Challenge Description

Sentiment analysis is a fundamental task in natural language processing, used to determine the emotional tone expressed in text. This challenge requires you to write a prompt that enables AI to accurately analyze the sentiment expressed in a text, providing the sentiment category and intensity.

Challenge Goals

Write a prompt that enables AI to:

1. Identify the sentiment (positive, negative, or neutral) in the text.
2. Determine the sentiment intensity (on a scale of 1-5, where 1 is weakest and 5 is strongest).
3. Extract keywords or phrases that express the sentiment.
4. Provide a brief explanation of the analysis (no more than 20 characters).

Requirements

• The analysis result must include sentiment, intensity, keywords, and a brief explanation.
• Sentiment can only be positive, negative, or neutral.
• Sentiment intensity must be an integer from 1 to 5.
• The analysis must be based on the text content, without subjective assumptions.
• The output format must be uniform and concise.

Prompt Template

[Your Prompt]

Text: {Text Content}

Automated Testing Process

1. For each test case, use your prompt as input.
2. Analyze whether the output includes:
   • Clearly identified sentiment (positive/negative/neutral).
   • An integer intensity rating from 1-5.
   • At least 3 keywords or phrases.
   • An explanation of no more than 20 characters.
3. Compare the output with expert-annotated standard answers.
4. Check for consistency in output format across different test cases.
5. Calculate the final score (out of 5 points).

Expected Output Example (for Case 1)

Sentiment Analysis Result:

  - Sentiment: Positive
  - Intensity: 4
  - Keywords/Phrases: "great value for money", "excellent screen display", "clear photos", "very satisfied with the purchase"
  - Brief Explanation: Pros clearly outweigh cons, generally satisfied.

Note: Although minor drawbacks like average battery life and slow charging were mentioned, positive reviews dominated, and overall satisfaction was expressed at the end.

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