear
Intensity score: | 0.271 |
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: This nigga doesn't even look for his real family 🙄😂
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |