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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: #tulsa - Police manufacture murder... Wonder why we carry burners...? - MaxLevelz
Emotion: fear
Intensity class: | 1: low amount of fear 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: @myaeggs I can't get a better look at her bc I'm too shy to make eye contact ;-;
Emotion: fear
Intensity score: | 0.562 |
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: 339:709 A local habitation and a name.\nSuch tricks hath strong imagination,\nThat, if it would but apprehend some joy,\n#AMNDBots
Emotion: fear
Intensity score: | 0.396 |
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: @PersephoneOD Her cheerful voice echoed through the grand, familiar home, a smile blossoming on my rosy brims, 'Mom.' I reciprocated the --
This tweet contains emotions: | joy, love, optimism |
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: JV girls earn the W vs Stonington 2-1 today. Goals by K Waite and S Winakor. @DeluciaAlexis 1 assist. @mhseccathletics #relentless
Emotion: anger
Intensity score: | 0.188 |
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: @littlebakaa @AlcohoIPorn give me a smiling emoticon will ya? i dont like the idea of you frowning >.<
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: seek to conduct attacks against Israel, intended to provoke a reaction that would further inflame feeling within the Islamic world”. •
Emotion: anger
Intensity score: | 0.562 |
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: @isthismike_p that nigga is horrible bro
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: whats with these boxes when i search google on chrome #horrible #distracting
Emotion: fear
Intensity score: | 0.500 |
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: @kateemick what a nightmare
Emotion: fear
Intensity score: | 0.636 |
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: The kid at the pool yelling is about to get a foot up his ass. #shutup #parents #kids #horrible
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: @DailyJoshleen KA- like the start of cake and then Like saying C - if that makes sense 😭😂
Emotion: fear
Intensity score: | 0.229 |
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: @DeionSandersJr @DeionSanders so bad...Slash prices or send them to refugee camps, like team gear after they lose championships.
This tweet contains emotions: | anger, disgust, sadness |
Task: Place the tweet into an appropriate ordinal class, representing the tweeter's mental state by assessing the levels 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: When ya'll talkin about you know who I don't know who ya'll talkin bout, I'm on the new shit....chuckin up ma deuces......🔥🔥 #kanye
Intensity class: | 0: neutral or mixed emotional state 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: Don't faint. New Cisco IOS vulnerabilities were announced yet again. What would be shocking? If they’re patched this week by users.
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: No one wants to win the wild card because you have to play the Cubs on the road. #sadness
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Scott Dann injured aka my worst nightmare
Emotion: fear
Intensity class: | 2: moderate 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: i've been rooting for him since the beginning #BB18
This tweet contains emotions: | anticipation, love, trust |
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: Watch this amazing live.ly broadcast by @izzybuzy365 #lively #musically
Emotion: joy
Intensity class: | 1: low amount of joy 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 would happen if I were a father. #weary
Emotion: sadness
Intensity score: | 0.625 |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: and for inconsolable Oxford academics - 'Brussels should just ignore the #Brexit vote and tell the UK it can't leave the EU....ever....wah'
This tweet contains emotions: | anger, 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: Trump supports reach another level of irritation within me
This tweet contains emotions: | anger, disgust |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: After Nawaz Sharif's speech on terrorism, Kejriwal is expected to talk on Governance.
Emotion: fear
Intensity class: | 0: no fear 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: My future must be bright af.
This tweet contains emotions: | joy, optimism |
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: Like I said ➡ there's plenty of cheddar in the cheese to go around! For everyone. ☺
Intensity class: | 3: very positive emotional state can be inferred |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!!
Intensity score: | 0.453 |
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: @Rbrutti what a #happy looking #couple !
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: What's the worst affliction that you or someone you know ever convinced yourself you had?
This tweet contains emotions: | pessimism, sadness |
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: something about opening mail is just...very pleasing
Emotion: joy
Intensity class: | 2: moderate amount of joy 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 @pinksaltwarrior angry tweets bc it makes me laugh but also hate it bc it makes me miss her more
This tweet contains emotions: | joy, love, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Honestly depression is kicking my ass lately.. 😔
Emotion: sadness
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: @JackCurryYES he's just lucky...bad pitchers...#WHATEVER...ElKracken is #legit #future #bright #gottawearshades #LetsGoYankees
This tweet contains emotions: | joy |
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: I love looking at my old statuses on Facebook. The one I have from four years ago on this day was about #glee. I had so many opinions...
