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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: Do you think humans have the sense for recognizing impending doom? #anxiety
This tweet contains emotions: | fear, 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: @YahooFantasy update may have been the worst mistake of my day #horrible
This tweet contains emotions: | anger, disgust, fear |
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: A black female LEO💙 was shot 8 times and died in Philadelphia --Where's the #outrage black people? @BarackObama #Sharpton #blm #TheFive
Intensity score: | 0.196 |
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 love having such a big family. There's never a dull moment in my house 😂
Emotion: sadness
Intensity class: | 0: no 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: *violently screams at the four winds* WE AINT EVER GETTING OLDER *cute jovial rhythm starts* *moves hips along and waves arms in the air*
This tweet contains emotions: | fear, 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: It were during the past's mistakes- similar to terror was pretty remarkable.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @CarolynTopol Ciara asks was it a sci-fi movie, Julie & Jen just stare, Claire on her phone, Joey bolts when the cab honks. LMAO
Intensity class: | 2: moderately positive 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: 3 weeks into the course and have had the kitchen sink thrown at me, I m still pulling knives and forks out of my ears
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: Oh daaaaaaamn @SophiaBush! #getitgirl #girlpower #anger #rawr #ChicagoPD
Emotion: anger
Intensity score: | 0.375 |
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: 3:45am and off to the hospital! Elouise's waters have gone! #Labour #LittleSister #superexcited
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: @alicehouston18 sorry I'm just angry my drone flew away
Emotion: anger
Intensity score: | 0.583 |
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: Omg I actually thought she was going to jump. #bully #SouthPark20 #southpark
Emotion: fear
Intensity class: | 2: moderate amount of 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: My two older boys were elated, my toddler was terrified. I have pics of his poor little face peeping through the hole in the basket.
Emotion: joy
Intensity score: | 0.380 |
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: @Beakmoo hmmmm...you may have a point... I thought Twitter had got dull 😂. LAMINATION
This tweet contains emotions: | anticipation, joy, 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: @wabermes The @RavalliRepublic had a good one but then the reporter quit. #sad
This tweet contains emotions: | pessimism, sadness |
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: 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
Emotion: joy
Intensity score: | 0.380 |
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: @carl_diggler @TMZ_Sports Thank you for saying what others are afraid to say, Carl. Big fan!
Emotion: fear
Intensity score: | 0.229 |
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: They'll be yo friend, shake your hand, then kick in yo door thas the way the game go🤖🤐.
Emotion: fear
Intensity class: | 0: no fear 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: It's finally raining in Ashland, Oregon. We've been parched all summer & fall. The plants & people are rejoicing!
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: #India right of reply at #UNGA - #Pakistan preaching of human rights is by a country which is itself the global epicentre of
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: #quote What U #fear controls U. Fear is not out in life but in ur mind. Real difficulties can be overcome - Cheryl Janecky
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: @mcjamie sadly. It's just.. Did the dude have to yell out the frogs name at the Clinton rally that one day. It changed everything
This tweet contains emotions: | |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Indian time it's already ur birthday @akshaymarwah22. Have a stupendous birthday. Wish you more success, laughter and lots of love. Hugs. x
Emotion: joy
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: Watch this amazing live.ly broadcast by @arbitraryvlog #lively #musically
This tweet contains emotions: | joy |
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: Trying to think positive, and not let this situation discourage me ✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨
Emotion: sadness
Intensity class: | 1: low 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: i was so embarrassed when she saw us i was like knvfkkjg she thinks we're stalkers n then she starts waving all cheerfully inviting us in 😩
Emotion: joy
Intensity class: | 0: no 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: @SeanUnfiltered Texans are scared of this bunch!
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
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: @tylerhower Covering Milo might make sense—not much, even at that—but celebrating him as puckish is cooperation in something ghastly.
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Never let the sadness of your past ruin your future
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Assign one of four ordinal intensity classes of emotion E to a given tweet based on the emotional state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: I need all your attention! If I don't I'll pout..
Emotion: sadness
Intensity class: | 0: no sadness 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: @TheAlexValle Tio Valle, please! WNF grudge match @Anti with Low Tier God!!!
Emotion: anger
Intensity score: | 0.396 |
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: On @Varneyco/@FoxBusiness to talk latest on #Chelsea Bombing + #Ahmad_Khan_Rahami's trips to #Afghanistan/#Pakistan #tcot #terror
This tweet contains emotions: | anger, 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: Thou wilt be as valiant as the wrathful dove, or most magnanimous mouse. William Shakesphere
This tweet contains emotions: | |
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 got a short fuse when im sober.
This tweet contains emotions: | anger, disgust, sadness |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @ErinAndrews I ❤️you on DWTS You make my night every show! 😘 #hilarious
Emotion: joy
Intensity score: | 0.923 |
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: @iamglenn35 the forth character? No... not gleeful enough...
