Automatic review identification on the web using pattern recognition. (14th August 2012)

• Record Type: Journal Article
• Authors: van der Meer, Jeroen; Frasincar, Flavius
• Other Names: Di lorio Angelo guestEditor.; Rossi Davide guestEditor.; Zacchiroli Stefano guestEditor.
• Is Part Of: Software, practice & experience. Volume 43:Number 12(2013)
• Page Start: 1415
• Page End: 1436
• Publication Date: 2012-08-14
• Subjects: automatic annotation -- user submitted reviews -- Google Rich Snippets -- RDFa; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2152
• Languages: English
• ISSNs: 0038-0644

Abstract

SUMMARY: 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 © 2012 John Wiley & Sons, Ltd.