Browse > Article
http://dx.doi.org/10.9708/jksci.2022.27.12.111

A study on the perception of 3D virtual fashion before and after COVID-19 using textmining  

Cho, Hyun-Jin (Major in Fashion Marketing, Keimyung University)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.12, 2022 , pp. 111-119 More about this Journal
Abstract
The purpose of this paper is to examine the change in perception of 3D virtual fashion before and after COVID-19 using big data analysis. The data collection period is from January 1, 2017, before the outbreak of COVID-19, to October 30, 2022, after the outbreak. Big data was collected for key words related to 3D virtual fashion extracted from social media such as Naver, Daum, Google, and YouTube using Textom. After the collected words were refined, word cloud, word frequency, connection centrality, network visualization, and CONCOR analysis were performed. As a result of extracting and analyzing 32,461 words with 3D virtual fashion as a keyword, the frequency and centrality of fashion, virtual, and technology appeared the highest, and the frequency of appearance of digital, design, clothing, utilization, and manufacturing was also high. Through this, it was found that 3D virtual fashion is being used throughout the industry along with the development of technology. In particular, the key words that stand out the most after COVID-19 are metaverse and 3D education, which are in high demand in the fashion industry.
Keywords
Big data; COVID-19; 3D virtual fashion; Metaverse; Education;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 J. Kim, "Fashion industry changed by corona", Korea Federation of Textile Industries, pp. 4-5, 2020.
2 A new virtual fashion show world is opened when digital trend fashion and metaverse meet, http://projectnftbus.tistory.com/143
3 S. Lee, "FIND," Korea Federation of Textile Industries, p. 4, 2020.
4 Utilization of big data for fashion companies, http://www.fi.co.kr/mobile/view.asp?idx=68281
5 S. Lee, "FIND," Korea Federation of Textile Industries, p. 3, 2022.
6 Deloitte's 'Metaverse Report', https://www.kbdio.com/429
7 E. Song, "A Study on the Perception of Fashion Platforms and Fashion Smart Factoriesusing Big Data Analysis," Fashion & Textile Research Journal, Vol. 23, No. 6, pp. 799-809, December 2021. DOI: 10.5805/SFTI.2021.23.6.799   DOI
8 J. Kim, "Fashion Industry Digital Professional Talent Cultivation Plan", Korea Federation of Textile Industries, pp. 1-2, 2019.
9 Utilization of big data for fashion companies, http://www.fi.co.kr/mobile/view.asp?idx=68281
10 S. Kim, "A Study on the Development of Fashion Design through the Convergence of Digital Technology - Focusing on Big Data and 3D Virtual Clothing Program -," Journal of Cultural Product & Design, Vol. 62, No. -, pp. 285-297, September 2020. DOI: 10.18555/kicd.2020.62.26   DOI
11 E. Song, and H. Lim, "Perceptions and Trends of Digital Fashion Technology - A Big Data Analysis -," Fashion & Textile Research Journal, Vol. 23, No. 3, pp. 380-389, June 2021. DOI: 10.5805/SFTI.2021.23.3.380   DOI
12 E. Kang, "An Analysis of Changes in Perception of Fashion Rental Service before and after COVID-19 through Big Data," Journal of the Korean Society of Design Culture, Vol. 28, No. 1, pp. 799-809, March 2022. DOI: 10.18208/ksdc.2022.28.1.1   DOI
13 J. Seon, H. Jung, and J. Lee, "Changes in Street Fashion Networks Using Social Big Data - Time-Series Approach to Public Attention and Cluster Attributes -," Journal of the Korean Society of Costume, Vol. 71, No. 3, pp. 124-142, June 2021. DOI: 10.7233/jksc.2021.71.3.124   DOI
14 K. Sung, "Social media big data analysis of Z-generation fashion," Journal of the Korea Fashion & Costume Design, Vol. 22, No. 3, pp. 49-62, August 2020. DOI: 10.30751/kfcda.2020.22.3.49   DOI
15 B. Sen, H. Yum, and S. Shim, "Fashion Consumption Culture in the Post-COVID-19 Era Identified through Big Data Analysis -Focusing on Articles in the Chinese Fashion Network LADYMAX.cn-," Journal of Fashion Business, Vol. 25, No. 2, pp. 80-97, May 2021. DOI: 10.12940/jfb.2021.25.2.80   DOI
16 Y. Cho, "A study on perception of 3D printing fashion using big data analysis," The Korean Society of Science & Art, Vol. 38, No. 1, pp. 271-283, January 2020. DOI: 10.17548/ksaf.2020.01.30.271   DOI
17 D. Kim, and J. Kim, "Comparative Analysis in Perception on Men's Fashion Using Big Data : Focused on Influence of COVID-19," Journal of the Korea Fashion & Costume Design, Vol. 24, No. 3, pp. 1-15, August 2022. DOI: 10.30751/kfcda