Sentiment Analysis of User Reviews of the AdaKami Online Loan App from the App Store Using SVM and Naive Bayes
This study aims to classify sentiments on user reviews of the AdaKami online loan application, which are obtained through web scraping techniques from the Apple App Store platform. A total of 2000 reviews were collected, then selected and 1000 reviews were selected to be manually labeled by two ling...
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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: |
Politeknik Negeri Batam
2025-06-01
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| シリーズ: | Journal of Applied Informatics and Computing |
| 主題: | |
| オンライン・アクセス: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9536 |
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