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.
En iyi istemlerinizi sohbet geçmişlerinde kaybetmeyin. Marqly uzantısıyla ChatGPT, Claude ve Gemini'deki istemleri doğrudan kaydedin, etiketleyin ve Pro anlamsal aramayla hemen bulun.
Tek tıkla istem kaydetme · Tüm kütüphanenizde Pro anlamsal arama · Yapay zeka sohbetlerini nasıl kaydedeceğinizi ve istemlerinizi kaynaklarınızın yanında nasıl tutacağınızı öğrenin.
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.
Sıkça sorulan sorular
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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