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

P, Vijayaragavan

 
9786208432119: Applied Machine Learning: An Efficient Clustering Based Classification Model for OnlineProduct Reviews Using Support Vector Machines and K-means A
Brossura
ISBN 10: 6208432111 ISBN 13: 9786208432119
Casa editrice: LAP LAMBERT Academic Publishing, 2025

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2025
Lingua
Inglese
ISBN 10 
6208432111
ISBN 13 
9786208432119
Rilegatura
Copertina flessibile
Numero di pagine
172
Contatto del produttore
non disponibile
Persona responsabile
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Germania