Paper: OPINE: Extracting Product Features And Opinions From Reviews

ACL ID H05-2017
Title OPINE: Extracting Product Features And Opinions From Reviews
Venue Conference on Empirical Methods in Natural Language Processing
Session System Demonstration
Year 2005
Authors

, pages 32–33, Vancouver, October 2005. OPINE: Extracting Product Features and Opinions from Reviews Ana-Maria Popescu Bao Nguyen Department of Computer Science and Engineering University of Washington Seattle, WA 98195-2350 {amp,omicron,etzioni}@cs.washington.edu Oren Etzioni Abstract Consumers have to often wade through a large number of on-line re- views in order to make an informed product choice. We introduce OPINE, an unsupervised, high-precision in- formation extraction system which mines product reviews in order to build a model of product features and their evaluation by reviewers.