![]() |
Prediction of K-Beauty Industry Trend Using Big Data
Esther Choi, Myoung-Joo Lee, Su-Yeon Seo
J Korean Soc Cosmetol. 2022;28(6):1373-1382. Published online 2022 Dec 29 DOI: https://doi.org/10.52660/JKSC.2022.28.6.1373
|
Citations to this article as recorded by
Trend Analysis on the Domestic Beauty Industry Using Topic Modeling Techniques
Si-Won Kim, Seo-Woo Jeon, Myung-Suk Na
Journal of the Korean Society of Cosmetology.2025; 31(1): 1. CrossRef A Study on the Make-up Trends using Unstructured Big Data: Focusing on Make-up Keyword Changes in the Last 10 Years
Myoung-Joo Lee, Esther Choi
Journal of the Korean Society of Cosmetology.2024; 30(1): 86. CrossRef The Effect of Perceived Usefulness and Ease of Use through Platform Business on the Relationship between Consumption Value and Purchase Intention in the K-Beauty Industry
Gye-Soo Kim, Chae-Jeong Han
Journal of the Korean Society of Cosmetology.2024; 30(3): 499. CrossRef Unstructured Data Analysis Research for Vegan Beauty Trends and Consumer Awareness Survey
Myoung-Joo Lee, Gyu-Tae Lee, Esther Choi
Journal of the Korean Society of Cosmetology.2024; 30(3): 461. CrossRef
|