This tweet contains emotions: | anticipation, disgust, 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: Nick said he's territorial and he'll growl if someone gets too close to me #hesananimal
Emotion: anger
Intensity class: | 1: low 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: I wish there was a #glee version of @ShawnMendes Stitches. @GLEEonFOX #gleekforever
Emotion: joy
Intensity score: | 0.480 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: Ppl like that irritate my soul
Intensity score: | 0.267 |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: The cure for anxiety is an intimate relationship with Christ. - 1 John 4:18
Emotion: fear
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: but that was a mistake and a half assed excuse and now here i am burning in hell forever
This tweet contains emotions: | anger, pessimism, sadness |
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: @Mysbananen yes hc and we got him very low. I know how it feels. Our damage is low enough as it is never mind having the rng of being enrage
Emotion: anger
Intensity score: | 0.479 |
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: @ezlisteningdisc it doesn't offend me but it's just,,, Weird.
This tweet contains emotions: | disgust, sadness |
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: @RadiateZen That's true, it does go both ways. But I've been on the receiving end of a vegans wrath! Lol! I personally wouldn't condemn
Emotion: anger
Intensity score: | 0.417 |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: A delight to be at the Lane tonight and witness the debuts of some young talent that could be the backbone of our club!! #COYS
This tweet contains emotions: | joy |
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: @lennyabrahamson May I send you a copy of #HeroTheGreyhound? Either e-book or real paper one! A boy and a greyhound #smiles #tears
Emotion: joy
Intensity score: | 0.304 |
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: @DDogsScout 'Oh!' Almost with odd cheerfulness, Big Boss offers: 'Muzzle flash blinding. Accidental by the guy who became my best friend.'
Emotion: joy
Intensity score: | 0.396 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @bothsocial Thanks for the follow! Hope you’re having a terrific day!
This tweet contains emotions: | joy, love, optimism |
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: @BIGGKATZ BUT arms (focused rage) is overpowered, it will be getting nerfed. It'll still be stronger than fury though
Emotion: anger
Intensity class: | 2: moderate 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: @Cass_Pennant @frankbrunoboxer @WestHamUtd @davidgold @MaccaFrank @JonjoHeuerman @WestHamMagazine @CasualMind_ @karren_brady it's an insult.
This tweet contains emotions: | anger, disgust |
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: @Patsy1207 @markheardusa @theinquisitr Do your fuc*ing job and report the news.Just another bully to go in the basket.Freedom or fear???
Intensity class: | -3: very negative emotional state can be inferred |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: .@morningmika & her @HillaryClinton Super PAC @Morning_Joe @MSNBC in full #panic mode over @realDonaldTrump #momentum!\n\n#TrumpPence16 #MAGA
Emotion: fear
Intensity score: | 0.723 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: My mind is raging and i just want to end it all
Emotion: anger
Intensity score: | 0.750 |
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: @thehill George H. Establishment is unhappy Trump's campaign branded his son low-energy, but he could not have beaten the others either.
Emotion: sadness
Intensity score: | 0.521 |
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: Halloween party coming soon! #turnt #ruinT #lit #firesauce #hotsauce #mildsauce #getsauced #champagnedreams #scary #kittens
Emotion: fear
Intensity score: | 0.396 |
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: TVGirl is like I'm really pretty and melancholic about life and this is why I hate myself
This tweet contains emotions: | anger, disgust |
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: .@POTUS Obama describes his temperament as 'steady & on the buoyant side.'
Emotion: joy
Intensity score: | 0.220 |
Task: Categorize the tweet into one of seven ordinal classes, representing different degrees of positive and negative sentiment intensity, that most accurately reflects the emotional state of the Twitter user. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Elinor,' she laughed so little known, all over every body at the brilliant cheerfulness of sweetmeats and a fashion.
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive). | Tweet: What do Aquila, Ajahnae, and Euriechsa have in common besides ridiculously stupid,horrible,ugly, God awful names? Tracey IS NOT their father
Intensity score: | 0.274 |
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: imagine if teppu got animated by madhouse tho >_<
Intensity class: | 0: neutral or mixed 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: @LakersTakeover it ain't that serious. #HOUvsNE #awful #igotbetterthingstodotonightthandie
This tweet contains emotions: | anger, disgust |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: @hamzakhawaja99 just die depression.
This tweet contains emotions: | pessimism, sadness |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: He maketh the #barren woman to keep house & to be a #joyful mother of children\nPraise ye the Lord\nPsa113:9
Emotion: joy
Intensity score: | 0.420 |
Task: Analyze the tweet's emotional connotations and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best portray the tweeter's mental state. | Tweet: The birds chirp , the sun shines and the wind chimes chime. There was once a smile on this face.
