The book describes a review of a new product recommender system that uses natural language processing (NLP) and text mining to analyze customer reviews. This system designed to enhance product recommendations processes reviews from platforms like Amazon and eBay to categorize and rank products based on user queries. It clusters products according to features mentioned in reviews and ranks them based on sentiment (positive or negative). The proposed system PR-CT was tested against existing systems using metrics such as Precision Recall F1 Score and Average Response Time and was found to perform better. However the abstract notes that more data and development are needed to improve the system''s efficiency.
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