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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: Follow me on Snapchat 👻 Carlabtst15 #snapchat #snap
This tweet contains emotions: | anticipation |
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: Obama admin rejects Texas plan to have refugees vetted for terrorism so Texas pulls of of fed refugee resettlement program. Aiding .
Intensity score: | 0.355 |
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: @officialShaky 'Operation Echoes' is gathering momentum ... #tense #feelsick #excited
Emotion: fear
Intensity score: | 0.667 |
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: A persons opinion doesn't offend me at all
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: @voguemagazine, did you not learn from @FreePeople 's viral insult to ballet? Stop trying to wrongfully stick models into pointe shoes 🙄
This tweet contains emotions: | anger, disgust |
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: #terribledebatequestions has given me so many laughs this afternoon! Thanks Twitter! #hilarious #cleverpeople
Emotion: joy
Intensity class: | 3: high amount of joy 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: @candycmarketing What happens if you don't want to watch this 'content'? Can't vote then 😆
Emotion: joy
Intensity class: | 1: low amount of joy 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: Punchline king is back! @Paedeezy 🔥🔥🔥🔥🔥🔥🔥💯💯💯 #bright city lights
Intensity class: | 1: slightly positive emotional state 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: Accept the challenges so that you can feel the exhilaration of victory!!
Emotion: joy
Intensity class: | 1: low 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: Watch this amazing live.ly broadcast by @footballrocks123456 #musically
This tweet contains emotions: | joy |
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: Projection is perception. See it in someone else? You also at some level have that within you. #anger #worry
Emotion: fear
Intensity score: | 0.542 |
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: Was a huge fan of @Ryanair but last few flights have been horrific. #rude #poorservice #nostock etc etc etc #dissapointed
This tweet contains emotions: | anger, disgust, 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: Our soldiers in war zones are held to a higher level of rules of engagement than our police officers.
This tweet contains emotions: | sadness, trust |
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: @katlute which one....the one where u threaten violence? Or the phedophiliac u support? Or the constitution violations he proposes?
Emotion: fear
Intensity class: | 2: moderate amount of fear 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: @AdsByFlaherty And you're cheerfully defending a group of unchecked, armed thugs who've shown a history of racism, violence, and lies.
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: God favors men and women who delight in being made worthy of happiness before the happiness itself.
This tweet contains emotions: | joy, optimism |
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: @RogueFatale Oh, you insult me! What, you think just because I look like this, I'm psycho? I'm more sane than most Gotham freaks...
Emotion: anger
Intensity class: | 3: high amount of anger 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: Yesterday is history, tomorrow is amystery, and today is a gift; that's why they call it the present #livelife #humbleness #live
Emotion: joy
Intensity score: | 0.500 |
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: -c- and disarmed of her equipment on suspicion of being a potential accomplice to Annie Leonhart.
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: 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: @ScottAdamsSays broke it down on #snap great analysis on #CNBC
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Assess the intensity of sentiment or valence in the tweet, representing the tweeter's mental state with a real-valued score between 0 (extremely negative) and 1 (extremely positive). | Tweet: Why the FUCK have i just saw a Game of Thrones spoiler on snapchat? SOME OF US HAVENT SAW IT YET 🖕🏻🖕🏻🖕🏻🖕🏻🖕🏻 #arsehole
Intensity score: | 0.207 |
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: And btw... I really did stay in bed all day today. #depression I hate being lied to, fuck liars. -w-
This tweet contains emotions: | anger, disgust, pessimism, 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: @Bridget_Delia @originalaubs omg that's terrible
Emotion: fear
Intensity class: | 1: low amount of 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: very very irritated 😐
Emotion: anger
Intensity class: | 3: high amount of 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: @ArizonaCoyotes not to mention the GRA guy stops me but let's the 2 ppl in front of me go. WTF. My blood is boiling.
