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Detector de tonos de tweets (Claude Prompt Sample)

    Detect the tone and sentiment behind tweets.

    Content
    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 sentiment should be classified as Positive, Negative, or Neutral. Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that influenced your decision.
    User
    Wow, I'm so impressed by the company's handling of this crisis. 🙄 They really have their priorities straight. #sarcasm #fail

    Example output

    Tone: Sarcastic
    Sentiment: Negative

    API request

    PythonTypeScript
    import anthropic
    
    client = anthropic.Anthropic(
        # defaults to os.environ.get("ANTHROPIC_API_KEY")
        api_key="my_api_key",
    )
    message = client.messages.create(
        model="claude-3-opus-20240229",
        max_tokens=1000,
        temperature=0,
        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 sentiment should be classified as Positive, Negative, or Neutral. Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that influenced your decision.",
        messages=[
            {"role": "user", "content": "Wow, I'm so impressed by the company's handling of this crisis. 🙄 They really have their priorities straight. #sarcasm #fail"}
        ]
    )
    print(message.content)
    import Anthropic from "@anthropic-ai/sdk";
    
    const anthropic = new Anthropic({
      apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
    });
    
    const msg = await anthropic.messages.create({
      model: "claude-3-opus-20240229",
      max_tokens: 1000,
      temperature: 0,
      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 sentiment should be classified as Positive, Negative, or Neutral. Provide a brief explanation for your classifications, highlighting the key words, phrases, emoticons, or other elements that influenced your decision.",
      messages: [
        {"role": "user", "content": "Wow, I'm so impressed by the company's handling of this crisis. 🙄 They really have their priorities straight. #sarcasm #fail"}
      ]
    });
    console.log(msg);

    Source: