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  • 标题:CATEGORY EFFECT OF KEYWORDS ON HEALTHCARE INDUSTRY BY TEXT MINING IN WEB
  • 本地全文:下载
  • 作者:JAE-WON HONG ; JAE-YOUNG MOON
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2017
  • 卷号:95
  • 期号:21
  • 页码:5924
  • 出版社:Journal of Theoretical and Applied
  • 摘要:This study is intended to investigate the effects of keywords by category on the diffusion of consumers interest in healthcare industry focus on tourism using data mining in web environment. And the results are as follows: first, in the case of health care-related keywords, search activities for the categories of finance, biz, book, and social categories are found to affect the diffusion of medical tourism. Second, in the case of the physical examination keywords, search activities for the categories, such as Shopping, Travel, Social, community, are found to have some effect on the diffusion of medical tourism. Third, the role played by key words that affect the diffusion of medical tourism is appeared to differ depending on their categories. That is, for the part of health care, the categories of premeditation attribute, such as, finance, book, biz, travel, found to have impact on the diffusion of medical tourism, while in the case of physical examination, categories of impulsion, such as shopping, sports, food, are found to affect the diffusion of medical tourism. In other words, it is implied that the attributes of keywords and categories should be considered in communicating for the diffusion of medical tourism in web environment.
  • 关键词:Keyword Analysis; Text Mining; Healthcare; Tourism; Web Environment
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