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All Journal Journal of Information Systems and Informatics
Pala'langan, Elsa Bura
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Computer Science & IT

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Sentiment Analysis on Shopee Product Reviews Using IndoBERT Aras, Suhardi; Yusuf, Muhammad; Ruimassa, Reinhard Yohanis; Wambrauw, Elli Agustinus Billi; Pala'langan, Elsa Bura
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.814

Abstract

A marketplace is a place in cyberspace where there are commercial activities between buyers and sellers. Products offered from the marketplace have reviews to review. Shopee is the most visited marketplace by people and offers various products. Product reviews can provide benefits for other consumers in assessing the products offered. By utilizing NLP technology in particular, this study can classify positive sentiment and negative sentiment in product review data. The IndoBERT model is a model that can be used in NLP technology by utilizing the relationship between each input and output element as well as the weights to be calculated simultaneously. By utilizing this technology, sentiment analysis on Shopee product reviews provides maximum accuracy until 93% with different training conditions. This provide that IndoBERT model can show that the performance of the indoBERT model in this research is very good.
Co-Authors Aras, Suhardi Muhammad Yusuf Ruimassa, Reinhard Yohanis Wambrauw, Elli Agustinus Billi