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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: Tiller and breezy should do a collab album. Rapping and singing prolly be fire
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: @atlabps He doesn't intimidate me, it just annoys me to have him by my side. The further he is, the better I feel
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: And getting offended or furious that a writers style isn;t to your taste is ultimately daft, I suppose.
Emotion: anger
Intensity score:
|
0.625
|
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: Go follow #beautiful #Snowgang ♥@Amynicolehill12 ♥ #Princess #fitness #bodyposi #haircut #smile #Whitegirlwednesday
Emotion: joy
Intensity class:
|
2: moderate amount of joy 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: @PriiiincesssE thanks for distracting me from my paper to watch this hilarious video 😂
This tweet contains emotions:
|
joy, love, optimism
|
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: @MarkDice Agreed.So tired of this nonsense . Soros must be elated.
Emotion: joy
Intensity score:
|
0.040
|
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: @thedrepabon BLM was outraged by the shooting in NC the other day, turns out the guy pointed gun at police. Wait for facts before outrage
This tweet contains emotions:
|
anger, disgust
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
|
Tweet: Made my night that @GordonReid91 Reid was included in tonight's hilarity. Some of those points were brilliant. Thanks @andy_murray
This tweet contains emotions:
|
joy, love, optimism
|
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: @David_Stepp Any other election, fine vote 3rd party as useless as it is but not this one. I hesitate to say it'd be selfish but...
Emotion: fear
Intensity score:
|
0.458
|
Task: Gauge the level of intensity for emotion E in the tweet, assigning it a score between 0 and 1. A score of 0 indicates the lowest intensity, while a score of 1 indicates the highest intensity.
|
Tweet: @ChrisChristie You have no Police credentials-You were a litigator. Nothing more-No Experience. #Sad #TrumpPuppet #Felon #jersey4sale
Emotion: fear
Intensity score:
|
0.521
|
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: @PanicAtTheDisco hey, y'all announced it like immediately after I asked. Nice. Thanks y'all
Emotion: fear
Intensity score:
|
0.250
|
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: @rupindxr my heart actually sunk looooool I was so confused
This tweet contains emotions:
|
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: @NHLstoreNYC cheering for @TeamNA_WCH and @HC_Men
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: @brian5or6 turn that shit off! Home Button under Accessibility. \n\nWhen did innovation become mind fuckery? #rage. #iphonePhoneHome
This tweet contains emotions:
|
anger, disgust
|
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind.
|
Tweet: @Aamnaa___ @drkarthik_n your per capita income is almost same like us. Gini Coefficient is very dismal. Ambitions are high but output Zero.
This tweet contains emotions:
|
anger, disgust, 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: On my life I'll never understand why anyone would pay money to see @LifeOfDesiigner
Emotion: fear
Intensity score:
|
0.250
|
Task: Gauge the intensity of sentiment or valence in the tweet, indicating a numerical value between 0 (extremely negative) and 1 (extremely positive).
|
Tweet: Well look at the bright side. You found a use for that rope #TipsToSurviveAPowerOutage
Intensity score:
|
0.532
|
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: F'n morons u23 SMFH can't just be lackadaisical
Emotion: sadness
Intensity score:
|
0.417
|
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: @BigBossPeltonen \nLikewise #death #cutting
Emotion: fear
Intensity score:
|
0.625
|
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: @xandraaa5 @amayaallyn6 shut up hashtags are cool
This tweet contains emotions:
|
anger, anticipation, joy, optimism, trust
|
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: @ChrisChristie You have no Police credentials-You were a litigator. Nothing more-No Experience.#Sad #TrumpPuppet #Felon #bully #jersey4sale
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: Check out this #film Robocoq 301 #shortfilms
Emotion: joy
Intensity class:
|
0: no joy 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: Today I reached 1000 subscribers on YT!! #happy, #goodday, #thankful
This tweet contains emotions:
|
joy, optimism
|
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: Why bother tweeting poor men's? \nWhat good does it do? If I'm unable to be cheery, I go quiet. Missed you, btw
Emotion: joy
Intensity class:
|
0: no joy 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: @Orrible_Ives I didn't say anything bad about the situation great mate, can't believe some were. Makes me despair of humanity
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Analyze the tweet's sentiment and assign it to either 'neutral or no emotion' or one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: So drunk me hid my keys very well sober me couldn't find it anywhere
This tweet contains emotions:
|
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: @lebara - worst possible decision I could have made when arriving in the UK. Shocking service. Poor coverage.
