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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Batam
2025-06-01
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| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9482 |
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