• Title/Summary/Keyword: Semantic network anaysis

Search Result 1, Processing Time 0.015 seconds

A study on the Domestic Consumer's Perception of "Hansik" with Big Data Analysis : Using Text Mining and Semantic Network Analysis (빅데이터를 통한 내국인의 '한식' 인식 연구 : 텍스트마이닝과 의미연결망 중심으로)

  • Park, Kyeong-Won;Yun, Hee-Kyoung
    • Journal of the Korea Convergence Society
    • /
    • v.11 no.6
    • /
    • pp.145-151
    • /
    • 2020
  • '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.