<ul><li>This project applies advanced Natural Language Processing (NLP) techniques to analyze customer sentiment in e-commerce product reviews.</li><li>The system creates a much improved recommendation engine that goes beyond traditional rating systems.</li><li>The project compares two leading sentiment analysis approaches—RoBERTa and VADER—to determine their accuracy and understanding of customer opinions.</li><li>The sentiment-enhanced recommendation system can help e-commerce platforms improve customer satisfaction and increase conversion rates.</li></ul>

Sentiment-Enhanced Product Recommendation System for E-Commerce

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