None Amalia Nur Soliha, None Tb Ai Munandar, None Muhammad Yasir
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引用次数: 0
摘要
金融系统发展的特点是数字银行服务应用程序的出现，这些应用程序广泛流通，可以免费访问。应用程序如此之多，用户在选择哪些应用程序可以安全使用时常常感到困惑。在Google Play Store下载应用之前，用户通常会先查看应用的评分和评论。然而，如果只从评分和下载量来看，最佳应用的头衔是无法确定的。本研究使用NBC (Naïve贝叶斯分类器)方法分析了Google Play商店中数字银行服务应用程序的用户评论情绪。使用NBC算法的研究在Allo Bank评论分类上的准确率为81%，在Line Bank评论分类上的准确率为78%
Sentiment Analysis of the Use of Digital Banking Service Applications On Google Play Store Reviews Using Naïve Bayes Method
The development of the financial system is characterized by the emergence of digital banking service applications that are widely circulated and can be accessed for free. With so many applications, users often feel confused in choosing which applications are safe to use. Before downloading an application on the Google Play Store, users will usually look at ratings and reviews first. However, the title of the best application cannot be pinned if only seen from the rating and number of downloads. This research was conducted to analyze sentiment on user reviews of digital banking service applications on the Google Play Store using the NBC (Naïve Bayes Classifier) method. Research using the NBC algorithm produced an accuracy value of 81% on the classification of Allo Bank reviews and 78% on the classification of Line Bank reviews
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