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All Journal Media Ekonomi dan Manajemen Martabe : Jurnal Pengabdian Kepada Masyarakat Community Development Journal International Journal Of Science, Technology & Management (IJSTM) Formosa Journal of Computer and Information Science Indonesian Journal of Cosmetics
Noviantoro, Tri
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Journal : Formosa Journal of Computer and Information Science

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Comparative Study of Machine Learning Models for Sentiment Analysis of Amazon Product Reviews Noviantoro, Tri; Suryaneta, Suryaneta
Formosa Journal of Computer and Information Science Vol. 5 No. 1 (2026): March 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v5i1.16389

Abstract

This research presents a comparative analysis of four popular sentiment classification models: Naive Bayes, Support Vector Machine (SVM), Long Short-Term Memory (LSTM) networks, and Bidirectional Encoder Representations from Transformers (BERT). The models are evaluated using the Amazon Product Reviews dataset based on their ability to classify sentiments into positive or negative categories. The results show that BERT outperforms the other models in accuracy, precision, recall, and F1-score, demonstrating its superior ability to capture complex contextual relationships in text. LSTM performed well, particularly in recalling positive sentiments, but was outperformed by BERT overall. Conversely, Naive Bayes and SVM exhibited lower accuracy and higher false positive rates, highlighting their limitations in handling nuanced, context-dependent text. This study emphasizes the trade-offs between traditional machine learning models and advanced deep learning techniques.
Co-Authors Agna Talitha, Zada Ambarita, Petrus Alvin Peter Ananda Nieyan, Putri Andhyka Tyaz Nugraha Angga Saputra Yasir Anis Azizah Arianti, Annisa Rahma Ayu Swandari, Nimas Azzahra Mahardika, Aurellia Christy, Nisa Novia Avien Muhtar, Wafiq Azizah Muslim, M.Raihan Huzhaifi Nasira, Illyyin Rahmadani, Sinta Rahmadini, Sabili Raufida, Nila Safitri, Deviana Septiya Dewi, Kadek Sholeha, Aida Febina Sri Hidayati Suryaneta