📅 23 May 2024
DOI: 10.36499/jinrpl.v6i1.10273
Analisis Data Sentimen Ulasan Pengguna Aplikasi Shopee di Google Play Store dengan Klasifikasi Algoritma Naïve Bayes
Jurnal Informatika dan Rekayasa Perangkat Lunak
Universitas Wahid Hasyim
📄 Abstract
This research focuses on analyzing sentiment data from users of the Shopee e-commerce application using the Naïve Bayes Algorithm method. From 1000 datasets obtained from web scraping, reviews were analyzed to classify sentiment into positive or negative. With a ratio of 80% training data and 20% test data, the model developed achieved an accuracy of 95.5%. The classification results show precision 86.76%, recall 1%, and f1-score 92.91%. Even though the recall is low, the high accuracy shows that the model has good performance in predicting sentiment data. Recommendations can be provided to Shopee developers to improve customer satisfaction based on this sentiment data analysis.
🔖 Keywords
#Sentiment data analysis; Shopee application; Naïve Bayes algorithm
ℹ️ Informasi Publikasi
Tanggal Publikasi
23 May 2024
Volume / Nomor / Tahun
Volume 6, Nomor 1, Tahun 2024
📝 HOW TO CITE
Wartumi, Wartumi; Kurniawan, Rudi; Wijaya, Yudhistira Arie, "Analisis Data Sentimen Ulasan Pengguna Aplikasi Shopee di Google Play Store dengan Klasifikasi Algoritma Naïve Bayes," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 6, no. 1, May. 2024.
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