Analisis Sentimen dan Topik Ulasan Aplikasi Komunitas Digital Gamer dengan SVM-LDA dan CRISP-DM Sentiment and Topic Analysis of Digital Community Application Gamer Reviews using SVM-LDA and CRISP-DM
Analisis Sentimen dan Topik Ulasan Aplikasi Komunitas Digital Gamer dengan SVM-LDA dan CRISP-DM Sentiment and Topic Analysis of Digital Community Application Gamer Reviews using SVM-LDA and CRISP-DM
Muhammad Mayda Ary Pratama,Dedy Kurniawan,Ahmad Rifaí,K. Tania
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TLDR
This study explores expressions of impatience through sentiment and topic analysis in Indonesian-language reviews collected from the Google Play Store by adopting the CRISP-DM framework.