Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites. Chapter 25
Bartłomiej Twardowski , Piotr Gawrysiak
AbstractThe rapid growth of the Internet and social web communities has changed on-line merchandising. Opinions expressed on websites by the customers became useful information for new customers and product manufacturers. Opinion mining techniques started to be attractive as a method for processing user generated content with sentiment payload. Presented approach uses product reviews from e-commerce websites for the product feature opinion mining task. Manual data annotation process is avoided by fully automated building training data corpus. As a classifier CRF model is employed. Proof of concept on Polish e-commerce website was performed. Experiment has shown promising results.
Zgrzywa Aleksander, Choroś Kazimierz, Siemiński Andrzej (eds.): Multimedia and Internet Systems: Theory and Practice, Advances in Intelligent Systems and Computing, vol. 183, 2013, Heidelberg New York Dordrecht London, Springer-Verlag, ISBN 978-3-642-32334-8, 272 p., DOI:10.1007/978-3-642-32335-5
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|Project||Development of new methods and algorithms in the following areas: computer graphics, artificial intelligence, and information systems; and distributed systems. Project leader: Rybiński Henryk,
, Phone: +48 22 234 7731, start date 26-07-2011, planned end date 31-12-2011, end date 30-11-2012, II/2011/DS/1, Completed
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