Journal of Computer Science and Information Systems (JCoInS)
Vol 6, No 3: JCoInS | 2025

Analisis Sentimen Ulasan Produk Suncreen Wardah Pada Marketplace Shopee Menggunakan Metode Naïve Bayes

Rambe, Nurhayati (Unknown)
Harahap, Syaiful Zuhri (Unknown)
Ritonga, Ali Akbar (Unknown)
Bangun, Budianto (Unknown)

Article Info

Publish Date
25 Aug 2025

Abstract

The development of the digital world and the popularity of online marketplaces such as Shopee have changed the way consumers interact and review products. Reviews of Wardah sunscreen products, which have an important role in skin health, are one of the most widely found. Understanding the sentiment of these reviews is crucial for manufacturers to improve product quality. Therefore, this study aims to analyze and classify consumer sentiment towards Wardah sunscreen products on Shopee. Using the Naïve Bayes classification method, the reviews will be categorized into positive, negative, and neutral sentiments to get an overall picture of the public perception of the product.

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Journal Info
Journal of Computer Science and Information Systems (JCoInS)
Website

Abbrev

JCoInS

Publisher

Universitas Labuhanbatu

Subject

Computer Science & IT

Description

Journal of Computer Science and Information Systems (JCoInS) - Journal of the Information Systems Study Program seeks to facilitate critical study and in-depth analysis of information system problems, this journal is an expert computer science scientist, information system scientist. e-ISSN : ...