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논문 기본 정보

자료유형
학술저널
저자정보
이승후 (경성대학교) 김학선 (경성대학교)
저널정보
한국조리학회 Culinary Science & Hospitality Research Culinary Science & Hospitality Research Vol.24 No.3(Wn.94)
발행연도
2018.3
수록면
167 - 176 (10page)

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연구주제
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연구배경
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연구방법
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초록· 키워드

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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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ABSTRACT
1. 서론
2. 이론적 배경
3. 연구방법
4. 분석결과
5. 결론 및 요약
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