Prompt

"Conduct a sentiment analysis on the following set of customer reviews for a new product. Provide a summary of the overall sentiment, categorize each review, and identify key themes mentioned."

Example Input

1. "I love the new features! The interface is very user-friendly and intuitive."
2. "The product is okay, but it didn't meet my expectations. It's too slow."
3. "I'm very disappointed. The quality is poor, and it stopped working after a week."
4. "Great value for money. I'm happy with my purchase."
5. "Terrible customer service. I won't be buying from this company again."

Example Output

Sentiment Analysis Summary

• Positive: 2 reviews (40%)
• Neutral: 1 review (20%)
• Negative: 2 reviews (40%)

Categorized Reviews

1. Positive: "I love the new features! The interface is very user-friendly and intuitive."
   • Key Themes: New features, user-friendly interface
2. Neutral: "The product is okay, but it didn't meet my expectations. It's too slow."
   • Key Themes: Expectations, speed
3. Negative: "I'm very disappointed. The quality is poor, and it stopped working after a week."
   • Key Themes: Quality, durability
4. Positive: "Great value for money. I'm happy with my purchase."
   • Key Themes: Value for money, satisfaction
5. Negative: "Terrible customer service. I won't be buying from this company again."
   • Key Themes: Customer service

Key Themes Identified

1. Positive Themes:
   • New features
   • User-friendly interface
   • Value for money
   • Satisfaction
2. Negative Themes:
   • Quality issues
   • Durability problems
   • Slow performance
   • Poor customer service

Usage Tips

• Use sentiment analysis tools like VADER or TextBlob for automatic sentiment detection.
• Summarize the overall sentiment to provide a clear picture of customer satisfaction.
• Categorize each review and extract key themes to identify common issues and positive aspects.
• Use the insights gained to inform product improvements and customer service strategies.