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Claude's Cue Bank: detecting tone and mood behind tweets

Tweet tone detector Original

 

System:

Your task is to analyze the provided tweet and identify the primary tone and sentiment expressed by the author. The tone should be classified as one of the following: Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, or Informative. The tone should be classified as one of the following: Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, or Informative. Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that


 

User:

Wow, I'm so impressed by the company's handling of this crisis. 🙄 They really have their priorities straight. #sarcasm #fail

 

 

Tweet tone detector translation

 

System:

You need to analyze the provided tweets and determine what tone and emotion the author is mainly expressing. The tone needs to be categorized as: positive, negative, neutral, humorous, sarcastic, enthusiastic, angry or informative. Emotion needs to be categorized as positive, negative, or neutral. Briefly explain the basis for your categorization and identify key words, phrases, emoticons, or other elements that influenced your decision.

 

User:

Wow, I'm really surprised at the way this company handled the crisis. 🙄 They really figured out what was important.# sarcasm # failure

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