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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: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic. #hilarious
Emotion: joy
Intensity score:
|
0.646
|
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: $8 million in box office doesnt do this movie justice. Political or not, #SnowdenMovie is a terrific thriller and love story. @Snowden
Emotion: fear
Intensity score:
|
0.271
|
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: I hate having ideas but being too afraid to share them 😔
Intensity score:
|
0.138
|
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: So now... yeah. I'm home again.\nStill feeling mixed up inside & kinda gloomy. But a little more optimistic that I'll figure this out.
This tweet contains emotions:
|
joy, optimism, sadness
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: Live simply. Dream big. Be grateful. Give love. Laugh lots. - Unknown #quote #inspiration
Intensity score:
|
0.724
|
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: That boy so intimidated he go back and say dumb mess like that. 🤔 lol boy please, you know good and well.
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: @TobyIrish1 Yes but you were specifically fuming about him not signing enough people
Emotion: anger
Intensity score:
|
0.479
|
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: @FaithHill I remember it well #happy #Positive
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
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: @HebertofNH any time a man who got paid to throw temper tantrums speaks up, you gotta listen.
Intensity score:
|
0.371
|
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: now im all alone and my joy's turned to moping
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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: But right now I'm feeling pretty desolate.
Emotion: sadness
Intensity score:
|
0.833
|
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: @tweet_faver its reaper!! before he became reaper, you can find their stories on the wiki and thru the comics and animated shorts!
Emotion: joy
Intensity score:
|
0.375
|
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: Bloody parking ticket 😒💸
This tweet contains emotions:
|
anger, disgust
|
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: @chelseafc let them know it's the #blues
Emotion: sadness
Intensity class:
|
1: low amount of sadness 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: @MeghanEMurphy Oh gosh, if you get 800+ raging comments from cruise fans, I will just die laughing!
Emotion: anger
Intensity score:
|
0.354
|
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: I always dread Wednesday's and the always end up making me the happiest
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: @cxmbeferre so you WOULDNT date me?????
This tweet contains emotions:
|
anger, disgust, sadness
|
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: I'm a nervous wreck omg
Emotion: fear
Intensity class:
|
3: high amount of 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: @lyssababe615 \nIf this room was burning 🔥
Emotion: anger
Intensity score:
|
0.500
|
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: Loading mirth out to be trusted websites: LKskQUfke
Emotion: joy
Intensity class:
|
0: no 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: @SunandBeachBum 'you people' infuriate me!
Emotion: anger
Intensity score:
|
0.792
|
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: So not pumped for this interview #nervous
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: .@monsoonuk Ordered before 10pm last night, paid for next day. Didn't bother to fufill order. Now 14 working days for a refund! #shocking
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: Regardless of your age or station in life, it all comes down to one simple truth: you just have to #start. - Jon Acuff #inspiring #quote
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: @PunishedSnek in the final analysis, the non-white global majority will not fret over the ethnic origin of our corpses.
Emotion: sadness
Intensity class:
|
1: low amount of sadness 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: @serendipity127_ @zombiecalorie @Angel_Eyes66 I'm sensing a theme here tho lol #angry
Emotion: anger
Intensity class:
|
2: moderate 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: Seeing #RIPShawtyLo got me thinking bout other rappers then I thought about @LilTunechi dying, and burst into tears... Smh
This tweet contains emotions:
|
pessimism, sadness
|
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: @LethalWeaponFOX promised I wouldn't live tweet, but @DamonkWayans + @ClayneCrawford brought it! @JordanaBrewster and #furious action FTW!
This tweet contains emotions:
|
anger
|
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: when you find out the initiative isn't even a thing 😧 #revenge
This tweet contains emotions:
|
anger, disgust
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly 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: 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: @shimian lol. DK has actually dropped from top of the table, surprisingly Arms Warrior is top of the DPS at the moment
Emotion: fear
Intensity score:
|
0.333
|
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: @dburka I'm not sure what's worse: that, or the use of Comic Sans on a website (or anywhere else) #comicsans
This tweet contains emotions:
|
anger, disgust, sadness
|
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 just want to let everyone out there know you are wonderful people! #beyourself #happy #cheerful #late-night #compliment #behappy
This tweet contains emotions:
|
joy, optimism
|
Task: 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: Goodmorning fam, do you know that your critical condition pave way for your miracle, so #dont #be #happy
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Unmatched Party Specialist /co @T3RevNeverEnd #serious #job #titles
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: If you let a general tweet offend you, you definitely shouldn't be on twitter.
This tweet contains emotions:
|
anger, disgust
|
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: @kingvee_ don't provoke me to anger
Emotion: anger
Intensity class:
|
3: high amount of anger can be inferred
|
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: 2 applications for my dbs and still waiting. Been over a year now. Going to loose my job 👍🏿 @GOVUK #thanks #unhappy #crb
Intensity class:
|
-2: moderately negative 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: @reecetop10 Bk to 1 up top pack midfield Stifle any flair we possess kill any entertainers #dull #reshuffle #predictable #slow #average
Emotion: sadness
Intensity score:
|
0.438
|
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: Happy birthday to Stephen King, a man responsible for some of the best horror of the past 40 years... and a whole bunch of the worst.
