首页    期刊浏览 2024年07月01日 星期一
登录注册

文章基本信息

  • 标题:Rice Products Feature Analyzing on the Base of Online Review Mining
  • 本地全文:下载
  • 作者:Xixiang Sun ; Xiaoqing Song ; Xiangdong Liu
  • 期刊名称:Advance Journal of Food Science and Technology
  • 印刷版ISSN:2042-4868
  • 电子版ISSN:2042-4876
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 页码:49-53
  • 出版社:MAXWELL Science Publication
  • 摘要:This study aims to investigate the rice product features using online review mining method. The opinion mining is used to do online review data analyze. High-frequency words were extracted from non-structured online reviews text. Then the rice product features were gotten from the factor analysis on the base of high-frequency words. This provided a new method for product feature analyzing which was based on the data mining of online reviews. The proposed method can be used to compare features of rice products which were in the similar category. It also provided new views for understanding consumer brand knowledge. At the end of this study, the online review of rice products were used to verify the scientificity and rationality of this method.
  • 关键词:Data mining; online review ; opinion mining ; rice products ; ; ;
国家哲学社会科学文献中心版权所有