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @MerenthaProphet - the Hunter in this way, content and joyous in simple, domestic bliss? I cannot wait for word of who you truly are to -
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: The #sober equivalent of being in a #bar women's restroom is the #salon. Everyone compliments each other & become friends. I love it
Emotion: sadness
Intensity score: | 0.271 |
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: Need a new outlet for
Intensity score: | 0.391 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Way to get a hold of her 😊 #depressing
Emotion: sadness
Intensity score: | 0.540 |
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: From what I know of the man, I have to assume that @realDonaldTrump has had a heated argument with his own penis. #sad
This tweet contains emotions: | 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: @BelieveInBlue18 awe thanks! Couldn't be doing it without all your help and support and that amazing encouragement!💕😘🙌🏻
Emotion: fear
Intensity score: | 0.146 |
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: ethan was with someone in the car when he did his revenge on grayson
This tweet contains emotions: | anger, disgust |
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: @xmaseveevil1. #MSM is rejoicing that they've fooled us with these body doubles for so long & now her death is a secret. Just like Hawkings
Emotion: joy
Intensity score: | 0.229 |
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: *ZETH voice*: Hit The Target \n (holds up upside down cheering towel)
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: I can literally eat creamy pesto pasta topped with grilled chicken, sun dried tomatoes, asparagus and pine nuts every single day of my life
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: That's really it for my madden career that game sucks , ea sports does a piss poor job every year on that shit
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: Watch this amazing live.ly broadcast by @jaredhorgan #musically
Emotion: joy
Intensity score: | 0.521 |
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: An adviser to the #European #Union’s top #court said #Hamas and the #Tamil #Tigers should be taken off the EU’s #terror list.#lka
This tweet contains emotions: | fear |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: Swear to God don't get a smart meter from your power company, 8 months of daft bills, 6 visits from British Gas #nightmare #stressed
Emotion: fear
Intensity score: | 0.688 |
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: @thenthapple Haha I like the optimism cause I'm the same, but it doesn't make this situation any less mind boggling.
Emotion: joy
Intensity score: | 0.480 |
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: Back in the big time after selection last night. Absolutely buzzing. Bring on the roaches #SG16 #kickittomehigh #nswgaa #blues #statevstate
Emotion: sadness
Intensity score: | 0.250 |
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: Ultimately, #KeithScott wasn't the man they were there to hand an arrest warrant to. That's what we know. That's enough to cause outrage.
This tweet contains emotions: | anger, fear |
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @reluctantnicko Don't ask, you don't get. Apologies if I've offended you. All due respect Alan, I think you've been fed duff info.
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: @TheCatCampbell I too am Ravenclaw. #sadness #shouldhavebeenhufflepuff
Emotion: sadness
Intensity score: | 0.542 |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: Good start to the day I forgot to set my #alarm just as well it's #Friday 😆
This tweet contains emotions: | anger, joy, 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: Drinkin me some red wine & listening to some fred mcdowell playing the #blues . He did not play no #rocknroll. Fantastic noise #justsaying
Emotion: sadness
Intensity score: | 0.292 |
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: I'm afraid she's the goat you libeling people? #goat #libeling
This tweet contains emotions: | disgust, fear |
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: Rockin to Bob Dylan singin' Bob Dylan's 115th Dream on LPCO Klassic Rock #classicrock #klassicrock #rocknroll #blues #onlineradio
Intensity class: | 1: slightly positive emotional state 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: GAMEDAY VS BUFORD TODAY AT 5:30 AT HOME!!!!!!!!! NEVER BEEN SO EXCITED
Emotion: anger
Intensity score: | 0.208 |
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: @TrueAggieFan oh so that's where Brian was! Where was my invite?
Emotion: anger
Intensity class: | 1: low amount of anger 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: Staff on @ryainair FR1005. Asked for info and told to look online. You get what you pay for. #Ryanair @STN_Airport #Compensation
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: @NFLonFOX @TheDoctorCarson @FOXSports Easy, breezy, beautiful...
Emotion: joy
Intensity class: | 2: moderate amount of joy 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: The Pats are awesome. Belichick is awesome ...they just are.
Emotion: fear
Intensity score: | 0.096 |
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: We Are Source!!\n\n #mindset #philosophy #thoughtsbecomethings #news #lifehacks #you #LIFE #PleaseRT #ProblemSolving
Emotion: fear
Intensity score: | 0.271 |
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: Sorry @wow_air definitely going with @Icelandair next time, this is beyond unreasonable @wowairsupport #terrible #yourappologiesmeannothing
This tweet contains emotions: | anger, disgust, fear, 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: @BluesfestByron second artist announcement looking good #bluesfest2017 #blues #Music #byronbay
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: Wow the #Denver housing market is #depressing no places to buy in my range 😢 #FML
This tweet contains emotions: | anger, sadness |
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: Why mfs so bitter
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: i've seen the elder watching me during my community hours and i honestly don't have an idea about what my assignment will be. #apprehensive
Emotion: fear
Intensity class: | 0: no fear 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 be trying to not stay playing madden and 2k 17 but its just so addictive 😭😭
Emotion: anger
Intensity class: | 0: no anger 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: shake fries
Emotion: fear
Intensity score: | 0.181 |
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: @biggerthanyuu He's flushed upon hearing the feeling is reciprocated. He's elated to shove himself right into his arms and hug him tightly.+
This tweet contains emotions: | joy, love, optimism |
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: @MarianKeyes the pout tips me over the edge. I am most definitely AGIN. Who the feic bakes with full make up and boots with heels!!!!