Emotion: sadness
Intensity score:
|
0.479
|
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: @Deadspin @jrzy_boy This is about him being left off because they wanted to play a heavier game. We needed his offense tho. Amongst others.
Emotion: anger
Intensity score:
|
0.542
|
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: #GADOT please put a left turn signal at Williams and Ivan Allen Jr Blvd. This is absolutely ridiculous #ATLtraffic #horrible
This tweet contains emotions:
|
anger, disgust, 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: Oh goodness I'm loving this rainy day. It's a head down, #creative cap on, & get #lost in your #thoughts kind of day 💭 ☺️ #art #create #biz
Emotion: sadness
Intensity score:
|
0.250
|
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: @tunaeP_ cheer up☺️
Emotion: joy
Intensity class:
|
1: low amount of joy 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: Does this blow your mind as much as it blew mine, or did I just sexually harass someone? #WHOA #Mindblown #huh #setback #fright #madashell 😂
Intensity class:
|
2: moderately 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: I hate when I try to be playful and get shut down lol ...Why so serious🙁
Emotion: joy
Intensity score:
|
0.167
|
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: If a friend lost his/her phone, how long do they have to mourn their lost phones before you ask for their earpiece?
Emotion: sadness
Intensity score:
|
0.458
|
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: god, Facebook's design has started to remind me of MySpace in its heyday
This tweet contains emotions:
|
disgust, pessimism
|
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: Bilal Abood, #Iraq #immigrant who lives in Mesquite, Texas, was sentenced to 48 months in prison for lying to the Feds about #terrorism.
Emotion: fear
Intensity class:
|
1: low 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: A presentations propensity for hilarity plays a large part in determining it's funny/offensive ratio and how well such thoughts will go over
This tweet contains emotions:
|
disgust, joy, surprise
|
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: Kayaking is merriment together with sevylor inflatable kayaks: eYGgJxMl
This tweet contains emotions:
|
anticipation, joy, surprise, trust
|
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: @BigBossPeltonen \nLikewise #death #cutting
Emotion: fear
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: After this news I'm supposed to be so damn happy and rejoicing but I'm here like 😩😔😭😞
This tweet contains emotions:
|
disgust, joy, pessimism, 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: @Harry_Styles you're the smile to my face and the beat to my heart. Thanks for being kind as much as you can be. Mind following me?💓 96,127
Emotion: joy
Intensity class:
|
3: high 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: @Cpt_SRogers_\n'Well it can go one of two ways. You either get over it and accept it, because it's not going to change, or you mope about --
Emotion: sadness
Intensity class:
|
1: low amount of sadness 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: @PatriotsInform I don't see why you think we'll have a dumbed down simplified offense with Brissett. He comes from a very complicated system
Emotion: anger
Intensity score:
|
0.438
|
Task: Measure the intensity of sentiment or valence in the tweet, assigning it a score between 0 (highly negative) and 1 (highly positive).
|
Tweet: @JoeShennan Meanwhile @JoshuaMurrayBM and I are getting a 7.40am train. I hope you really, really enjoy that hotel, Shennan.
Intensity score:
|
0.569
|
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: mm nothing like a good old fashioned panic induced cry on your living room floor
This tweet contains emotions:
|
fear, sadness
|
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
|
Tweet: @KristenWACamera I really enjoyed both episodes. I had a bit of a gloomy day today but I feel a sense of inspiration from listening.
Emotion: sadness
Intensity score:
|
0.479
|
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: My ukulele bag has fallen apart. 😐 WELLL AT LEAST my life hasn't yet!! #optimism
This tweet contains emotions:
|
optimism, pessimism, sadness
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: @chrislhayes It's hard for most folks to realize how deep the hatred is until you dive into the murky end of the pool. This guy is nuts.
