DOI QR코드

DOI QR Code

A Study on the Characteristics of Amekaji Fashion Trends Using Big Data Text Mining Analysis

빅데이터 텍스트 마이닝 분석을 활용한 아메카지 패션 트렌드 특징 고찰

  • Kim, Gihyung (Dept. of Fashion Design, Youngsan University)
  • 김지형 (영산대학교 패션디자인학과)
  • Received : 2022.07.11
  • Accepted : 2022.07.25
  • Published : 2022.07.30

Abstract

The purpose of this study is to identify the characteristics of domestic American casual fashion trends using big data text mining analysis. 108,524 posts and 2,038,999 extracted keywords from Naver and Daum related to American casual fashion in the past 5 years were collected and refined by the Textom program, and frequency analysis, word cloud, N-gram, centrality analysis, and CONCOR analysis were performed. The frequency analysis, 'vintage', 'style', 'daily look', 'coordination', 'workwear', 'men's wear' appeared as the main keywords. The main nationality of the representative brands was Japanese, followed by American, Korean, and others. As a result of the CONCOR analysis, four clusters were derived: "general American casual trend", "vintage taste", "direct sales mania", and "American styling". This study results showed that Japanese American casual clothes are influenced by American casual clothes, and American casual fashion in Korea, which has been reinterpreted, is completed with various coordination and creative styles such as workwear, street, military, classic, etc., focusing on items and brands. Looks were worn and shared on social networks, and the existence of an active consumer group and market potential to obtain genuine products, ranging from second-hand transactions for limited edition vintages to individual transactions were also confirmed. The significance of this study is that it presented the characteristics of American casual fashion trends academically based on online text data that the public actually uses because it has been spread by the public.

