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Read the tweet "AQW should've always stayed in the 08 art style, now it's just a competition to create more detailed art each time." and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 0: no sadness can be inferred |
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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: @eileen_davidson on RHOBH, you just do not want to assume an affair while you were married so you criticize @LisaVanderpump! #awful
This tweet contains emotions: | anger, disgust |
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Assess the level of joy present in the following tweet: "Just popped a half bottle of 2014 @Bellawines #sparkling #gamaynoir from Westbank. Evenin', folks! \n#bcwinechat". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.620 |
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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 feel so blessed to work with the family that I nanny for ❤️ nothing but love & appreciation, makes me smile.
Emotion: joy
Intensity score: | 0.938 |
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For the tweet "Watch this amazing live.ly broadcast by @mrgummyking #musically", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | joy, love |
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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: Latest on new optimism on keeping #Raiders in #Oakland, live right now on @KCBSNews: @NFL meets here w/Lott & Schaaf to talk new stadium
Intensity score: | 0.677 |
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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: My 2 teens sons just left in the car to get haircuts. I'm praying up a storm that they make it home safely!! #sad #TerenceCrutcher
This tweet contains emotions: | fear, sadness |
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Analyze the tweet "@everycolorbot more like every color looks the same #triggered #colorblind #offended" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 2: moderate amount of anger can be inferred |
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Your task is to measure the intensity of joy in the tweet: "Accept the challenges so that you can feel the exhilaration of victory. George S. Patton #quote #yeg". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.440 |
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Read the tweet "Trying to think positive, and not let this situation discourage me ✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨✨" and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 1: low amount of sadness can be inferred |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @JordySloan love that Jordy #revenge ⚽️
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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Given the tweet: "I'm not afraid of clowns but I'm really hoping they don't make an appearance around my hometown." and the emotion: fear, rate the intensity of this emotion on a scale from 0 to 1, where 0 indicates no intensity and 1 indicates maximum intensity. | 0.600 |
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Assess the emotional intensity of fear in the following tweet: "@MrMalky @kwr66 How awful! Switched off!". Answer with a number between 0 (least intense) and 1 (most intense). | 0.667 |
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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: @UKLittleKitchen Defo a hearty root veg gratin. Nice comfort food as Autumn kicks in
Emotion: joy
Intensity score: | 0.480 |
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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: If my luck the rest of Fall goes anything like today, I think I'm going to like this season. #bestdayever #magic #work
This tweet contains emotions: | joy, optimism |
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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: @FieldYates @MatthewBerryTMR @Stephania_ESPN @MikeClayNFL @FrankCaliendo goddamn...the 'celebrity' draft at the end was classic. #hilarious
Emotion: joy
Intensity class: | 2: moderate amount of joy can be inferred |
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Determine the valence intensity of the following tweet, considering the mental state of the author. Assign a real number between 0 and 1, where 0 denotes extremely negative and 1 denotes extremely positive.
Tweet: @glacierqxeen \n\n'Whoo, welcome~!' He greeted cheerfully. | 0.719 |
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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 miss the guy who always make me sulk
Emotion: sadness
Intensity score: | 0.604 |
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For the tweet "@Miami4Trump Yeah, but bad part is the #terrorism #terror Muslims won't be the ones leaving #ObamaLegacy #nationalsecurity #disaster #Obama", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | anger, disgust, fear |
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Analyze the tweet "How had Matty Dawson not scored there!!!!! #terrible" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.375 |
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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'm just a fuming ball of anger today 🙃
This tweet contains emotions: | anger, disgust |
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Analyze the tweet "😳The intensity that @sydneyswans play at is extraordinary #relentless #AFLCatsSwans #AFLFinals 🏉👏🏿" to classify the intensity of the emotion anger. Your options are: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred. | 0: no anger can be inferred |
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Read the tweet "ok, ok.. I know.. my last tweet was #terrible" and determine the level of fear present. Select from these options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 0: no fear can be inferred |
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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: What's a Kali's kitten? [She asked, a frown curling on her fair skinned forehead as he showed her the scar] A cat did - (@ScarredTiger)
This tweet contains emotions: | neutral or no emotion |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @iAmSJ I'm so mad for our clients I'm furious lmao
Intensity class: | -2: moderately negative emotional state can be inferred |
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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: Wishing i was rich so i didnt have to get up this morning #poor #sleepy #restless #sad #needsmoresleep
Emotion: fear
Intensity score: | 0.469 |
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Examine the tweet "Time for some despair #SDR3 #despair #fuckthisanime" and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | anger, sadness |
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Using a scale from 0 (no intensity) to 1 (maximum intensity), evaluate how strongly sadness is expressed in this tweet: "This world has some serious issues we should all go to therapy". | 0.750 |
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Based on the given tweet, determine the level of fear the author is experiencing. Choose from the following options: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred.