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness can be inferred
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: @phil500 \nSo sadden \nSpunky a beautiful dog\nA sad story a lovely happy\nAn loved dog \nPlay little one have fun you\nare so loved
Emotion: sadness
Intensity score:
|
0.452
|
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: Riding at night has got to be one of the most exhilarating, refreshing things I have ever done.
Intensity class:
|
3: very positive emotional state 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: Now this is getting out of hand. I'm freaked out by this death...and I'm God!! #mommaGrendel
Emotion: fear
Intensity score:
|
0.812
|
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: @eileen_davidson on RHOBH, you just do not want to assume an affair while you were married so you criticize @LisaVanderpump! #awful
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 had really strange and awful dreams last night. I'd didn't even eat cheese before bed #lovemysleep
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: He's intimidated by my work ethic I think he knows I want his spot 🤔😉😂😂
Emotion: fear
Intensity score:
|
0.333
|
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: Huns are like a box of coffee revels #horrible
Emotion: fear
Intensity score:
|
0.333
|
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: Bunk ur class📚 at least once in your life time cuz later when u look back good marks will not make u happy but memories😊 will' -APJ
Emotion: joy
Intensity score:
|
0.646
|
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: @jpodhoretz I still respect you. I suppose there is so little to be gleeful about these days so take what you can. Good for you.
Emotion: joy
Intensity class:
|
1: low amount of joy can be inferred
|
Task: Determine the dominant emotion in the tweet and classify it as either 'neutral or no emotion' or one of the eleven provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: @AiringOutMyScro \n\n'We'll see, once you're a few drinks in.' \n\nA playful wink is passed to him and, as they pull up into the small lot of -
This tweet contains emotions:
|
anticipation, joy, optimism
|
Task: Determine the appropriate intensity class for the tweet, reflecting the level of emotion E experienced by the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: This anger inside I turned to fuel, I burned and watched myself spin down, like inferno types,
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: 🏆 #Success is the best #revenge. Whatever you're thinking about doing ... do something better. ⭐️⭐️⭐️⭐️
Emotion: anger
Intensity score:
|
0.250
|
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: To give cheerfully.
Emotion: joy
Intensity score:
|
0.442
|
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: Omg I actually thought she was going to jump. #SouthPark20 #southpark
Emotion: fear
Intensity class:
|
0: no 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: Had a coworker look at her phone and say, cheerfully, 'oh look, Kap's getting death threats now.' 🙄. Then she goes to say the 49ers are
This tweet contains emotions:
|
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: Someone throw a snap dance party for LO. Rest Up big Homie 🙏🏾
This tweet contains emotions:
|
anticipation, joy, optimism
|
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity.
|
Tweet: Pro-lifers are condemning #MenForChoice - but I haven't seen any of you criticize the dismal American foster care/adoption system.
Emotion: sadness
Intensity score:
|
0.458
|
Task: Assign the tweet to one of seven ordinal classes, each representing a distinct level of positive or negative sentiment intensity, reflecting the mental state of the tweeter. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred.
|
Tweet: *violently screams at the four winds* WE AINT EVER GETTING OLDER *cute jovial rhythm starts* *moves hips along and waves arms in the air*
Intensity class:
|
1: slightly 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: Being shy is the biggest struggle of my life. 🙄
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity.
|
Tweet: @TetraVariations I don't need a mask, but I'll gladly make a donation to help in ur name! Is it Mr. TY Rex or first initial only? #serious
Emotion: sadness
Intensity score:
|
0.312
|
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: @MissRBBerry_ @BlaineHale_ @KurtStilinski_ @BeaconScott11 @SStilinski_24 I brought sparkling cider...*holds it up* I know it's not much
Emotion: joy
Intensity score:
|
0.312
|
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: @Uncle_Brown22 yeah dude! Appreciate the #support! #Notorious on ABC, peep it! #grateful
This tweet contains emotions:
|
joy, love, optimism
|
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: @SomeonesAnIdiot @Sean10Lynagh due to hearty lawsuit NASCAR will raise beer prices $0.07 to accommodate for losses.