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: Where are some great places to listen to blues? #nightlife #NightLifeENT #blues #jazz #gatewayarch #stlouis #washingtonave
Emotion: sadness
Intensity class: | 0: no sadness 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: @SarahMi40605180 @kaileighhxo sorry to burst the bubble but there was never any illusion 🙈😂😂
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: @thebully10 does being a #bully make u feel like a #bigman? Cos it makes u a #twat
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: In my room 101 would go Russell Howard,Tom Odell,Michael Buble!!! #pants #nogood
This tweet contains emotions: | anger, disgust, pessimism, sadness |
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: @delon03 can you at least just walk past her and break out into laughter
This tweet contains emotions: | anticipation, joy, trust |
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 sorry but since when is an #indiegames #DLC worth nearly £130 that's just plain lunacy when the game itself is £20odd, #astounded 😱
This tweet contains emotions: | anger, sadness, surprise |
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: Went to bed a 1:30, fell asleep after, my niece started crying at 4. I'm dying... 😧
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: It's not always about the getting but its about the receiving of what has already been given. Receive the joy made available! #jesus
This tweet contains emotions: | joy, optimism, trust |
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: Next month we'll be running overcoming #lowmood, overcoming #worry and improving #wellbeing courses in #Louth. Self refer on 0303 123 4000
This tweet contains emotions: | anticipation, fear, optimism, 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: Unruly kids at 8am in the morning #nothanks ripping the flower beds up by the roots while their parents watch #shocking
Emotion: fear
Intensity score: | 0.646 |
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: @R1Breakfast Totes had to re-listen to the endless hilarity that was Tom Odell's 'raaar' this morning 😂😂😂 @grimmers @fionaradio @TinaDaheley
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Classify the tweet into one of four ordinal classes of intensity of emotion E that best represents the mental state of the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @SadiqKhan #terrorism shouldn't be a way of life in the united etates and wasn't until #islam brought it here! #IslamExposed #islambacon
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @MA_Bisson @AroundTheRings @LA2024 'felt our soul'! hilarious!
This tweet contains emotions: | joy |
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: @scdesc Yup. And Val basically ignoring the recipe. I'm just done. I keep bursting into laughter x
This tweet contains emotions: | joy, optimism, surprise |
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: Southend players always haunt Man U
Emotion: fear
Intensity score: | 0.417 |
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: the sad moment when u hand in an exam knowing u failed and grieve by eating and sleeping
This tweet contains emotions: | fear, pessimism, sadness |
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: I feel like singing the song human sadness by Julian Cassablancas and The Voidz or some other sad music. #depression #sad #sadness
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: @EASPORTSFIFA EA sports technical support team really suprised me 😊 SUPRISED ME AT HOW SHIT THEY WERE
This tweet contains emotions: | anger, disgust, surprise |
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: Removal regardless of cost a lamentable answer: ajvKSK
This tweet contains emotions: | |
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: 18' \nMichael Carrick as struck the back of the net much to the delight of under pressure man u fanz and MOU...
This tweet contains emotions: | 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: If the future doesn't fill you with existential dread are you even a real person
This tweet contains emotions: | anticipation, disgust, 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: Maybe @SamHeughan can send me good luck on my job interview tomorrow. #nervous 😳
This tweet contains emotions: | fear, pessimism |
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: @raylewis name change Uncle Remus Lewis #foh #theydontlikeyoueither #lost #unwoke
Emotion: sadness
Intensity score: | 0.500 |
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: #Terencecutcher #Tulsa the man onthe helicopter said he looks like a bad dude, that is the problem, when they see black they see bad,
Intensity class: | -2: moderately negative emotional state 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: I wish I could fast forward 3 months from now, I'll know then where I'm at with my girl, my classes, and basketball. Rn I have pure #anxiety
This tweet contains emotions: | 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: @johnaugust @clmazin I was so looking forward to @ABCDesignated. Then it opened with a #stuartspecial. I literally yelled at my tv.
