Automatic review identification on the web using pattern recognition

被引：2

作者：

van der Meer, Jeroen ^{[1
]}

Frasincar, Flavius ^{[1
]}

机构：

[1] Erasmus Univ, NL-3000 DR Rotterdam, Netherlands

来源：

SOFTWARE-PRACTICE & EXPERIENCE | 2013年 / 43卷 / 12期

关键词：

automatic annotation; user submitted reviews; Google Rich Snippets; RDFa; DATA EXTRACTION;

D O I：

10.1002/spe.2152

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper we propose the Automatic Review Recognition and annOtation of Webpages method, which is capable of identifying and annotating user submitted reviews on a Web page. The method consists of six steps: data preparation, page-level pattern identification, subjectivity analysis, container structure analysis, review properties identification, and review annotation. For the evaluation, we have implemented the method and tested it on various review websites. On the basis of the performed evaluation, we conclude that our method is capable of identifying and annotating the majority of reviews. Copyright (c) 2012 John Wiley & Sons, Ltd.

引用

页码：1415 / 1436

页数：22

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