A Study on the Semantic Network Analysis of "Cooking Academy" through the Big Data

빅데이터를 활용한 "조리학원"의 의미연결망 분석에 관한 연구

  • Lee, Seung-Hoo (School of Hospitality & Tourism Management, Kyungsung University) ;
  • Kim, Hak-Seon (School of Hospitality & Tourism Management, Kyungsung University)
  • 이승후 (경성대학교 호텔관광외식경영학과) ;
  • 김학선 (경성대학교 호텔관광외식경영학과)
  • Received : 2018.03.05
  • Accepted : 2018.03.21
  • Published : 2018.03.31


In this study, Big Data was used to collect the information related to 'Cooking Academy' keywords. After collecting all the data, we calculated the frequency through the text mining and selected the main words for future data analysis. Data collection was conducted from Google Web and News during the period from January 1, 2013 to December 31, 2017. The selected 64 words were analyzed by using UCINET 6.0 program, and the analysis results were visualized with NetDraw in order to present the relationship of main words. As a result, it was found that the most important goal for the students from cooking school is to work as a cook, likewise to have practical classes. In addition, we obtained the result that SNS marketing system that the social sites, such as Facebook, Twitter, and Instagram are actively utilized as a marketing strategy of the institute. Therefore, the results can be helpful in searching for the method of utilizing big data and can bring brand-new ideas for the follow-up studies. In practical terms, it will be remarkable material about the future marketing directions and various programs that are improved by the detailed curriculums through semantic network of cooking school by using big data.


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