首页 | 本学科首页   官方微博 | 高级检索  
     

一种新颖的CRE用户评论信息抽取技术
引用本文:李慧,张舒,顾天竺,陈晓红,吴颜.一种新颖的CRE用户评论信息抽取技术[J].计算机应用,2006,26(10):2509-2512.
作者姓名:李慧  张舒  顾天竺  陈晓红  吴颜
作者单位:1. 淮海工学院,计算机科学系,江苏,连云港,222005;扬州大学,信息工程学院,江苏,扬州,225009
2. 扬州大学,信息工程学院,江苏,扬州,225009
摘    要:准确挖掘商务网站中的用户评论对于商家进行有效的推荐具有重要意义。提出了一种新颖的用户评论抽取(CRE)算法进行评论信息的抽取。该算法采用了页面分块与信息熵的迭代计算技术实现了评论块的自动发现与抽取。实验结果证明了该算法具有较高的查全率与查准率。

关 键 词:用户评论抽取  信息抽取  基于视觉的页面分块
文章编号:1001-9081(2006)10-2509-04
收稿时间:2006-04-28
修稿时间:2006-04-282006-07-04

Novel technology of customer review extraction
LI Hui,ZHANG Shu,GU Tian-zhu,CHEN Xiao-hong,WU Yan.Novel technology of customer review extraction[J].journal of Computer Applications,2006,26(10):2509-2512.
Authors:LI Hui  ZHANG Shu  GU Tian-zhu  CHEN Xiao-hong  WU Yan
Affiliation:1. Department of Computer Science, Huaihai Institute of Technology, Lianyungang Jiangsu 222005, China 2. Department of Computer Science, YangZhou University, Yangzhou Jiangsu 225009, China
Abstract:Mining the customer reviews accurately in commercial websites has significant meaning in effective recommendation for trade company. A kind of novel algorithm—Customer Review Extraction (CRE) was put forward in this paper. CRE iteratively segments page and calculate the information entropy to automatically discover and extract the reviews. The experimental result has proved that the algorithm has higher recall and precision.
Keywords:Customer Review Extraction(CRE)  information extraction  Vision-based Page Segmentation(VIPS)
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号