This tweet contains emotions: | 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: Well this is flipping great! Flipping standstill on the freeway! #stepofftheledge #youvegottobekiddingme
Emotion: fear
Intensity score: | 0.480 |
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: If the future doesn't fill you with existential dread are you even a real person
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: New play through tonight! Pretty much a blind run. Only played the game once and maybe got 2 levels it. #Rage #horror
Emotion: fear
Intensity score: | 0.542 |
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: @GenevievePere23 @swifttwinner13 WOW you're calling me bully bc I correct a typo?😂 harsh
Emotion: fear
Intensity score: | 0.479 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Worst juror ever? Michelle. You were Nicole's biggest threat. #bitter #bb18
Emotion: anger
Intensity score: | 0.729 |
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: Don't forget 2 test yr #smoke #alarm, #carbon #monoxide #detector #batteries. It could save your #life. 🐈🐩 #Lovinleeds
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: @eugenelaverty @WorldSBK all the best Moto GP is loosing a very talented rider
Intensity class: | -2: moderately negative emotional state can be inferred |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: @space_gayz high fantasy , i feel like you could make a melancholy college age slice of life thing work too
Intensity score: | 0.358 |
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive). | Tweet: The T.I / Shawty Lo beef is one of the more underrated ones in hip-hop history. Chock-full of wit, bravado and hilarity.
Intensity score: | 0.613 |
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: Watch this amazing live.ly broadcast by @maisiev #musically
Emotion: joy
Intensity score: | 0.578 |
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: something about opening mail is just...very pleasing
This tweet contains emotions: | joy |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: Good morning! Welcome the new day into your life and your heart #mindfulness #zen
Intensity score: | 0.859 |
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: @KimLy resent
Emotion: anger
Intensity score: | 0.521 |
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: Lea doing a mini set tour of glee my heart just cried tears of happiness and sadness
Emotion: joy
Intensity class: | 1: low amount of joy can be inferred |
Task: Classify the tweet into one of seven ordinal classes, corresponding to various levels of positive and negative sentiment intensity, that best represents the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: Doesn't it just suck when you're so real to someone and try to exhilarate every ounce out of them to only see that they're not down
Intensity class: | -2: moderately negative 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: RM will win the game at the last minutes and Madridistas will say Cules stayed this long watching RM win at the end. Disgusting fanbase
Emotion: sadness
Intensity score: | 0.521 |
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: @kcbbcxo don't get discouraged! it's early on & it can get overwhelming. keep reading & use cue cards 😊 it'll get better!!
This tweet contains emotions: | joy, optimism |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: This girl was shaking her drink in the break room and it wasn't fully closed and yeah it's all over the place now including me😑😑😂
Emotion: fear
Intensity score: | 0.458 |
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: @Markgatiss I'm surrounded by those Trump voters. You're right, it is fucking terrifying. #redstate
Emotion: fear
Intensity score: | 0.854 |
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: A delight to be at the Lane tonight and witness the debuts of some young talent that could be the backbone of our club!! #COYS
Emotion: joy
Intensity score: | 0.667 |
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: Follow this amazing Australian author @KristyBerridge #fiction #zombies #angels #demons #vampires #werewolves #follow #authorlove
This tweet contains emotions: | anticipation, joy, love, optimism, trust |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: Pre-game nerves have settled in 😱 i'l be #cheering from home guys 🔴⚪️🙌🏻🏉 #AFLCatsSwans #ProudlySydney #goswans @sydneyswans @SwansSupport
Intensity score: | 0.823 |
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: Beginning the process to see if working is an option. #mentalhealth #complexptsd
Emotion: fear
Intensity class: | 1: low amount of fear 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: @airvistara as always it was indeed a wonderful experience flying with you guys today #bestinbusiness #delight #happyme
Intensity score: | 0.900 |
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'm absolutely in love with Laurie Hernandez, she's so adorable and is always so cheerful!
This tweet contains emotions: | joy, love |
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: Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #anger #sadness
Intensity class: | -3: very negative 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: The 'banter' from Craigen and Sutton on BT is fucking horrid
Intensity score: | 0.226 |
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: @sandahlcarrie Your comments concern us, Carrie. Please DM your record locator and details.
Emotion: fear
Intensity score: | 0.438 |
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: Be content .... Life is too short.
This tweet contains emotions: | joy, 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: So looks like @united would rather lose all my business, than let me apply my credits towards my change fee, due to terrorism
This tweet contains emotions: | fear, pessimism |
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: Watching It Follows. This is a super freaky movie. #scary
This tweet contains emotions: | fear |
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: @CarolynTopol Ciara asks was it a sci-fi movie, Julie & Jen just stare, Claire on her phone, Joey bolts when the cab honks. LMAO #hilarious
Emotion: joy
Intensity class: | 3: high 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: At work yesterday some old cunt couple told me their coffees were cold and wanted a refund so i put my finger in it front of them angrily
Emotion: anger
Intensity score: | 0.771 |
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: @MannyM83 @DareToReagan oh yeah. I HATE the air raid and I don't like the Oregon/Baylor offense and I'm not a fan of the ole miss one either
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: So blend the waters lie\nThere shrines and free- The melancholy waters lie\nNo rays from out the dull tide- As if the vine
This tweet contains emotions: | optimism |
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: @F1abraham holy shit...what the hell happened to your lips!! Fix that shit! #mtv #teenmom #horrible
Emotion: fear
Intensity score: | 0.479 |
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