This tweet contains emotions:
|
joy
|
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: If I'm working and I know you're working., keep in touch with other woman cuz you make me nervous... #OffTop
Emotion: fear
Intensity class:
|
2: moderate amount of fear can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Follow me on Snapchat 👻 Carlabtst15 #snapchat #snap
Emotion: anger
Intensity class:
|
0: no anger can be inferred
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Quote_Soup: Be happy not because everything is good, but because you can see the good side of everything. #optimism
Emotion: joy
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: me: wow today's such a good day \n*an hour later: burns food, gets sick, spills boiling hot water on myself*\nme: never mind
This tweet contains emotions:
|
disgust, pessimism
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: I feel like one of my friends brought this freshmen in my class over to pre game earlier in the year bc she keeps smiling at me
Emotion: joy
Intensity class:
|
1: low amount of joy 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: They're like the rape apologists who (inadvertently?) make men sound like rabid, mindless beasts. With friends like these...
Emotion: anger
Intensity class:
|
2: moderate amount of anger 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: @MetPoliceFC is it true none of your players are cops? Do they drink chilled bitter? Are your players Walter Mitty types? @KeviboyAllen
Emotion: anger
Intensity score:
|
0.479
|
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: Forgot to thank @_JusDee_ and @djolder for sharing @therealpeela's day-making #happy video.
Emotion: joy
Intensity score:
|
0.600
|
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: India should now react to the uri attack..... #revenge
This tweet contains emotions:
|
anger, disgust
|
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: @KClarkSC2 @JohamasSC2 with their faggy colors are nice' is ok too. Even tho some might take offense because WORDS LOL.
This tweet contains emotions:
|
joy, optimism
|
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: Keep smiling :)
Emotion: joy
Intensity score:
|
0.654
|
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: @FitnessFirstAU something needs to be done about people hogging machines - nobody can use 3 machines at one time! #notfair #whypay
This tweet contains emotions:
|
anger, disgust, sadness
|
Task: Determine the prevailing emotional tone of the tweet, categorizing it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that most accurately represent the tweeter's mental state.
|
Tweet: @escotony sorry to hear about your experience, however, please do not hesitate to contact us via live chat or email at [email protected]
This tweet contains emotions:
|
anticipation, optimism, sadness
|
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: @nickb88 @Buster_ESPN pine rider
Emotion: sadness
Intensity class:
|
0: no sadness can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @paulsherard @margarethaynie wow I just realized how much of a sexist pig I am! I am truly sorry to anyone I offended
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: @hollywooddivas @TMZ_Sports Idiots like Larry Sanders scare us All!How can Morons these days Rush 2 Judge #Police w/o all facts yet?FU thugs
This tweet contains emotions:
|
anger, disgust
|
Task: Calculate the sentiment intensity or valence score of the tweet, which should be a real number between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: @BeastFireTimdog Same with gaming. Sites leaned PS2 during its heyday, leaned 360 most of last gen. This gen started vitriolic mostly by...
Intensity score:
|
0.548
|
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: @tabstamlyn @lara_hunt1 I will, next time I'll make sure everything is sparkling clean
Emotion: joy
Intensity class:
|
0: no joy 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: Haven't gotten one hour of sleep... Today is going to be a fun day 😐 #restless
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: @evanareteos :)) im now writing abt the changing face of sex industry in tr :))) now men will talk to me then! #revenge
Emotion: anger
Intensity score:
|
0.479
|
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: What's the worst affliction that you or someone you know ever convinced yourself you had?
This tweet contains emotions:
|
pessimism, sadness
|
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: Is it me, or is Ding wearing the look of a man who's just found his arch enemy in bed with his missus? #angryman #scowl
This tweet contains emotions:
|
anger
|
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
|
Tweet: Shoutout to @VZWSupport for ruining my iPhone 7 order!! #horrible
Emotion: fear
Intensity score:
|
0.562
|
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: Omg I actually thought she was going to jump. #SouthPark20 #southpark
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Quantify the sentiment intensity or valence level of the tweet, giving it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: @tbergg1 mine are good rn, gonna be horrid after next week
Intensity score:
|
0.442
|
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: @APkrawczynski Any possibly KG is being bought out as a player so that he can buy in from Glen as a minority owner?
This tweet contains emotions:
|
anticipation, joy
|
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: @Markgatiss I'm surrounded by those Trump voters. You're right, it is fucking terrifying. #redstate #despair
This tweet contains emotions:
|
anger, disgust, fear, 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: @HoustonTexans just trying to go home tonight? A run on 2nd and 20 and a run on 3rd and 20? That's what champs do...#sike #losers #terrible
Emotion: fear
Intensity score:
|
0.438
|
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: Lord Jesus, I don’t want to be in prison. I want to be free. Entice my heart with the beauty of Your truth & allow me to rejoice in it. Amen
Emotion: joy
Intensity score:
|
0.288
|
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: How on earth can the projection of all that is good and happy and true in my soul be a poisonous fucking snake? #patronus #adder
Emotion: anger
Intensity score:
|
0.667
|
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: Patti seems so sad. She stamped and ran behind the sofa. We will have to give her plenty of love and affection...more than usual.