Tweet: @_JuliaSteiner : YES ! Right ? I mean I wish you hadn't been discouraged to see #MikeandMolly because so many parallels really - | 0: no fear can be inferred |
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Given the tweet "@gurrie_j thanks for making me super sad about Pizza. #freepizza", identify any present emotions from this list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If none are present, answer "neutral or no emotion". | joy, optimism, pessimism, sadness |
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Please determine the intensity of the emotion joy in the tweet "And the weather so breezy, man why can't life always be this easy". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.562 |
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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: What I would give\nTo feel the sunlight on my face\nWhat I would give\nTo be lost in your embrace 🎧\n\n#Fallen
Emotion: sadness
Intensity class: | 2: moderate amount of sadness can be inferred |
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Using the given tweet "@RevTrevK @Wolfman93011 @Daraidernation @EROCKhd Take 2k out of it the numbers on madden are low and have dropped and people are unhappy", determine the level of the author's emotional state. Your options are: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -3: very negative emotional state can be inferred |
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Task: Classify the tweet into one of four ordinal intensity levels, indicating the degree of emotion E experienced by the tweeter. 0: no E can be inferred. 1: low amount of E can be inferred. 2: moderate amount of E can be inferred. 3: high amount of E can be inferred.
Tweet: 😑😑😑<---- that moment you finish a Netflix series and have nothing else to watch. #depression
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: @RobdotThom @sulphurhoops in fact they need to start making all holidays! Maybe even e dry month pick a theme so we can have them all year
Emotion: fear
Intensity score: | 0.229 |
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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: Onus is on #Pak to act against #terror groups which find all types of support for cross border terror: #MEA
This tweet contains emotions: | fear |
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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: @xxnogard_G88 Welcome to the dark honey !
This tweet contains emotions: | neutral or no emotion |
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For the tweet "Beginning the process to see if working is an option. #mentalhealth #complexptsd", assess the intensity of the emotion fear. Choose one of the following: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 1: low amount of fear can be inferred |
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Consider the emotion fear and the tweet "@comcast you charge 150 extra for sending someone out and your cable service still doesn't work. That's robbery. #cable #horrible #service". Evaluate the intensity of this emotion in the tweet, assigning a value between 0 (least intense) and 1 (most intense). | 0.333 |
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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: @UltimateBoxer My heart because you left me for so long again\n\n*slight pout but it turned to a smile*\n\nheheh just kidding, no I'm fine-
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Examine the tweet "@jaybusbee Well, not Archie. No offense but he's kinda old." and determine which of these emotions are present: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If there are no identifiable emotions, reply with "neutral or no emotion". | anger |
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Determine which emotions are present in the tweet "@GOT7Official @jrjyp happy birthday jin young!!!!!! #PrinceJinyoungDay #happyjinyoungday #got7 #happy #birthday". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | joy, love, optimism |
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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: #Terrorism can be destroyed easily if #wholeworld came together great strength..they could destroy this #fear from #humanity..
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Determine how strongly joy is expressed in the following tweet. Use the scale: 0: no joy can be inferred, 1: low amount of joy can be inferred, 2: moderate amount of joy can be inferred, 3: high amount of joy can be inferred.