Keywords

Acknowledgement

이 논문은 2021학년도 영산대학교 교내연구비의 지원에의하여 이루어진것임

References

  1. Ahn, J. (2019, December 16). Instagram, the most followed hashtag in Korea this year is '#Gongstagram'. Global Economy Daily. Retrieved January 26, 2022, from www.getenews.co.kr
  2. Amekaji look. (2019). Dictionary of current affairs. Retrieved January 4, 2022 from https://terms.naver.com/entry.naver?docId=5764034&cid=43667&categoryId=43667
  3. Analysis module. (2017). Textom. Retrieved January 2, 2022, from https://textom.co.kr/home/bbs/view.php?id=notice&page_num=15&page=1&no=39
  4. Bae, J. (2020). 4차 산업혁명과 스마트 비즈니스 [4th industrial revolution and smart business]. Seoul: Parkyoungsa.
  5. Choi, Y., & Lee, K. (2021). Changes in consumer perception of one mile-wear and home wear: The impact of Covid-19 outbreak. Journal of Fashion Business, 25(2), 110-126. doi:10.12940/jfb.2021.25.2.110
  6. Data, data everywhere. (2010, February 27). The Economist, pp. 4-6.
  7. De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of big data based on its essential features. Library Review, 65(3), 122-135. doi:10.1108/LR-06-2015-0061
  8. Dijcks, J. (2011). Oracle: Big data for the enterprise. Oracle. Retrieved December 8, 2021, from https://www.oracle.com/technetwork/database/bi-datawarehousing/wp-big-data-with-oracle-521209.pdf
  9. Fenn, J. (2010). Hype cycle for emerging technologies, 2010. Gartner. Retrieved January 2, 2022, from www.gartner.com
  10. Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. doi:10.1016/j.ijinfomgt.2014.10.007
  11. Gwak, H., & Lee, K. (2021). Consumer perception of types of fashion live commerce: Using text mining. Journal of Fashion Business, 25(3), 90-107. doi:10.12940/jfb.2021.25.3.90
  12. Ha, J. (2002). Functionalism expressed in American fashion design. Journal of the Korean Society of Clothing and Textiles, 26(9/10), 1455-1466.
  13. Heo, J. S., & Lee, E. J. (2019). Trend analysis of fashion brand evaluation using big data -Focusing on Gucci brand-. Journal of the Korean Society of Costume, 69(6), 38-51. doi:10.7233/jksc.2019.69.6.038
  14. Jeong, A. (2020). A study on the characteristics of Amekaji-look in Korea (Unpublished master's thesis). Seoul National University, Seoul, Korea.
  15. Kim, C., & Ro, M. (2009). Diffusion and limitation of American trendy casual style in Korea -Focusing on the styles of American celebrities-. Journal of the Korean Society of Costume, 59(2), 128-142.
  16. Kim, D. J., & Lee, S. (2019). A study of consumer perception on fashion show using big data analysis. Journal of Fashion Business, 23(3), 85-100. doi:10.12940/jfb.2019.23.3.85
  17. Kim, H. (2001). A study on design features of unisex young casual wear. Journal of the Korean Society of Costume, 51(6), 85-99.
  18. Kim, J., & Lee, J. (2018). Comparison and analysis of domestic and foreign sports brands using text mining and opinion mining analysis. The Journal of the Korea Contents Association, 18(6), 217-234. doi:10.5392/JKCA.2018.18.06.217
  19. Kim, S. S., & Kim, Y. S. (2016). Study on recognitions of luxury brands by using social big data. Fashion & Textile Research Journal, 18(1), 1-14. doi:10.5805/SFTI.2016.18.1.1
  20. Kim, Y. (2018). A study on Japanese men's street fashion -From Urahara to Neo-Urahara-. Journal of Fashion Design, 18(4), 1-16. doi:10.18652/2018.18.4.1
  21. Kim, Y. (2020). 소셜네트워크분석 기법의 이해와 적용: 네트워크 구조와 클러스터링 그리고 QAP [Understanding and application of social network analysis techniques: Network structure, clustering, and QAP]. Korea Insitute of Public Administration, 34, 58-68.
  22. Koo, Y. S. (2020). Trend analysis on clothing care system of consumer from big data. Fashion & Textile Research Journal, 22(5), 639-649. https://doi.org/10.5805/SFTI.2020.22.5.639
  23. Korea Institute of S&T Evaluation and Planning. (2018). KISTEP Technology Trend Brief (2018-11). Retrieved December 8, 2021 from https://www.kistep.re.kr/flexer/view.jsp?FileDir=/board/0031&SystemFileName=1533627124484.pdf&ftype=pdf&FileName=1533627124484.pdf
  24. Laney, D. (2001). 3-D data management: Controlling data volume, velocity and variety. META Group Research Note, 6(70).
  25. Lee, K. (2008). Change of Japanese street fashion after the Second World War. Fashion & Textile Research Journal, 10(1), 30-39.
  26. Lee, S. (2012). 네트워크 분석 방법론 [Network analysis method]. Seoul: Nonhyeong.
  27. Marx, W. D. (2020). Ametora: How Japan saved American style. (S. Park, Trans.). Seoul: Workroom Press. (Original work published 2015).
  28. Min, J. (2019, May 8). Come back! Biscuit pants...fashionable these days, wear work clothes. Hankyung Economy. Retrieved January 26, 2022, from www.hankyung.com
  29. Schroeck, M., Shockley, R., Smart, J., Romero-Morales, D., & Tufano, P. (2012). Analytics: The real-world use of big data. Somers, NY: IBM Institute for Business Value, Said Business School.
  30. Search Results for the 'American Casual' Category in Musinsa Codimap. (n.d.). [Photograph]. Musinsa Codimap. Retrieved from https://store.musinsa.com/app/codimap/lists?style_type=americancasual&tag_no=&brand=&display_cnt=60&list_kind=big&sort=date&page=1
  31. Seon, J., Jung, H., & Lee, J. (2021). 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, 71(3), 124-142. doi:10.7233/jksc.2021.71.3.124
  32. Song, E., & Lim, H. (2021). Perceptions and trends of digital fashion technology -A big data analysis-. Fashion & Textile Research Journal, 23(3), 380-389. doi:10.5805/SFTI.2021.23.3.380
  33. Sung, K. S. (2020). Research on the reaction to Newtro fashion through social media. The Treatise on The Plastic Media, 23(2), 10-18. doi:10.35280/KOTPM.2020.23.2.2
  34. Yadranjiaghdam, B., Pool, N., & Tabrizi, N. (2016). A survey on real-time big data analytics: Applications and tools. 2016 International Conference on Computational Science and Computational Intelligence (pp.404-409). Las Vegas, NV: IEEE
  35. Yum, H. (1999). A study on street fashion in Japan - Focusing on the 1980s-. Journal of Fashion Business, 3(4), 55-66.
  36. Yum, H. (2004). A study on the Japanese street fashion since the 1990's. Journal of Fashion Business, 8(2), 102-115.