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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: @reluctantnicko Don't ask, you don't get. Apologies if I've offended you. All due respect Alan, I think you've been fed duff info.
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: @realDonaldTrump She blamed Benghazi on a YouTube video. She blamed emails on #ColinPowell. Now she blames #terrorism on you. #weakHillary
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Measure the level of emotion E in the tweet using a real-valued score between 0 and 1, where 0 represents the lowest intensity and 1 represents the highest intensity. | Tweet: @value4tax @Hopkins_Alison That part of Queensbury is a shocking disgrace. The route from the station to Morrisons is festooned with rubbish
Emotion: fear
Intensity score: | 0.467 |
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: @TheOnlySweeney their slogan should've been #start instead of #finish
Emotion: fear
Intensity score: | 0.250 |
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: @emilyycos the other 26 was last night at 2am while i watched the balls i animated bounce for 20 minutes figuring out what was wrong
This tweet contains emotions: | anticipation, disgust |
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: are you feeling horribly depressed and despondent about life and your future' - @lauraroyden always knows just what to say
This tweet contains emotions: | optimism, pessimism, sadness |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: and for inconsolable Oxford academics - 'Brussels should just ignore the #Brexit vote and tell the UK it can't leave the EU....ever....wah'
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: @Zen1dfabflake You are all our angelic comrades! #flutter
Emotion: fear
Intensity class: | 0: no fear can be inferred |
Task: Evaluate the tweet for emotional cues and classify it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that indicate the tweeter's state of mind. | Tweet: You shake like that?
This tweet contains emotions: | |
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: @jndtech horrible.
Emotion: fear
Intensity class: | 1: low amount of fear 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: @NebulaJoker No, they aren't. Episodes are animated during the week before they air.
Intensity class: | 0: neutral or mixed 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: Ronaldo has been shocking. He's tried to do skill twice and he's nearly fallen over both times
Emotion: fear
Intensity class: | 0: no fear 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: @hm_custserv #awful service at your Camden store yesterday. Assistants thought it more important to put clothes on hangers than serve.
Emotion: fear
Intensity score: | 0.417 |
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: Rear garden alarm activated at Telford house at 106.4.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
Task: Place the tweet into a specific ordinal class, which captures the tweeter's mental state by considering different levels of positive and negative sentiment intensity. 3: very positive mental state can be inferred. 2: moderately positive mental state can be inferred. 1: slightly positive mental state can be inferred. 0: neutral or mixed mental state can be inferred. -1: slightly negative mental state can be inferred. -2: moderately negative mental state can be inferred. -3: very negative mental state can be inferred. | Tweet: •Days!'\nHe was itching for a fight..itching for the exhilaration of battle, of almost getting defeated, the adrenaline pumping•\n@RojinHitto
Intensity class: | 1: slightly positive 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: Should I give the windy tiger those ankle and wrist tapes? I didn't include any character-specific details in the burning fox, so...
This tweet contains emotions: | anger, disgust |
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 have been seeing terrible terrible prescriptions this week. What's going on?
Emotion: fear
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: They used to laugh at her coz she couldn't afford a junky now they stare in awe while she is winning.
This tweet contains emotions: | anticipation, joy, love, optimism |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: @DuncM1981 @pmallon72 At the risk of being blocked I thought that video from the wake was hilarious.
This tweet contains emotions: | joy, optimism |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: @frecklybellamy the walking dead, mr robot, american horror story, merlin
Emotion: fear
Intensity score: | 0.188 |
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: India should now react to the uri attack.....
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I swear if @devincameron23 blocks me I'm going to hit her back #revenge
Emotion: anger
Intensity score: | 0.646 |
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: Gotta wonder why Caller Max listens to the show in the first place if you so incense him @MSignorile
Emotion: anger
Intensity class: | 0: no anger 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: @grumpy_pumper I involuntarily smile when you frown in photos. And giggle. How annoying!!
Emotion: sadness
Intensity score: | 0.263 |
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: @joemrusso happy birthdayyyyyy pretty. Miss you!
