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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...

詳細記述

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主要な著者: Wava Lativa Azzahra, Jamaludin Indra, Rahmat Rahmat, Sutan Faisal
フォーマット: Artigo
言語:Inglês
出版事項: Politeknik Negeri Batam 2025-06-01
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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