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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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Data Mining: Product Recommendation Systems Based on Customer Reviews Using Text Mining
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Data Mining: Product Recommendation Systems Based on Customer Reviews Using Text Mining
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ISBN 10: 6208117666
ISBN 13: 9786208117665
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Data Mining
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Data Mining
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ISBN 10: 6208117666
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Data Mining : Product Recommendation Systems Based on Customer Reviews Using Text Mining
Editore:
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9786208117665
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Data Mining: Product Recommendation Systems Based on Customer Reviews Using Text Mining
Editore:
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Data Mining: Product Recommendation Systems Based on Customer Reviews Using Text Mining
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LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Data Mining: Product Recommendation Systems Based on Customer Reviews Using Text Mining
Editore:
LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Data Mining (Paperback)
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ISBN 10: 6208117666
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Da: AussieBookSeller, Truganina, VIC, Australia
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Paperback. Condizione: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9786208117665
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Data Mining (Paperback)
Editore:
LAP Lambert Academic Publishing, 2024
ISBN 10: 6208117666
ISBN 13: 9786208117665
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Da: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786208117665
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