This tweet contains emotions: | joy, love |
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: If you simply act out of kindness, strength, and optimism, today will be the best day ever! @Tarleton_KINE @DrKaylaPeak @jssimpson9
Emotion: joy
Intensity class: | 2: moderate 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: @zavvi @zavvihelp only offering 6 moth warranty #ps4pro #truth #ripoff
Emotion: fear
Intensity class: | 0: no 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: Always do sober what you said you'd do drunk. That will teach you to keep your mouth shut. \n― Ernest Hemingway #quote
Emotion: sadness
Intensity score: | 0.479 |
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: Southend players always haunt Man U
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: I found #marmite in Australia. `:)
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet. | Tweet: I get so nervous even thinking about talking to ****** I wanna die
Emotion: fear
Intensity score: | 0.979 |
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: I can't wait for you to listen to my new single 'Mystery' and my new album😋. #newmusic #newsingle #newalbum #2016 #popmusic #dark
Emotion: sadness
Intensity class: | 0: no sadness 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: @ATTCares why do I have 2 wait 48 hours to call YOU back to cancel an order I JUST placed after already spending 2 hours on the phone?! #sad
This tweet contains emotions: | anger, disgust, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: I Don't know what make #Pakistan fear more their #terrorist or their #TerrorStatePak
Emotion: fear
Intensity score: | 0.562 |
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: Zero help from @ups customer service. Just pushing the buck back and forth and promising callbacks that don’t happen. #anger #loathing
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: So my Indian Uber driver just called someone the N word. If I wasn't in a moving vehicle I'd have jumped out #disgusted
Emotion: anger
Intensity class: | 3: high 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: So grim being up at 6
Emotion: sadness
Intensity class: | 3: high amount of sadness 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: Everything you’ve ever wanted is on the other side of fear. –George Addair #ThursdayThoughts #yourpushfactor #life #quote
This tweet contains emotions: | fear, optimism |
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: @LdhranOusby @RobHarris inclined to think that 'documentary' did him more harm than good. If not I despair of people's critical faculties.
This tweet contains emotions: | anger, 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: Unbelievable from McDavid and Matthews. Lundqvist can do nothing but shake his head #WCH2016
This tweet contains emotions: | anger, disgust, sadness, surprise |
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: #GBBO is such a homely pure piece of tv gold. Channel 4 will attempt to tart it up. Mary, Sue and Mel gone. It's over. I'm out. 👋 #fuming
Emotion: anger
Intensity score: | 0.625 |
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: @SowerAsh007 Great to hear. If there's one thing that makes you feel more like yourself, it;s some hearty chicken noodle soup, right?
Emotion: joy
Intensity score: | 0.460 |
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: Argh a big wasp buzzing between my blinds and my window. Halp! #wasp #evil #buzz
Emotion: anger
Intensity class: | 2: moderate amount of anger can be inferred |
Task: Classify the mental state of the tweeter based on the tweet, determining if it is 'neutral or no emotion' or characterized by any of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust). | Tweet: I told myself i wouldn't talk about this but i need to bring it up. I'm slightly bitter about the tøp cover of cancer
This tweet contains emotions: | anger, disgust, sadness |
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: @serendipity127_ @zombiecalorie @Angel_Eyes66 I'm sensing a theme here tho lol
Emotion: anger
Intensity class: | 0: no 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: Chart music is pretty much ALL the same..
This tweet contains emotions: | joy, trust |
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: #travelfail #virgin #virginaus and #etihad #nightmare ... And now we're also delayed. #obvs 🙄😠
Emotion: fear
Intensity class: | 0: no fear 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: @SharadK7 awaiting to see ur new avataar #rowdy #action #angry young man
Intensity score: | 0.431 |
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: Don't get discouraged when simple minds don't see your vision
This tweet contains emotions: | optimism, trust |
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: @WilsonsWorld I was in high school and remember helping neighbors clean up back home in Greenville. Pretty sobering stuff. #sadness
Emotion: sadness
Intensity class: | 3: high amount of 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: @wittyneeraj What is Shehla Rashid & Kaniyah Kumar saying about you ? and when they say truth indians threaten them. #FakeDemocracy
This tweet contains emotions: | disgust, fear |
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: can't believe Mint fest is two days away and i hate my outfit 😩😩🙈 #nightmare
This tweet contains emotions: | anger, disgust, fear, sadness |
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: @SpookyHelder ...specifically are the cause of it all, and they resent being considered the enemy.
Emotion: anger
Intensity class: | 1: low 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: I'm literally never home and my parents threaten to charge rent if I don't start cleaning the house everyday. OK.
