@article{ART003176641},
author={Ji-Eun Kim and Young-Suk Chung and Seong-Hyun Park},
title={A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={2},
pages={83-89}
TY - JOUR
AU - Ji-Eun Kim
AU - Young-Suk Chung
AU - Seong-Hyun Park
TI - A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 2
PB - The Korean Society Of Computer And Information
SP - 83
EP - 89
SN - 1598-849X
AB - As mask wearing has become commonplace during the COVID-19 pandemic, skin problems such as "maskne" have occurred. The demand for basic cosmetics and skincare products has increased due to problems such as increased temperature and humidity inside the mask, and accumulation of waste, sebum, and dead skin cells. However, the number of consumers who have difficulty purchasing cosmetics due to the large number of types of basic cosmetics has begun to increase. To help consumers in these difficulties, this paper analyzed the matching rate between product reviews and product details pages on basic cosmetics sites. By analyzing data collected through crawling and text mining techniques, we investigated the consistency between actual consumer experience and product information provided by manufacturers. According to the analysis, the high matching rate between the two information was confirmed with 94.21% oily skin, 90.35% dry skin, 97.68% complex, 95.37% dry skin, 99.24% sensitive skin, 94.17% sensitive skin, 90.01% calming, 85.79% moisturizing, 89.26% moisturizing, 98.07% oil oil, 82.42% water, 92.66% repurchase, and 94.21% recommended. This means that the manufacturer is accurately promoting the effectiveness of the product, indicating that consumers are actually experiencing the expected results after purchasing the product.
KW - Cosmeties;Web Crawling;Text Mining;Review;Selenium
DO -
UR -
ER -
Ji-Eun Kim, Young-Suk Chung and Seong-Hyun Park. (2025). A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining. Journal of The Korea Society of Computer and Information, 30(2), 83-89.
Ji-Eun Kim, Young-Suk Chung and Seong-Hyun Park. 2025, "A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining", Journal of The Korea Society of Computer and Information, vol.30, no.2 pp.83-89.
Ji-Eun Kim, Young-Suk Chung, Seong-Hyun Park "A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining" Journal of The Korea Society of Computer and Information 30.2 pp.83-89 (2025) : 83.
Ji-Eun Kim, Young-Suk Chung, Seong-Hyun Park. A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining. 2025; 30(2), 83-89.
Ji-Eun Kim, Young-Suk Chung and Seong-Hyun Park. "A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 83-89.
Ji-Eun Kim; Young-Suk Chung; Seong-Hyun Park. A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining. Journal of The Korea Society of Computer and Information, 30(2), 83-89.
Ji-Eun Kim; Young-Suk Chung; Seong-Hyun Park. A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining. Journal of The Korea Society of Computer and Information. 2025; 30(2) 83-89.
Ji-Eun Kim, Young-Suk Chung, Seong-Hyun Park. A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining. 2025; 30(2), 83-89.
Ji-Eun Kim, Young-Suk Chung and Seong-Hyun Park. "A Study on the Matching Rate of Basic Care Products and Reviews through Text Mining" Journal of The Korea Society of Computer and Information 30, no.2 (2025) : 83-89.