Tweet: #Appreciate what you have & enjoy your life. \nUse your #smile 😃 to help others use theirs. ☺️ | 2: moderate amount of joy can be inferred |
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Given the tweet "♪OLD FISH #discourage" and the emotion sadness, how intense is this emotion? Assign a numerical value between 0 and 1 to represent the intensity level. | 0.656 |
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Assess the emotional intensity of anger in the following tweet: "Paul forever. Paul should have won! Paul played such a better game! #BB18". Answer with a number between 0 (least intense) and 1 (most intense). | 0.438 |
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Analyze the tweet "@_Hallospaceboy_ @DailyGrindhouse I respect when someone can give a second chance to a movie they aren't a fan of. Why #horror is diverse." and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.375 |
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Assess the level of anger present in the following tweet: "You will never find someone who loved you like I did. And that my love, will be my revenge.". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.583 |
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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 emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: People always tell me that they don't expect me to have anxiety because I'm generally cheerful and don't act the way they expect me to.
Intensity class: | 0: neutral or mixed emotional state can be inferred |
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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: @schokokitsune As much as I always eat....so no. -w- \n\nBut I shake all the time, so eeeeh. Maybe I should go see a doctor 'cause of it .w.
Emotion: fear
Intensity class: | 2: moderate amount of fear can be inferred |
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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: @SEPTA 45 minutes late & counting! #horrible CTT Service sucks!
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Read the tweet "life is hard., its harder if ur stupid #life #love #sadness #sadderness #moreofsad #howdoestears #whatislife" and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness can be inferred |
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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: i will never watch greys anatomy ever ever ever ever ever again if Shonda Rimes takes away another OG character☹️☹️☹️☹️☹️☹️☹️☹️☹️☹️
This tweet contains emotions: | anger, disgust, sadness |
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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 think I must scare my coworkers when I'm eating like a rabid animal on my breaks #srry
Emotion: fear
Intensity score: | 0.583 |
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Assess the level of sadness present in the following tweet: "@rupindxr my heart actually sunk looooool I was so confused". Provide a real number between 0 and 1, with 0 representing the least intensity and 1 representing the highest intensity. | 0.625 |
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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: How could such a crooked,stuck up,delusional,dim& #dark hearted dud be surprised losing&prob also ppl won't let their crimes drop! #nwo imo
This tweet contains emotions: | anger, disgust, fear, sadness |
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Classify the emotions found in the tweet "@p0stcap I've still been trying to sort through it all, but I suppose I also shouldn't have had such high expectations. #sadness". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | pessimism, sadness |
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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: Everyday gay panic is STUNNING: I drew 1 guy's att'n to it when he blocked up a toilet stall's cracks w/paper towels. TOTAL INCOMPREHENSION.
Emotion: fear
Intensity score: | 0.562 |
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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: @TheRachelFisher i've seen a bunch of that on another twitter feed and I remember you had an opinion on it #shocking
Emotion: fear
Intensity score: | 0.479 |
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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: @CrystiCaro yeah agree - I think it was a family member and they covered up #sad
Emotion: sadness
Intensity class: | 3: high amount of sadness can be inferred |
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Analyze the tweet "Knowing I have my hair to wash and dry is like knowing you had that English close reading in your school bag to do" and quantify the intensity of the emotion fear. Use a scale from 0 to 1, with 1 representing the highest intensity. | 0.553 |
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Task: Quantify the intensity of emotion E in the tweet on a scale of 0 (least E) to 1 (most E).
Tweet: @ankitaverma45 @honey5991 rejoicing over someone's sadness is bad but when #Karma is cencerned then definitely some people deserve it..
Emotion: joy
Intensity score: | 0.229 |
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Please determine the intensity of the emotion anger in the tweet "Hey folks sorry if anything offensive got posted on here yesterday my account got hacked. All fixed now though. I hope :-/ #angry #annoyed". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.479 |
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Analyze the tweet "The 2nd step to beating #anxiety or #depression is realising that it's not about waiting for ...., Take action yourself now." to classify the intensity of the emotion sadness. Your options are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 1: low amount of sadness can be inferred |
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For the tweet "@WilsonsWorld I was in high school and remember helping neighbors clean up back home in Greenville. Pretty sobering stuff. #sadness" and the emotion sadness, determine the intensity level. Your answer should be a number between 0 and 1, where 1 is the highest possible intensity. | 0.688 |
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For the tweet "Gas prices are hilarious. Cause they're simultaneously super subsidised and taxed", identify the emotional state of the tweeter. Choose the most appropriate category: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | 0: neutral or mixed emotional state can be inferred |
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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: @Arsenal Giroud's beard is making me angry.