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: follow my girl tiff she only got 3 followers💖💘💖💘💘 @00tiffanyr
Emotion: anger
Intensity class: | 0: no anger can be inferred |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: It is important to seek peace, even in the midst of a horrific war #CreateSyria @intalert #TalkingPeace #buildingpeace
This tweet contains emotions: | 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: The Lord thy God in the midst of thee is mighty; he will save, he will rejoice over thee with joy; \nZephaniah 3:17 KJV
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: @1xfly you sir are hilarious
This tweet contains emotions: | joy |
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'll happily be rude to people who personally insult me unprovoked, they deserve it 👍 Just as good people deserve respect
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: But uncle buck is on tho . #UncleBuck #hilarious
Emotion: joy
Intensity score: | 0.500 |
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: @JudicialWatch What a shake down operation!
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: Step out of your comfort zone. \nGo for risks.\nFace things you fear. \n\nThis is when life starts to happen.\n\n#cpd
Emotion: fear
Intensity score: | 0.396 |
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: It's amazing how something gets stuck in your head, and you can't shake a memory... Sometimes, I miss people a lot. Wish they knew.
Intensity class: | 0: neutral or mixed emotional state 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: Fam what seems more fun for a photo booth: being able to instantly post to Twitter or having to wait till sober to see the hot mess
Intensity class: | 0: neutral or mixed emotional state 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: #ntfc mourinho is worried, bringing Ibra and Rushford on. #panic
Emotion: fear
Intensity class: | 1: low amount of fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: @wwcummings @USATODAY this individual is clearly trying 2 #intimidate this #LEO I see an issue here. STOP CAUSING ISSUES by pushing limits!!
This tweet contains emotions: | anger, disgust |
Task: Calculate the intensity of emotion E in the tweet as a decimal value ranging from 0 to 1, with 0 representing the lowest intensity and 1 representing the highest intensity. | Tweet: I HATE little girls 😡😡 got a lot off growing up to do!!!
Emotion: anger
Intensity score: | 0.688 |
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: @Spacekatgal @outmagazine Its okay to be trans just rejoice with the trans in the trans way. By the way it's not your business, so why care?
Intensity class: | 0: neutral or mixed emotional state 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: @AceOperative789 no pull him afew weeks ago, sadly theres no game audio or sound affects cause i played it on my phone and tryed everything
Emotion: sadness
Intensity score: | 0.479 |
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: Oh @BentleySystems what hast thou done to thy configurations? #despair
This tweet contains emotions: | disgust, 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: The pine colada starburst nasty. Don't @ me
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: @huwellwell One chosen by the CLP members! MP seats are not for people to dole out to their mates, we elect candidates. #fuming
Emotion: anger
Intensity class: | 3: high amount of anger 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: @Ms_Asia_Pacific @jgsuing @PilosopoTanya @HuffingtonPost @HuffPostPol as a fellow UP grad, i shiver at the shallowness of his arguments
This tweet contains emotions: | anger, disgust, fear |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: A trip to the dentist never gets any easier!! #nervous
This tweet contains emotions: | fear |
Task: Categorize the tweet's emotional tone as either 'neutral or no emotion' or identify the presence of one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: @CorningFootball IT'S GAME DAY!!!! T MINUS 14:30
This tweet contains emotions: | anticipation, 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: @rkuuleiq Fear is best/beast product of God/s. :) #aTheism #theism #biBle #afraid #christianity #hell #heaven #purgatory #psychology #jesus
Emotion: fear
Intensity score: | 0.417 |
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: Quite possibly the worst anthems I've ever heard in pro sports by both singers. I wish I was deaf. #ASG2017 #mlb #MLBAllStarGame
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: Just paid out my arsehole for a couple of New Found Glory tickets but it's gonna be a GREAT start to my birthday weekend 👊
Emotion: sadness
Intensity class: | 0: no 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: luv seeing a man with a scowl on his face walking with a protein shaker clenching his fists. i immediately stop n suck his dick
Emotion: anger
Intensity class: | 2: moderate amount of anger 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: Did u laugh today? Laugh hard? I hope so..we NEED laughter now. #smile #love
Intensity class: | 3: very positive 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: @ThomasEWoods I would like to hear a podcast of you going off refuting her entire article. Extra indignation please.
