计算机科学 ›› 2008, Vol. 35 ›› Issue (4): 292-293.

• • 上一篇    下一篇

评论信息抽取技术在网络贸易系统平台上的应用

赵俊芹 杨丹 余淼 陈林   

  1. 重庆大学软件工程学院,重庆400044
  • 出版日期:2018-11-16 发布日期:2018-11-16

ZHAO Jun-Qin ,YANG Dan ,YU MIAO ,CHEN LIN (School of Software Engineering , Chongqing University, Chongqing 400044)   

  • Online:2018-11-16 Published:2018-11-16

摘要: 准确挖掘购物网站中的用户评论对商家和顾客进行有效的推荐具有重要作用。本文研究了现有的网络贸易系统平台的功能模块,给出了用户评论信息抽取的具体方法,并指出用户评论信息抽取模块应用到网络贸易系统平台的优势和实际意义。

关键词: 网络贸易 评论抽取 句法分析

Abstract: Mining the customer reviews accurately in commercial websites has significant meaning in effective recommendation for trade company and customers. This article studies function modules of the existing online shopping system platform, proposes a technique

Key words: Online shopping, Reviews extraction, Syntactical parser

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!