This tweet contains emotions:
|
joy, love, optimism, 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: Another loss to city in the cup next 🙈 😂😂 cmon united! #revenge
Emotion: anger
Intensity class:
|
1: low amount of anger 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: @cc_yandian @HillaryClinton her team must draw from a hat for daily personality #drugged #angry #yeller #quiet #screamer #😂😂
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @HMiglino @CParks777 @Coco_Wms @bodyfit67 @TruthEqualsFact @politicususa I have never been more anxious of a election in my life‼️ #fearful
Emotion: fear
Intensity class:
|
3: high amount of fear can be inferred
|
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity.
|
Tweet: I can't even right now #bb18
Emotion: anger
Intensity score:
|
0.354
|
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: @xBFDR yeah I'm sure it will, it's just so depressing having to talk to my parents over the phone instead of talking to them downstairs
Emotion: sadness
Intensity score:
|
0.833
|
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: Imagine celtic burst the net wae every attempt, but nutt same old dain it hard way usual
This tweet contains emotions:
|
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: Snores on TL. Boredom sunk in.
Emotion: sadness
Intensity score:
|
0.333
|
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @StephaliciousD afternoon delight
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: @bt_uk broadband is shocking regretting signing up now #shouldofgonewithvirgin
Emotion: anger
Intensity class:
|
2: moderate amount of anger can be inferred
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: Dear hipster behind me at the game I am finding it very hard to pay attention while you talk about the politics of grapes of wrath. SHUT UP!
Emotion: anger
Intensity class:
|
3: high amount of anger 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: Athenian: When mirth is the order of the day, he ought to be honoured most who gives most mirth to the greatest number (Laws)
Emotion: joy
Intensity class:
|
0: no joy can be inferred
|
Task: Estimate the strength of emotion E in the tweet by assigning it a real-valued score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: Finn singing 'Can't Fight This Feeling' in the shower and Will spying on him is one of the best scenes on any show.
Emotion: joy
Intensity score:
|
0.560
|
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: @TELUSsupport any tips on why our wifi is terrible the past week? Slow or dropping out continuously - NW Calgary 😕
Emotion: fear
Intensity score:
|
0.500
|
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: @ibishotelsuk @ibisHotels_FR @ibishotelbr @ibishotel @ibishotelBDG @ibishotel1 to give me my keys back. They aren't for my house!
Emotion: fear
Intensity score:
|
0.479
|
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: @NRA @HillaryClinton She never said anything about taking away guns but I would now bc of your stupid scare tactics for gun sales.Sickening
Emotion: fear
Intensity class:
|
1: low amount of fear can be inferred
|
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: @rohan_connolly i think your high-profile female colleague would be one in yhat category... #massexodus #bitter
Intensity class:
|
-3: very negative emotional state 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: #NawazSharif says India poses unacceptable conditions to dialogue.#India's only condition is an end to #terrorism. :@MEAIndia
This tweet contains emotions:
|
anger, disgust, fear
|
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: @cherrivarisco @audubonsociety Oh yes, males are colourful and the Females are dull, so that they can blend in to their environment.
Emotion: sadness
Intensity class:
|
0: no sadness 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: Ugh I want to punch a wall every time I have to use @windows 10. Literally the worst product ever made #windows10 #awful #killme
This tweet contains emotions:
|
anger, disgust
|
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: @HannahFJames I'm distraught! 😭 Candice and her pout can piss off
Emotion: sadness
Intensity class:
|
3: high 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: Another day Another flight 🙈 I swear my last ever @easyjet flight!!!! You take the LOVE out of flying #easyjet #horrific #alwaysdelayed
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: @DatelineNBC this is a sight, sound & smell to behold in person--still gives me the creeps to think about. #shudder
Emotion: fear
Intensity class:
|
2: moderate 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: #Question of the #day: what are some of your #nervous #habits? (biting fingernails, tapping your foot, clenching your teeth...)
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: im like 'this is better' in the moment cuz i panic and then later its so obviously not better. at every opportunity i choose to make it seem
Emotion: fear
Intensity score:
|
0.729
|
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: @MarkDice Agreed.So tired of this nonsense . Soros must be elated.
Emotion: joy
Intensity class:
|
0: no joy 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: @blackeyed_susie They ain't going away, and I don't want to see them hurt; changing hearts/minds is really our only option, no?
Intensity class:
|
-2: moderately negative 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: @NoorBazzi14 lowkey I want to go just to chirp Anna LOL but say hi to Atkins for me!! One of my favourite coaches, he's smart and caring
Intensity score:
|
0.696
|
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: @crumpledlinen he chirp
Intensity score:
|
0.569
|
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: In my room 101 would go Russell Howard,Tom Odell,Michael Buble!!! #pants #nogood
Emotion: fear
Intensity score:
|
0.250
|
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