Intensity class: | 0: neutral or mixed 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: In the name of our Lord & Saviour Harambe we pray, bless all apes across the world.\n\nHear our solemn oaths and pardon sympathetic hominids.
Emotion: sadness
Intensity score: | 0.333 |
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: @WestHamUtd why does the ticket website never work? Trying to buy Palace tickets and it's impossible and says there's an error
Emotion: fear
Intensity score: | 0.375 |
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: Okay. Brace yourself. I will attempt my first loaf of bread in the morning. I will use a dutch oven. I will make the dough now.
Emotion: fear
Intensity score: | 0.479 |
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 is that in 2016, a 757 airplane does not have WiFi...ridiculous.#AmericanAirlines #americanairlinessucks #AATeam #horrible
Emotion: fear
Intensity score: | 0.380 |
Task: Assign the tweet to a specific ordinal class that corresponds to the tweeter's mental state, considering various levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: @DJ_Musicologist #Disney's 1994 #animated #musical #film #TheLionKing was influenced by #WilliamShakespeare's #Hamlet. Songs by #EltonJohn.
Intensity class: | 1: slightly positive emotional state 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: @RonBaker6694 I got a super speeder and lost my license for 6 months! 😩🔫
Emotion: sadness
Intensity score: | 0.583 |
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: @bt_uk appointment booked between 1-6 today, waited in all day and nobody showed up, also requested a call back and never got one #awful
This tweet contains emotions: | anger, disgust |
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: Pakistan is the biggest victim of terrorism - Nawaz Sharif \nReally? It should have been biggest creator of terrorism. #UNGA
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
Task: Classify the tweet's emotional intensity into one of four ordinal levels of emotion E, providing insights into the mental state of the user. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: Had to delete my Facebook too much for me 🤣
Emotion: joy
Intensity class: | 0: no joy can be inferred |
Task: Evaluate the strength of emotion E in the tweet, providing a real-valued score from 0 to 1. A score of 0 denotes the absence of the emotion, while a score of 1 indicates the highest degree of intensity. | Tweet: Fee otherwise tricks: palm oil delegation mt jaunty resident: TZxCHLdAQ
Emotion: joy
Intensity score: | 0.269 |
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: @Montel_Williams If this ban goes through, it will harm so many people, disabled veterans, people who have #chronicpain, #anxiety #iamkratom
Emotion: fear
Intensity score: | 0.845 |
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: Thank you @twitter for the balloons today. #goodday #48
Intensity class: | 3: very positive emotional state can be inferred |
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: @KermodeMovie I shall be mooning him cheerfully when he arrives. Although he probably won't be president by then...
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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: Shooting more than ever, making more mistakes than ever but I jumped in the pool of sharks a long time ago. #relentless *#resilient
Intensity class: | 0: neutral or mixed emotional state 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: It could be soul-crushing despair, but it also might just be the marshmallows I had for breakfast
Emotion: sadness
Intensity class: | 1: low amount of sadness 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: @Deadspin @Rlblack1Rob My guess is he's just a convenient target for misplaced anger. What they're really mad at is how they played.
This tweet contains emotions: | anger |
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: And she got all angry telling me 'but what would be doing a 40 year old guy looking for a girl like you' and I felt #offended
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: That goes the
Emotion: fear
Intensity score: | 0.104 |
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: Absolutely fuming I've just scratched all my car 😡😡😡😡😡😡
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Assess the magnitude of emotion E in the tweet using a real number between 0 and 1, where 0 denotes the least intensity and 1 denotes the most intensity. | Tweet: @GMModular @goldmedalindia horrible experience with a company like this #goldmedal #horrible sales person #wrong commitments#wrongproduct
Emotion: fear
Intensity score: | 0.542 |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: Candice's pout is gonna take someone eye out mate! #GBBO
Emotion: sadness
Intensity score: | 0.312 |
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: You're so cute @katienolan #truelove #hilarious @GarbageTime #beautiful & #graceful never heard explicits spoken with such elegance. #Mingo
Emotion: joy
Intensity score: | 0.740 |