Emotion: fear
Intensity class: | 0: no fear 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: hi my names anxiety and i have shaun
This tweet contains emotions: | fear |
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: @LBardugo Start w/ the 3 songs in Blue Neighborhood\n1) Wild\n2)Fools\n3)Talk Me down 😭😭for #Wesper\nAlso,\n4)Too Good. #serious kaz/inej feelz
Emotion: sadness
Intensity score: | 0.375 |
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: Tonight's #DragRace #AllStars2 episode GAVE ME LIFE! Yaassss queens! #teamalaska #teamkatya #bwahaha
Emotion: anger
Intensity class: | 0: no 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: amateur author Twitter might be the most depressing thing I've ever seen
Emotion: sadness
Intensity score: | 0.688 |
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: @JessicaValenti @nytimes I don't know... Wasn't punk mostly about white men throwing tantrums?
This tweet contains emotions: | |
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: @dish_answers I've contacted @dish @dish_answers #awful #service #whathappenedtocustomerservice
Emotion: fear
Intensity score: | 0.396 |
Task: Categorize the tweet's emotional expression, classifying it as either 'neutral or no emotion' or as one or more of the specified emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that reflect the tweeter's state of mind. | Tweet: #BB18 Michelle crying again #shocking #bitter He's just not that into you 😢#TeamNicole
This tweet contains emotions: | 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: [My teeth were sunk down into the vein of the poor woman who had 'accidentally' had a small problem with her engine, just outside of --
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: As #life gets longer, #awful feels #softer, well it #feels pretty soft to me. #modestmouse @modestmouseband
This tweet contains emotions: | joy, optimism, sadness |
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: @quiettcricket can you maybe break it down into smaller bits? or space it out so it doesnt seem to daunting?
Emotion: fear
Intensity score: | 0.458 |
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: Thinking about trying some comedy on youtube. Always been fond of it. Time to nut up. #laughter #comedy #maybeoneday #hopefullyfunny #LOL
This tweet contains emotions: | joy |
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: All the 'juniors' are now wearing purple at ollafest while I'm here fighting with my alarm about when I need to wake up for German #sadness
Emotion: sadness
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: If a cop is going to pull a gun on you for no reason at all and threaten you, you should be able to merk his ass and walk away.
Emotion: fear
Intensity class: | 0: no fear 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: Changed my clothes at work and had my pre-workout.. In route to the gym and there is traffic all over - pre workout kicking in.. #rage
Emotion: anger
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: @Apple thanks for ios10 update, even the best app @telegram freezing and crashing on SE. #angry
Emotion: anger
Intensity score: | 0.845 |
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: @DxfyingGrxvity - frustration, looking up at Elphaba in a frown of aggravation. Her high pitched voice was growing more and more --
Emotion: sadness
Intensity class: | 1: low 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: There's this Bpharm4 guy Eish that guy brings anger into my life. When I see him nje like darkness fills me @RamatsobaneM will know
Emotion: anger
Intensity score: | 0.667 |
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: @scottlocker220 Thank you for that, the notification came in the nick of time to cheer me up - have to re-tweet
Intensity class: | 1: slightly positive emotional state can be inferred |
Task: Identify the primary emotion conveyed in the tweet and assign it to either 'neutral or no emotion' or one or more of the provided emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best capture the tweeter's mental state. | Tweet: @bolain_branden @GrimsToyShow grim should find broken Matt hardy because he can delete everything lol
This tweet contains emotions: | joy, trust |
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: @ThomasHCrown @laurakfillault As a historic evangelical, I wonder if the Donatists had a point? What dreadful clergy in my fmr. circles.
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive). | Tweet: Does anyone remember a movie that is animated in the late 70's called Shame of the Jungle John Bulushi was in it wild if that's your taste
Intensity score: | 0.500 |
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 can't WAIT to go to work tomorrow with a high as fuck fever. [sarcasm]\nHopefully I'll feel better tomorrow.\nBut I doubt it. #pessimism
This tweet contains emotions: | 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: What's up Cowboys? #horrible
This tweet contains emotions: | anger, disgust |
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: @morgannbroom yes ❤️❤️ & cheering homecoming game!
