한국응용과학기술학회 논문 검색
.jpg)
Trend Analysis of Skincare Products for Pregnant Women Using Textmining
간행물 정보 : Vol. 42 No. 1, 2025년,
파일형식 : pdf

1. S. Y. Park. P&K Showcases 'Big DataBasedProduct Planning' at the Expo[Ienternet]. Beautynury[cited 2024 August 7], Available From:
https://www.beautynury.com/news/view/105447/cat/10. (accessed Sep., 15, 2024).
2. Y. O. Shin, “Beauty Caster App.(A application on Customer Satisfaction usingBig Data”, The Korea Society of Computer and Information, Vol.22, no.1 pp. 457-460, (2014). UCI(KEPA) : I410-ECN-0101- 2016-325-001990017.
3. K. I. Kim. “A Study on the Big Data Analysis Model Available at Small andMedium Sized Beauty Markets," The Treatise on The Plastic Media, Vol.21,
No.3 pp. 111-117, (2018). UCI(KEPA) : I410-ECN-0101-2022-658-001584921.
4. S. N. Kim. “Analysis of Research Trends Related to Beauty and Beauty in the Era of COVID-19 using Big Data Analysis," Journal of Beauty Arts Management, Vol. 17, No. 4 pp. 1-14, (2023). DOI : https://doi.org/10.22649/JBAM.2023.17.4.1
5. E. Choi, M. J. Lee, S. Y. Seo. “Prediction of K-Beauty Industry Trends Using BigData," Journal of the Korean Society of Beauty, Vol.28, No.6 pp. 1373-1382,
(2022). DOI : https://doi.org/10.52660/JKSC.2022.28.6.1373
6. H. H. Kim, J. R. Cho. “A Study on Intelligent Skin Image Identification From Social Media Big Data," Journal of Korean Society for Computer and Information, Vol.27, No.9 pp. 191-203, (2022). DOI : https://doi.org/10.9708/jksci.2022.27.09.191
7. S. I. Hwang, J. B. Park. “A Big Data Analysis of Domestic Media Articles on the'Hallyu' Trend," Journal of the Korea Entertainment Industry Association, Vol. 14,
No.5 pp. 1-14, (2020). DOI : https://doi.org/10.21184/jkeia.2020.7.14.5.1.
8. M. R. Park, J. Y. Park. Analysis of Beauty Device Research Trends Using Unstructured Big Data: 2004∼2023 Focusing on the Amount of Keyword Change in Academic Journals, Journal of Health and Beauty, Vol.18, No.3 pp. 115-125, (2024). DOI : https://doi.org/10.35131/ishb.2024.18.3.115.
9. J. M. Lee, J. H. Bang. “A Case Study on the Development of New Brand Concept Vol. 42 No. 1 (2025) Trend Analysis of Skincare Products for Pregnant Women Using Textmining 9through Big Data Analysis for A Cosmetics Company," Knowledge Management Research, Vol.21, No.3 pp. 215-228, (2020). DOI : https://doi.org/10.15813/kmr.2020.21.3.012
10. K. Y. Kyung. Cosmax Collaborates with Harvard University to Develop FutureCosmetic Technologies[Ienternet]. Edaily [cited 2024 September 7], Available From:
https://www.edaily.co.kr/News/Read?newsId=02033606639023072. (accessed Sep.10, 2024).
11. J. Y. Park. Discovering Natural Ingredients for K-Beauty Leading Cosmetics Through Patent Big Data Analysis[Ienternet]. Dong-A Science[cited 2024 January 17], Available From:https://www.dongascience.com/news.php?idx=63387. (accessed Sep., 15, 2024).
12. H. G. Kim, H. Y. Kwon, S. H. Jeong. “Trend Analysis on Clothing Care Systemof Consumer from Big Data," Fashion & Textile Research Journal, Vol.22, No. 5 pp.
641-642, (2020). https://doi.org/10.5805/SFTI.2020.22.5.639.
13. Y. K. Hahm, S. J. Lee, “The Distinctivenessof Big Data Business Model in ItsComponents: A Comparative Analysis of Korea-US Cosmetic Big Data Business
Cases," The Journal of Information Technology and Architecture, Vol.13, No.1pp. 63-75, (2016). UCI : G704-SER0000 10357.2016.13.1.010.
14. S. H. Hwang, D. Y. Ku, J. K. Kim, “Case Study of Utilizing Social Big Data inFunctional Cosmetics Marketing," Journal of Digital Convergence, Vol.17, No.7 pp.
35-41, (2019). DOI : https://doi.org/10.14400/JDC.2019.17.7.035.
15. K. O. Kim. “Effect of Smart Beauty Service Use Experience in the 4thIndustrial Revolution Era on Consumer Emotional Response and Acceptance
Intention" Journal of Beauty Art Management, Vol.16, No.2 pp. 1-15,(2022). DOI : https://doi.org/10.22649/JBAM.2022.16.2.1.
16. S. D. Park. "A Preliminary Study on State Responsibility for Establishment andProtection of Information and TelecommunicationInfrastructure in COVID19
Pandemic," Journal of Digital Convergence, Vol.18, No.8 pp. 49-54,(2020). DOI : https://doi.org/10.14400/JDC.2020.18.8.049.
17. Borgatti, S. P., Halgin, D. Analyzing affiliation networks. pp. 417-433, TheSage Handbook, (2011). DOI: https://doi.org/10.4135/9781446294413.n28.
18. J. H. Jeong, J. W. Kim. Collaborative filtering techniques using social networkanalysis for UCC recommendation. Korean Institute of Information Technology,
Vol.11, No.1 pp. 185-195, (2013). UCI : G704-001947.2013.11.1.012.
19. S. Y. Kwon, J. S. Park, J. R. Lee. Research trends of parenting stress inKorean Academic Journals: A semantic network analysis. Journal of Korean
Home Management Association, Vol.36, No.4 pp. 57-72, (2018). DOI : https://doi.org/10.7466/JKHMA.2018.36.4.57.