Emotion: anger
Intensity score: | 0.625 |
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For the tweet "It's a gloomy ass day", classify the intensity of the emotion sadness. The possible classifications are: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 3: high amount of sadness can be inferred |
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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: @SouthernRailUK delays from Streatham Cmn to Clap Junc & now train took 20 mins for 9 mins journey. Missed 2 trains to Reading #fuming
This tweet contains emotions: | anger |
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Assess the emotional intensity of sadness in the following tweet: "Seeing an old coworker and his wife mourn the loss of their 23 year old daughter was one of the saddest things I've ever seen 😢". Answer with a number between 0 (least intense) and 1 (most intense). | 0.833 |
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Consider the 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" and determine the tweeter's emotional state. Choose from: 3: very positive emotional state can be inferred, 2: moderately positive emotional state can be inferred, 1: slightly positive emotional state can be inferred, 0: neutral or mixed emotional state can be inferred, -1: slightly negative emotional state can be inferred, -2: moderately negative emotional state can be inferred, -3: very negative emotional state can be inferred. | -3: very negative emotional state can be inferred |
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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: @AlaskaGurus @adventuretweets agreed! 😍 an awe to meet such beautiful, powerful animals.
This tweet contains emotions: | joy, trust |
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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'm just doing what u should b doing just minding my business and grinding relentless @LITO615
This tweet contains emotions: | anger, disgust |
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Analyze the tweet "@Girlandlurchers Yep, peeps on here always out to cheer others up! I'm fine, drooling at GBBO x" and indicate which emotions from the list (anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust) are expressed. If no emotions are found, answer with "neutral or no emotion". | joy, optimism |
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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: @BartholomewD It's -terrible-! We're going to the local fish/chip place in Kirribilli #terrible
Emotion: fear
Intensity score: | 0.667 |
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Task: Determine the valence intensity of the tweeter's mental state on a scale of 0 (most negative) to 1 (most positive).
Tweet: @ArcadianLuthier -- taking out his feelings on Kei unfairly. His lips form a frown as he tries to walk away.
Intensity score: | 0.266 |
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Read the tweet "nooooo. Poor Blue Bell! not again." and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 2: moderate amount of sadness can be inferred |
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Determine the emotional tone of the following tweet: "I hate that a black lady is painting herself white on the internet for laughs and likes... #BadForm #DidntLaugh". Use the provided emotions: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. Respond with the emotions you identify or "neutral or no emotion". | anger, disgust, sadness |
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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: Unbelievable takes 10 minutes to get through to @BarclaysUK then there's a fault and the call hangs up #fuming #treatcustomersfairly
Emotion: anger
Intensity score: | 0.792 |
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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: @JohnRMoffitt This is the most grim piece of laughter I was stricken with all day.
Intensity score: | 0.844 |
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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: should I #start posting #photos?
Emotion: fear
Intensity score: | 0.146 |
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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: @AldiToHarrods I'm still too nervous to try it. I need to man up and give it ago.