This tweet contains emotions: | joy, love, optimism |
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: #EFT is the single most effective tool I've learned in 40 years of being a therapist-Dr. Curtis A. Steele (psychiatrist) #stress #anxiety
This tweet contains emotions: | fear, sadness |
Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E). | Tweet: @Hails_Berry8 @sajedhariri23 varsity pine riding
Emotion: sadness
Intensity score: | 0.208 |
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: The majority of my clients have family/ partner/ day job/ life AND write their beautiful books. #gratitude #HARDwork
Emotion: fear
Intensity score: | 0.123 |
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: In other news. My legs hurt. #running #5kin26mins #dreadful #flatfeet
This tweet contains emotions: | anger, disgust, sadness |
Task: Determine the degree of intensity for emotion E in the tweet, giving it a score between 0 and 1, where 0 signifies the least intensity and 1 signifies the greatest intensity. | Tweet: I don't know what WiFi/ISP Rivertide Suites in Seaside #Oregon uses. But 53ms ping best I can get and a D/L test won't complete.. #terrible
Emotion: fear
Intensity score: | 0.333 |
Task: Assess the emotional content of the tweet and classify it as either 'neutral or no emotion' or as one or more of the given emotions (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) that best represent the tweeter's mental state. | Tweet: #Pakistan is ‘terrorist state’, carries out #war crimes: #India to @UN.\n#UNGA #terrorism #UN
This tweet contains emotions: | anger, disgust, fear |
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: Weak people revenge. Strong people forgive. Intelligent people ignore.
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: Anyone else find @Microsoft 'anniversary windows 10 update 1607' a Complete #nightmare
This tweet contains emotions: | anger, fear |
Task: Rate the intensity of emotion E in the tweet on a scale of 0 to 1, with 0 indicating the least intensity and 1 indicating the highest intensity. | Tweet: I had a panic attack when I couldn't find @katrinalaw on #Twitter Turns out my Twitter is a jerk. I can still see her. #NyssaAlghul
Emotion: fear
Intensity score: | 0.688 |
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 hate that a black lady is painting herself white on the internet for laughs and likes... #BadForm #DidntLaugh
This tweet contains emotions: | anger, disgust, sadness |
Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred. | Tweet: @PARISDENNARD why should I listen to someone with a tie like that? #awful
Emotion: fear
Intensity class: | 0: no 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: Be happy. Be who you want to be. If others don't like it, then let them be. Happiness is a choice. Life isn't about pleasing everybody....
Emotion: joy
Intensity class: | 1: low amount of joy 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: @stevie7t Why does talksport sound like it's being broadcasted from someone's basement #quality #amateurs
This tweet contains emotions: | disgust |
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: Rooney ! Oh dear, oh dear ! Fucking dreadful 🙈⚽️⚽️
Emotion: sadness
Intensity score: | 0.625 |
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: @Sirenja_ @JaxOfBo (like, hope i didn't offend with my commentary - it wasn't what I was intending!)
Emotion: anger
Intensity score: | 0.500 |
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: Undifferentiated otherwise patent closest patron braininess ideas that incense the offensive lineman: wHYaNEWG
Emotion: anger
Intensity score: | 0.375 |
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: @EducatedNPetty white pricks that were laughing at your use of language won't be crying over your coffin but rejoicing that you're another
Emotion: joy
Intensity class: | 0: no joy 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: Can we get a shot of Lingys face at 1/4 time ? Pretty sure it would be more red then his hair #pretendinghesok #ruok #AFLCatsSwans
Emotion: anger
Intensity class: | 1: low amount of anger 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: Happy Birthday @Brooke56_56 #cheer #cheerchick #jeep #jeepgirl #IDriveAJeep #jeepjeep #Cheer
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: @crystaldiamondo impossible to say. We can only hope that I don’t unwittingly trigger her ferocious side again. Hell hath no fury..
Emotion: anger
Intensity class: | 3: high amount of anger can be inferred |
Task: Determine the sentiment intensity or valence score of the tweet, representing the tweeter's mental state on a continuum from 0 (highly negative) to 1 (highly positive). | Tweet: @EE your website is making me feel violent rage and your upgrade options aren't helping either. #Aaaaarrrrgghhh #iwanttocancel #rage
Intensity score: | 0.086 |
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: May the optimism of tomorrow be your foundation for today.
Emotion: joy
Intensity score: | 0.540 |
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