Applied Machine Learning | An Efficient Clustering Based Classification Model for OnlineProduct Reviews Using Support Vector Machines and K-means A

Vijayaragavan P

ISBN 10: 6208432111 / ISBN 13: 9786208432119

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Applied Machine Learning | An Efficient Clustering Based Classification Model for OnlineProduct Reviews Using Support Vector Machines and K-means A | Vijayaragavan P | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208432119 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Applied Machine Learning | An Efficient Clustering Based Classification Model for OnlineProduct Reviews Using Support Vector Machines and K-means A
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208432111
• ISBN 13: 9786208432119
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 274 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This study presents a hybrid model that leverages the strengths of K-means clustering and Support Vector Machines (SVM) for classifying online product reviews. K-means is used to group reviews into clusters, reducing data complexity and improving feature extraction. Subsequently, SVM is employed to classify the clustered data into positive, negative, or neutral sentiments. The combined approach enhances classification accuracy, reduces computational cost, and effectively handles large datasets. Experimental results demonstrate that the proposed model outperforms traditional standalone classifiers in terms of precision, recall, and overall accuracy.