@article{ART002319591,
author={타오 슈팅 and 강병남 and 김학선},
title={Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining},
journal={Culinary Science & Hospitality Research},
issn={2466-0752},
year={2018},
volume={24},
number={2},
pages={34-43},
doi={10.20878/cshr.2018.24.2.005},
url={http://dx.doi.org/10.20878/cshr.2018.24.2.005}
}

TY - JOUR
AU - 타오 슈팅
AU - 강병남
AU - 김학선
TI - Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining
T2 - Culinary Science & Hospitality Research
JO - Culinary Science & Hospitality Research
PY - 2018
VL - 24
IS - 2
PB - (사)한국조리학회
SP - 34
EP - 43
SN - 2466-0752
AB - 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.
KW - Cruise food hygiene, Big data, Language network analysis, Web crawling, Text mining.
DO - 10.20878/cshr.2018.24.2.005
UR - http://dx.doi.org/10.20878/cshr.2018.24.2.005
ER -

타오 슈팅, 강병남 and 김학선. 2018, "Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining", Culinary Science & Hospitality Research, vol.24, no.2 pp.34-43. Available from: doi:10.20878/cshr.2018.24.2.005

타오 슈팅, 강병남, 김학선 "Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining" Culinary Science & Hospitality Research 24.2 pp.34-43 (2018) : 34.

타오 슈팅, 강병남, 김학선. Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining. 2018; 24(2), 34-43. Available from: doi:10.20878/cshr.2018.24.2.005

타오 슈팅, 강병남 and 김학선. "Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining" Culinary Science & Hospitality Research 24, no.2 (2018) : 34-43.doi: 10.20878/cshr.2018.24.2.005

타오 슈팅; 강병남; 김학선. Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining. Culinary Science & Hospitality Research, 24(2), 34-43. doi: 10.20878/cshr.2018.24.2.005

타오 슈팅; 강병남; 김학선. Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining. Culinary Science & Hospitality Research. 2018; 24(2) 34-43. doi: 10.20878/cshr.2018.24.2.005

타오 슈팅, 강병남, 김학선. Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining. 2018; 24(2), 34-43. Available from: doi:10.20878/cshr.2018.24.2.005

타오 슈팅, 강병남 and 김학선. "Understanding the Food Hygiene of Cruise through the Big Data Analytics using the Web Crawling and Text Mining" Culinary Science & Hospitality Research 24, no.2 (2018) : 34-43.doi: 10.20878/cshr.2018.24.2.005