DOI QR코드

DOI QR Code

빅데이터를 통한 내국인의 '한식' 인식 연구 : 텍스트마이닝과 의미연결망 중심으로

A study on the Domestic Consumer's Perception of "Hansik" with Big Data Analysis : Using Text Mining and Semantic Network Analysis

  • 박경원 (홍익대학교 일반대학원 광고홍보학과) ;
  • 윤희경 (수원여자대학교 멀티미디어디자인과)
  • Park, Kyeong-Won (Advertising and Public Relations, Hongik Graduate School) ;
  • Yun, Hee-Kyoung (Department of Multimedia-design, Suwon Women's University)
  • 투고 : 2020.03.23
  • 심사 : 2020.06.20
  • 발행 : 2020.06.28

초록

한국의 국가 브랜드 중 하나인 '한식'에 대한 내국인 소비자 인식 파악을 위해 검색어 '한식'으로 데이터 수집을 진행하였다. 분석 프로그램 텍스톰(Textom3.5)을 사용하여 2018년 11월 1일부터 2019년 10월 31일까지의 네이버 블로그와 뉴스 데이터를 수집하였다. 빈도 분석과 TF-IDF 분석 결과, 한식의 인식에서 '뷔페'가 가장 중요한 부분을 차지했다. 스타 셰프의 방송 콘텐츠가 한식의 인식에 영향을 미치고 있었으며, '퓨전화'와 '고급화' 등 한식에 대한 인식이 비단 전통성에 머무르고 있지만은 않음을 알 수 있었다. UCINET6와 NetDraw를 활용한 CONCOR 분석 결과, 다양한 식문화의 클러스터, 방송에 출연한 고급 레스토랑의 클러스터, 한식 브랜드 클러스터, 한식 뷔페의 클러스터가 형성되었다. 한식의 연상 이미지 강화를 위한 방안으로 뷔페 메뉴의 다양성을 차용한 한식 개발, 고급화된 한식 홍보를 위한 미디어 노출, 간편식 수요에 대한 마케팅적 시각과 콘텐츠 개발을 제안하는 바이다.

'Hansik', or Korean cuisine is one of Korea national brands. To understand the domestic consumer awareness of Korean cuisine, data was gathered under the keyword search, 'Hansik.' Textom 3.5 was used to gather data from blogs, news media found on Naver from November 1, 2018, to October 31, 2019. The results from frequency and TF-IDF analysis indicate that the 'buffet' had the largest proportion in terms of consumer awareness to Hansik. Also, broadcasting contents starring star chefs had a great influence. The Hansik awareness did not remain in the domains of its traditionality, but also branched into extents into areas such as fusional and gourmet cuisine. UCINET6 and NetDraw were used to conduct CONCOR analysis. Four cluster formations have been found; various food cultural cluster, high-end restaurant cluster referring to aired restaurants on media, Hansik brand cluster, and Hansik buffet cluster. This study proposes presenting a various menu of Hansik which use a multiple number of ingredients. Also, a promotion that introduces fine Hansik and a development of marketing views and media contents about the convenient HMRs make the associated imagery of Hansik to be strengthen.

