Sentiment Analysis on WeTV Application Reviews Using Naïve Bayes: A Study of Preprocessing, Balancing, and Model Performance
This study investigates the application of the Naïve Bayes classification algorithm for sentiment analysis of user-generated reviews on the WeTV application available on the Google Play Store. A structured methodology was employed, consisting of data scraping, sentiment labeling based on heuristics,...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Program Studi Sistem Informasi, Universitas Islam Negeri Raden Fatah Palembang
2025-06-01
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| シリーズ: | Jurnal Sistem Informasi |
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| オンライン･アクセス: | https://jurnal.radenfatah.ac.id/index.php/jusifo/article/view/27925 |
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