This tweet contains emotions: | anger, disgust |
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: Damn our offense is a mix bag of unpredictable lethal weapons I'm worried for Defense Coordinators 😁 #Chargers #Boltup #Recharged
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I hate those sugar cookies shit is awful
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: @AdoreDelano ill be there... with VIP TICKETS! Can't wait to meet you. Never met a famous person i admire before!
Emotion: fear
Intensity score: | 0.208 |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I had really strange and awful dreams last night. I'd didn't even eat cheese before bed #nightmare #lovemysleep
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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: Tom Phillips being all jovial at the start of this week's show when Joe is strutting out after that video package is quite the juxtaposition
Intensity score: | 0.563 |
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: Kernel panic = sweating, sneezing, hiccuping, snot, tears, crying. Clearly my body has an issue with chilli.
This tweet contains emotions: | fear, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: Fucking gutted, disheartened & so pissed off.Gone from 1 off the toughest most resolute defences to the worst & most shambolic #SCFC #STOHUL
Emotion: sadness
Intensity score: | 0.729 |
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: @FoxNews #Poor = #angry and justly so. Offer people some hope! My god, does anyone see this?! #Education should not be for the #elite
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: I'm mad at the injustice, so I'm going to smash my neighbours windows'. Makes perfect sense. #CharlotteProtest
This tweet contains emotions: | anger |
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: @CornflakeDaddy @youngvulgarian Yeah, it was sooo horrific, I needed to sit down
This tweet contains emotions: | anger, disgust, fear |
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: @mikeburke91 @AP I guess. It's just heartbreaking the ease with which they can kill an innocent man and get away with it. #indignation
Emotion: anger
Intensity score: | 0.625 |
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: #welfarereform should not be a 'model' for #snap.
Emotion: anger
Intensity class: | 1: low amount of 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: can't believe Mint fest is two days away and i hate my outfit 😩😩🙈
This tweet contains emotions: | anger, disgust, sadness |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I don't think I can go to work tomorrow since val has left #GBBO I need a day to mourn
Emotion: sadness
Intensity score: | 0.754 |
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: What did y'all do to your app @NFLfantasy It's horrible. #horrible. Worst except once ever
This tweet contains emotions: | anger, disgust, sadness |
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: Another grim & compelling news report by @Nawalf on the blockade of aid to the starving in #Yemen #BBC #dosomethingpoliticans
Intensity score: | 0.267 |
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: @fleetstreetfox It's buzzing pathetically for sympathy if you let it out it will twirl it's moustache, chuckle and sting you #Psychowasp
Emotion: anger
Intensity score: | 0.458 |
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: When's it all finished, you will discover that it was never random! #thoughts #restless #CrossoverLife
Intensity class: | 0: neutral or mixed 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: @riinkanei he's a horrible person and now i gag when i see people quote him
This tweet contains emotions: | anger, disgust, fear |
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: @priny_baby happppy happppyyyyyy happppppyyyyy haaapppyyyy birthday best friend!! Love you lots 💖💖💖💖💖💖💖🎉🎊 #chapter22 #bdaygirl #happy #love
Emotion: joy
Intensity score: | 0.900 |
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: Star trek online has a update to download oh fuming yay
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Assign a suitable level of intensity of emotion E to the tweet, representing the emotional state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: 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: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @UNHumanRights @UNDP_Pakistan wat an irony? #Pakistan lecturing the world on curbing
Emotion: fear
Intensity score: | 0.438 |
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: @nigglydz lydiaaaa, we were the only ones that were supposed to know that you make me nervous 😶
Emotion: fear
Intensity score: | 0.750 |
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: can't believe Achilles killed me!
Emotion: anger
Intensity score: | 0.479 |
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: .@SimonNRicketts if you don't know what a patronus is, I don't think we should have to tell you
This tweet contains emotions: | anger, disgust, sadness |
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity. | Tweet: #smile is the #respect we give everyone.
Emotion: joy
Intensity score: | 0.583 |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: So Rangers v Celtic ll #revenge
Emotion: anger
Intensity score: | 0.333 |
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: People that smoke cigarettes irritate my soul.
This tweet contains emotions: | anger, disgust |
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