Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews

Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews

This study aims to evaluate and compare the performance of three machine learning algorithms—Support Vector Machine (SVM), K-Nearest Neighbors (K-NN), and Naïve Bayes—for sentiment classification of user reviews on the NU Online application in the Google Play Store. NU Online is a religious digital...

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Bibliographic Details
Main Authors:	Heti Aprilianti, Khothibul Umam, Maya Rini Handayani
Format:	Article
Language:	English
Published:	Politeknik Negeri Batam 2025-06-01
Series:	Journal of Applied Informatics and Computing
Subjects:	sentiment analysis support vector machine (svm) nu online user reviews classification algorithms
Online Access:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9482
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