현대한복 착용의 국내외 반응에 대한 텍스트 마이닝 분석
Analysis of Domestic and International Reactions to Modern Hanbok in Korean Wave : Use of Textmining Methods
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초록
As the popularity of Hallyu content at domestic and global has increased day by day, interest in Hanbok seen on dramas, movies and K-pop stages has also increased. However, compared to the high popularity of the Korean Wave, there is a lack of research on domestic and foreign responses to modern clothing shown in the Korean Wave culture. Therefore, collecting domestic and foreign responses to each case, emotional analysis was carried out, which aims to identify domestic and foreign responses to the wearing of modern Hanbok in the Korean Wave culture. The responses of the comments were analyzed using text mining in two ways: positive and negative responses were examined through Wordcloud, which lists key words in frequency order, followed by reading and analyzing the actual comments by reaction. The results of the research analyzed through these methods are as follows. Through these results, we wanted to compare and analyze the domestic and global responses to modern Hanbok shown in Korean Wave culture and the domestic and global responses to the wearing of modern Hanbok by ordinary peaple. Through this, we want to provide basic data on how to globalize Hanbok.
Abstract
As the popularity of Hallyu content at domestic and global has increased day by day, interest in Hanbok seen on dramas, movies and K-pop stages has also increased. However, compared to the high popularity of the Korean Wave, there is a lack of research on domestic and foreign responses to modern clothing shown in the Korean Wave culture. Therefore, collecting domestic and foreign responses to each case, emotional analysis was carried out, which aims to identify domestic and foreign responses to the wearing of modern Hanbok in the Korean Wave culture. The responses of the comments were analyzed using text mining in two ways: positive and negative responses were examined through Wordcloud, which lists key words in frequency order, followed by reading and analyzing the actual comments by reaction. The results of the research analyzed through these methods are as follows. Through these results, we wanted to compare and analyze the domestic and global responses to modern Hanbok shown in Korean Wave culture and the domestic and global responses to the wearing of modern Hanbok by ordinary peaple. Through this, we want to provide basic data on how to globalize Hanbok.
참고문헌 (32)
- 심준영, "대여 한복에 대한 연구 - 2006년과 2016년 시장과 소비자 변화를 중심으로 -", 복식문화연구, 25(3), pp.405~418 (2017), 복식문화학회[DOI]
- 김여경, "2000년 이후 인쇄매체에 나타난 한복의 조형미 연구", 박사, 의류직물학, pp.2010
- 박영선, "생활한복 디자인 개발을 위한 소비자 인지도 조사 연구", 한복문화, 6(3), pp.2~24 (2003), 한복문화학회
- 이주원, "생활한복의 문화상품화를 위한 방안", 한복문화, 5(4), pp.8~95 (2002), 한복문화학회
- 김미진, "근대이후 여성 생활한복의 특징 및 변천", 한국의상디자인학회지, 7(2), pp.261~282 (2005), 한국의상디자인학회
- 이정은, "현대 신한복 온라인 쇼핑몰의 상품 분류 고찰", 한복문화, 23(3), pp.79~93 (2020), 한복문화학회
- 이재영, "대여용 패션한복의 스타일 특성 분석", 기초조형학연구, 18(5), pp.437~448 (2017), 한국기초조형학회
- 이미숙, "한복 브랜드의 디지털 미디어 활용 및 온라인 쇼핑몰 현황 연구", 한국디자인문화학회지, 24(3), pp.425~441 (2018), 한국디자인문화학회
- "구글트렌드"[URL]
- "청바지, 운동화와 입어도 어울려요...新한복의 매력" (2019)[URL]
- "“후드티? 이거 한복 맞습니다.” 2030 매료된 한복룩" (2021)[URL]
- "맵시 살려주는 ‘한복 교복’ 입고 등교" (2020)[URL]
- "때때롯살롱"[URL]
- "21세기 공주옷, 나를 사랑하라" (2021)[URL]
- 김경미, "영화 ‘상의원(尙衣院)’의 복식에 대한 고찰", 동양예술, (27), pp.29~54 (2015), 한국동양예술학회
- "틸다 스윈턴-안서현, 피기 핑크드레스는 한복과 샤넬의 합작품" (2017)[URL]
- 배리듬, "장옷의 특성을 적용한 현대적 외투 디자인 개발에 관한 연구-조선시대부터 20세기까지의 장옷을 중심으로-", 한복문화, 21(1), pp.101~114 (2018), 한복문화학회[DOI]
- 정환희, "방탄소년단(BTS)의 패션 스타일 전략에 관한 연구", 석사, pp.2020
- Sagayam, R., "A survey of text mining: Retrieval, extraction and indexing techniques", International Journal of Computational Engineering Research, 2(5), pp.1443~1446 (2012)
- Dang, S., "Text mining: Techniques and its application", International Journal of Engineering & Technology Innovations, 1(4), pp.866~2348 (2014)
- Kaushik, A., "A comprehensive study of text mining approach", International Journal of Computer Science and Network Security (IJCSNS), 16(2), pp.69~76 (2016)
- Mooney, R. J., "Mining knowledge fromtext using information extraction", ACMSIGKDD explorations newsletter, 7(1), pp.3~10 (2005)[DOI]
- Iwata, T., "Topic tracking model for analyzing consumer purchase behavior", Twenty-First International Joint Conference on Artificial Intelligence, pp.1427~1432 (2009)
- Vishal Gupta, "A Survey of Text Summarization Extractive Techniques", Journal of Emerging Technologies in Web Intelligence, 2(3), pp.258~268 (2010), Engineering and Technology Publishing[DOI]
- Namburu, S. M., "Experiments on supervised learning algorithms for text categorization", 2005 IEEE Aerospace Conference, pp.1~8 (2005)
- Shehata, S., "An efficient concept-based mining model for enhancing text clustering", IEEE Transactions on Knowledge and Data Engineering, 22(10), pp.1360~1371 (2009)[DOI]
- Patel, F. N., "Text mining: A Brief survey", International Journal of Advanced Computer Research, 2(4), pp.243~248 (2012)
- Kaushik, A., "A comprehensive study of text mining approach", International Journal of Computer Science and Network Security (IJCSNS), 16(2), pp.69~76 (2016)
- Research challenge on opinion mining and sentiment analysis, "Osimo, D.", Universite de Paris-Sud, Laboratoire LIMSI-CNRS, 508~ (2012)
- Kaushik, A., "A study on sentiment analysis: methods and tools", Int. J. Sci. Res.(IJSR), 4(12), pp.287~292 (2015)
- 장민정, "한국 전통복식의 유튜브(YouTube) 콘텐츠 현황 분석", 한복문화, 22(4), pp.115~123 (2019), 한복문화학회[DOI]
- 최영현, "K-POP 아이돌 그룹 신한복 스타일에 대한 글로벌 반응: 블랙핑크 패션 사례", 디지털융복합연구, 18(12), pp.533~541 (2020), 한국디지털정책학회[DOI]