This tweet contains emotions:
|
anger, anticipation
|
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: When you forget to mention you were bought dreamboys tickets 🙄😂
This tweet contains emotions:
|
joy, love, 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: Wont use using @mothercareuk @Mothercarehelp again!! These guys cant get nothing right!! #fuming
Emotion: anger
Intensity class:
|
3: high 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: When your body says FUCK YOU BITCH, You ain't sleeping\n #sleep #cantsleep #drained
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: Boys of Fall makes me miss cheering on Friday nights much sooooo bad #bulldogslways🐾
Emotion: joy
Intensity score:
|
0.380
|
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: @Nikhilv95 @LydiajaneF I wish, I really, truly wish, that I had just a modicum of your banter.
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: People often grudge others what they cannot enjoy themselves.
This tweet contains emotions:
|
anger, disgust
|
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: Inner conflict happens when we are at odds with ourselves. Honor your values and priorities. #innerconflict #conflict #values
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: Some moving clips on youtube tonight of the vigil held at Tulsa Metropolitan Baptist church for #TerenceCruther #justice #anger #sadness
Emotion: sadness
Intensity class:
|
2: moderate amount of sadness can be inferred
|
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity.
|
Tweet: @harrietemmett great minds think alike.
Emotion: joy
Intensity score:
|
0.479
|
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: @mrfisher81 Just my attempt at levity 😉
Emotion: joy
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: @JaredWyand Maybe if it was transgender the media would cover it #outrage
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: Since the 'update' my @iPhone loses power nearly 40% faster.
Emotion: anger
Intensity class:
|
1: low 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: depress 😭
Emotion: sadness
Intensity class:
|
3: high amount of sadness 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 so excited to see Nat tonight 😍😍.. And how happy and cheery she is! & then I'm even more excited for her to get on social media 😍 #BB18
This tweet contains emotions:
|
joy, love, optimism
|
Task: Categorize the tweet into an intensity level of the specified emotion E, representing the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: snap: hiAleshia 😃
Emotion: anger
Intensity class:
|
0: no anger 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: @DailyMailCeleb @KTHopkins Katie I love how you describe yourself as 'normal'. Really you're anything but! #hilarious #neverchange
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: I envy ice, at least if you give it warmth it melts #TaylorLautner #Twilight #quote
Emotion: joy
Intensity score:
|
0.385
|
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: Now it's time to remove CB from the team somehow. Screw it. Rip the Band-Aid off. It'll sting for a bit but everyone will get over it.
Emotion: anger
Intensity class:
|
2: moderate 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: the grave of a beat, a bravehearted cave lover, cage lover, sage #lover who made #soup of you, twisted to spoony #melancholy, spikes, spices
This tweet contains emotions:
|
anticipation, joy, optimism
|
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: #CharlotteRiots #passion? or #anger act of violence.\nIf mourning for those who have past away, #stayhome #whyout
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: Yo Yo Yo,my name is #DarthVader \nI feel like I need to puff on my inhaler (I'm no rapper but that was some sick bars) #bars #rap
This tweet contains emotions:
|
disgust, sadness
|
Task: Categorize the tweet based on the intensity of the specified emotion E, capturing the tweeter's mental state. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
|
Tweet: I get soooo nervous when an actually attractive guy tries to talk to me in person. Like 9/10 I turn him down just from habit 😭
Emotion: fear
Intensity class:
|
2: moderate 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: Watch this amazing live.ly broadcast by @maisiev #lively #musically
Emotion: joy
Intensity score:
|
0.542
|
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: @CNN please fire don lemon!!Do not let him report on anymore protest. He is #horrible #negative and runs away from the issue at hand!
Emotion: fear
Intensity class:
|
0: no fear can be inferred
|
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity.
|
Tweet: Watch this amazing live.ly broadcast by @mrgummyking #lively #musically
Emotion: joy
Intensity score:
|
0.560
|
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: #aliens #zombie #gore #slash #ghost #sith #horror I love it all. 🔪
Emotion: fear
Intensity score:
|
0.333
|
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust).
|
Tweet: It's meant to be!!
This tweet contains emotions:
|
love
|
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: i stopped watching gotham cause they dropped off tabitha and barb's relationship and made her pine after the main
Emotion: sadness
Intensity score:
|
0.461
|
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: So is cheerfulness, or a good temper, the more it is spent, the more remains. Ralph Waldo Emerson
Emotion: joy
Intensity score:
|
0.438
|
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