To develop a product review mining system that analyzes customer feedback from e-commerce platforms to identify unmet needs, feature gaps, and emerging market opportunities. The project helps businesses improve product development strategies and gain competitive advantage through data-driven insights.
Collect product reviews dataset from public sources or sample datasets.
Clean and preprocess text data (remove noise, special characters).
Perform sentiment analysis to classify positive and negative reviews.
Identify frequently mentioned product features using keyword extraction.
Implement topic modeling (LDA) to discover common themes.
Compare review sentiment across competing products.
Detect recurring customer complaints and improvement suggestions.
Build visualization dashboards showing rating distribution trends.
Analyze correlation between ratings and product price.
Identify potential product improvement areas.
Generate business recommendations for new product features.
Document findings in a structured market opportunity report.