키워드

참고문헌

  1. E. J. Lee. (2011). Korean Food Globalization and Project Development Strategies. Food Industry and Nutrition, 16(2), 1-5.
  2. C. W. Choi & B. B. Moon. (2015). A Comparative Study on Nation Brand Images and Brand Performances of South Korea between Koreans and Foreigners, The Korean Advertising and PR Pracititioners Sociey, 8(2), 191-208. DOI : 10.21331/JPRAPR.2015.8.2.008
  3. M. S. Ahn & I. K. Oh. (2015). Analysis of Attitudes on Using Five-Star Hotel Packages Applying Network Text Analysis Method : Using Portal Sites. Korea Academic Society of Tourism Managment, 30(5), 163-181.
  4. Marcelo Bucheli & R. Daniel Wadhwani. (2013). Organizations in Time: History, Theory, Methods. OUP Oxford, 284. DOI : 10.1093/ACPROF:oso/9780199646890.001.0001
  5. J. S. Lee & L. N. Chung. (2017). The Effects of the Favorability of Korean Food on the Favorability of Korean Wave, Country Image, and Visit Intention to Korea : Focused on Young Vietnamese. The Korea Contents Association, 17(7), 320-331. DOI : 10.5392/JKCA.2017.17.07.320
  6. Korean Food Promotion Institute. http://www.hansik.or.kr
  7. J. S. Choi. (2017). Analysis on Foreigners' perception of Korean Food Using Social Big Data, Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 7(8), 427-437. DOI : 10.14257/ajmahs.2017.08.85
  8. H. N. Kim. (2014). Case Study of Bigdata Visualization : Centre around the Visual Representation Form. Journal of Integrated Design Research, 13(4), 125-136. DOI : 10.21195/JIDR.2014.13.4.011
  9. Carter, P. (2011). Big data analytics, future architectures, skills & road maps for the CIO. IDC White paper, 1-16.
  10. McKinsey & Company. (2011). Big data, the next frontier for innovation, competition, and productivity. McKinsey Global Institute.
  11. Samsung Economic Research Institute. (2011). Finding valuable data from the flood of information, Analysis and practical use of Big data. https://www.seri.org/db/dbReptV.html?menu=db12&pubkey=db20110210001SERI.91.
  12. H. Baars & H. G. Kemper. (2008). Management Support with Structured and Unstructured Data -an Integrated Business Intelligence Framework. Information Systems Management, 25(2), 132-148. DOI : 10.1080/10580530801941058
  13. G. George, M. Haas, R. & A. Pentland. (2014). Big data and management. Academy of Management Journal, 57(2), 321-326. DOI : 10.5465/AMJ.2014.4002
  14. Y. S. Hwang. (2019). A Study on the Recognition of Universal Design through Text Mining, Journal of the Korea Institute of Spatial Design, 14(1), 57-66. DOI : 10.35216/KISD.2019.14.1.57
  15. S. R. Kim & M. M. Kang. (2014). now and the future of big data analytics, Communications of the Korean Institute of Information Scientists and Engineers, 32(1), 8-17.
  16. W. G. Kang, E. S. Ko, H. R. Lee & J. N. Kim. (2018). A Study of the Consumer Major Perception of Packaging Using Big Data Analysis: Focusing on Text Mining and Semantic Network Analysis, Journal of the Korea Convergence Society, 9(4), 15-22. DOI : 10.15207/JKCS.2018.9.4.015
  17. Y. S. Hwang. (2019). A Study on the Recognition of Universal Design through Text Mining, Journal of the Korea Institute of Spatial Design, 14(1), 57-66. DOI : 10.35216/KISD.2019.14.1.57
  18. W. G. Kang, E. S. Ko, H. R. Lee & J. N. Kim. (2018). A Study of the Consumer Major Perception of Packaging Using Big Data Analysis: Focusing on Text Mining and Semantic Network Analysis, Journal of the Korea Convergence Society, 9(4), 15-22. DOI : 10.15207/JKCS.2018.9.4.015
  19. K. W. Park. (2019). Perception on 'Sungsu-Dong' through Big Data Analysis, Journal of Cultural Product & Design, 58, 45-52. DOI : 10.18555/KICPD.2019.58.05
  20. J. H. Lee, J. M. Lee, W. K. Kim & H. G. Kim. (2017). A Study on Perception of Swimsuit Using Big Data Text-Mining Analysis, Korean Journal of Sport Science, 28(1), 104-116. DOI : 10.24985/KJSS.2017.28.1.104
  21. Y. S. Hwang. (2019). A Study on the Recognition of Universal Design through Text Mining, Journal of the Korea Institute of Spatial Design, 14(1), 57-66. DOI : 10.35216/KISD.2019.14.1.57
  22. Maeil Business News, http://www.mk.co.kr