Customer Review Sentiment Analysis Prompt
Classify reviews by sentiment, extract themes, and surface actionable insights.
Analyze the sentiment of the following [number] customer reviews for [product/service]. Reviews: [paste reviews] Return: 1. Sentiment distribution (% positive, neutral, negative) 2. Top 10 positive themes and keywords 3. Top 10 negative themes and keywords 4. Most mentioned features 5. 3-5 actionable recommendations for product or marketing Use a scale of -5 (very negative) to +5 (very positive) where relevant.
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How to use this prompt
Paste anonymized data samples and clearly state the decisions the analysis should inform. Always validate numeric outputs.
- Copy the full prompt above.
- Replace the bracketed placeholders with your own details.
- Paste it into chatgpt, claude, gemini (or your preferred AI tool).
- Iterate on the output: add constraints, ask follow-ups, or combine multiple results.
Why this prompt works
It gives the AI a clear role, specific inputs, and an output format. That structure reduces vague responses and gives you a draft you can refine in minutes instead of hours.
Często zadawane pytania
How many reviews do I need?
Even 20-30 reviews can reveal themes; larger samples improve confidence.
Can AI detect sarcasm?
Sometimes. Cross-check flagged examples manually, especially for short reviews.
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