Culinary science and hospitality research (한국조리학회지)

Culinary Society of Korean Academy (한국조리학회)
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Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining

  • Shuting, Tao (School of Hospitality & Tourism Management, Kyungsung University) ;
  • Kang, Byongnam (Dept. of Foodservice Management & Culinary, Hyejeon College) ;
  • Kim, Hak-Seon (School of Hospitality & Tourism Management, Kyungsung University)
  • Received : 2017.12.11
  • Accepted : 2018.02.23
  • Published : 2018.02.28
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Abstract

The objective of this study was to acquire a general and text-based awareness and recognition of cruise food hygiene through big data analytics. For the purpose, this study collected data with conducting the keyword "food hygiene, cruise" on the web pages and news on Google, during October 1st, 2015 to October 1st, 2017 (two years). The data collection was processed by SCTM which is a data collecting and processing program and eventually, 899 kb, approximately 20,000 words were collected. For the data analysis, UCINET 6.0 packaged with visualization tool-Netdraw was utilized. As a result of the data analysis, the words such as jobs, news, showed the high frequency while the results of centrality (Freeman's degree centrality and Eigenvector centrality) and proximity indicated the distinct rank with the frequency. Meanwhile, as for the result of CONCOR analysis, 4 segmentations were created as "food hygiene group", "person group", "location related group" and "brand group". The diagnosis of this study for the food hygiene in cruise industry through big data is expected to provide instrumental implications both for academia research and empirical application.

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References

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