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文章基本信息

  • 标题:Application Research on E-commerce Credit Evaluation based on Opinion Mining
  • 本地全文:下载
  • 作者:Xiao Qiang ; He Rui-Chun ; Liao Hui
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2013
  • 卷号:6
  • 期号:6
  • 页码:83-92
  • 出版社:SERSC
  • 摘要:To increase the buyers know more about the credit of E-commerce product sellers and the purchase rate of the E-commerce users, E-commerce credit evaluation model based on the opinion mining algorithm was put forward. Extract the feature words and views from the products and user reviews, and then make use of statistical and quantitative way to analyze them. In the mean time, a credit evaluation model with transaction time-frequency can be set up, which can be used to analyze the seller's credit of E-commerce users. Through the experiment, this model was verified to have certain practicability and validity in E-commerce credit evaluation
  • 关键词:Opinion mining; electronic commerce; credit evaluation; point of view
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