📅 12 July 2024
DOI: 10.51903/elkom.v17i1.1680
Analisis Sentimen Pada Ulasan Produk Dengan Metode Natural Language Processing (NLP) : (Studi Kasus Zalika Store 88 Shopee)
Jurnal Elektronika dan Komputer
Universitas Sains dan Teknologi Komputer
📄 Abstract
n today's digital era, customer reviews play a crucial role in purchasing decisions, but the large volume of reviews makes manual analysis difficult. Thus, a fast and accurate sentiment analysis method using Natural Language Processing (NLP) is needed. This research aims to analyze product reviews for the ZALIKA STORE 88 on Shopee using NLP. It involves preprocessing reviews, applying NLP techniques like tokenization, stemming, and lexical analysis, and automatically classifying sentiments. The analysis of ZALIKA STORE 88's reviews reveals mostly positive sentiments, with some negative and neutral reviews. The sentiment analysis achieved an 87% accuracy rate. This research is intended to help ZALIKA STORE 88 make informed decisions based on customer reviews.
🔖 Keywords
#Sentiment analysis; Product reviews; Online marketplace; Natural Language Processing (NLP); E-commerce
ℹ️ Informasi Publikasi
Tanggal Publikasi
12 July 2024
Volume / Nomor / Tahun
Volume 17, Nomor 1, Tahun 2024
📝 HOW TO CITE
Rizal Chandra Rivaldi; Rizal Chandra Rivaldi; T.D. Wismarini, "Analisis Sentimen Pada Ulasan Produk Dengan Metode Natural Language Processing (NLP) : (Studi Kasus Zalika Store 88 Shopee)," Jurnal Elektronika dan Komputer, vol. 17, no. 1, Jul. 2024.
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