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

automatic annotation, Google Rich Snippets, RDFa, user submitted reviews
dx.doi.org/10.1002/spe.2152, hdl.handle.net/1765/64268
Software - Practice and Experience
Erasmus Research Institute of Management

van der Meer, J, & Frasincar, F. (2013). Automatic review identification on the web using pattern recognition. In Software - Practice and Experience (Vol. 43, pp. 1415–1436). doi:10.1002/spe.2152