NURHAYATI RAMBE, NPM 2109500167 (2025) ANALISIS SENTIMEN ULASAN PRODUK SUNCREEN WARDAH PADA MARKETPLACE SHOPEE MENGGUNAKAN METODE NAÏVE BAYES. Tugas_Akhir(Artikel) Journal of Computer Science and Information Systems (JCoInS), 6 (3). pp. 359-370. ISSN 2747-2221(e-ISSN)
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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. Keywords : Sentiment Analysis, Naïve Bayes,Sunscreen Wardah, Shopee
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sentiment Analysis, Naïve Bayes,Sunscreen Wardah, Shopee |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
| Divisions: | Fakultas Sains Dan Teknologi > Sistem Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 04 Aug 2026 07:32 |
| Last Modified: | 04 Aug 2026 07:32 |
| URI: | http://repository.ulb.ac.id/id/eprint/2630 |
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