Emotion: fear
Intensity score: | 0.750 |
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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: What we think, we become. -Buddha #recovery #addiction #sober #sobriety
This tweet contains emotions: | joy, optimism, trust |
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Classify the emotions found in the tweet "Can't believe @haven ring my parents NOW when they go tomorrow to say no disabled washing facility for my wheelchair bound dad #shocking". Select from the following: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If the tweet is emotionless, reply "neutral or no emotion". | disgust, surprise |
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Determine which emotions are present in the tweet "@KseniaSolo hi little late to lost girl but think you awesome from South Afrikaans:-)". Choose from anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotions are evident, state "neutral or no emotion". | joy, love, optimism |
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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: why yall hyped abt that girl getting to hang out w JB, he clearly looks so unhappy and bored in the pics no offense LOL, plus he hates yall
This tweet contains emotions: | anger, disgust |
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Your task is to measure the intensity of sadness in the tweet: "@GCC_DiscGolf lost my xt nova around hole 8 or 9 #sadness". Rate it on a scale from 0 (least intense) to 1 (most intense). | 0.708 |
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Task: Categorize the tweet into an ordinal class that best characterizes the tweeter's mental state, considering various degrees of positive and negative sentiment intensity. 3: very positive emotional state can be inferred. 2: moderately positive emotional state can be inferred. 1: slightly positive emotional state can be inferred. 0: neutral or mixed emotional state can be inferred. -1: slightly negative emotional state can be inferred. -2: moderately negative emotional state can be inferred. -3: very negative emotional state can be inferred.
Tweet: @TheSandraGal Glad to see that you're having fun in the sun. Water sports are always fun, challenging, and exhilarating. #happiness #beauty
Intensity class: | 3: very positive emotional state can be inferred |
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Task: Assign a numerical value between 0 (least E) and 1 (most E) to represent the intensity of emotion E expressed in the tweet.
Tweet: remember when glee did a take me or leave me cover but it was between two girls who werent even friends why did that do that
Emotion: joy
Intensity score: | 0.167 |
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Assess the emotional intensity of joy in the following tweet: "Each day is what you make of it! #goals #challenges #business #goals #success #photographer #photography #ThursdayThoughts". Answer with a number between 0 (least intense) and 1 (most intense). | 0.604 |
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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: @alisontis otherwise you're committing a crime against your soul only sober ppl know what is good or bad for themselves
Emotion: sadness
Intensity score: | 0.438 |
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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: Swear all of my guy friends are scaredy cats. You don't do horror movies. You don't do haunted houses. Wtf do you do then?
Emotion: fear
Intensity class: | 0: no fear can be inferred |
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Evaluate the valence intensity of the following tweet, considering the mood of the tweeter. Provide a score between 0 and 1, where 0 indicates very negative and 1 indicates very positive.
Tweet: This whole #VanRE + extradition might turn into a Pandora's box. JT has no idea about that murky corrupt guanxi in China; Toad vs Dada ;-) | 0.379 |
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Read the tweet "I'm getting use to not having a phone it's sad .." and determine the level of sadness present. Select from these options: 0: no sadness can be inferred, 1: low amount of sadness can be inferred, 2: moderate amount of sadness can be inferred, 3: high amount of sadness can be inferred. | 2: moderate amount of sadness can be inferred |
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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: @Myahrissavietta I'm cheery now 😘😉
This tweet contains emotions: | joy, love, optimism |
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For the tweet "Tiller and breezy should do a collab album. Rapping and singing prolly be fire", classify the emotional tone using the following list: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, trust. If no emotion is discernible, state "neutral or no emotion". | joy, love |
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For the tweet "I'm just always too shy", assess the intensity of the emotion fear. Choose one of the following: 0: no fear can be inferred, 1: low amount of fear can be inferred, 2: moderate amount of fear can be inferred, 3: high amount of fear can be inferred. | 1: low amount of fear can be inferred |
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Please determine the intensity of the emotion anger in the tweet "Now that I have my ex's number now its time to prank him. #revenge #prank #whatprankIshoulddo seriously what prank I should I do". Provide a score between 0 and 1, where 0 means very low intensity and 1 means very high intensity. | 0.500 |
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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: @space_gayz high fantasy , i feel like you could make a melancholy college age slice of life thing work too
Emotion: sadness
Intensity class: | 0: no sadness can be inferred |
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Based on the given tweet, determine the level of anger the author is experiencing. Choose from the following options: 0: no anger can be inferred, 1: low amount of anger can be inferred, 2: moderate amount of anger can be inferred, 3: high amount of anger can be inferred.
Tweet: @Sargon_of_Akkad It'll be like burning rap albums; they'll have to buy it first, but gosh darn it, they have to get rid of it. | 1: low amount of anger can be inferred |