Topic extraction from online reviews for classification and recommendation

Authors:
Ruihai Dong;Markus Schaal;Michael P. O'Mahony;Barry Smyth
Affiliations:
Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Ireland;Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Ireland;Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Ireland;Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Ireland
Venue:
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Year:
2013

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Abstract

Automatically identifying informative reviews is increasingly important given the rapid growth of user generated reviews on sites like Amazon and TripAdvisor. In this paper, we describe and evaluate techniques for identifying and recommending helpful product reviews using a combination of review features, including topical and sentiment information, mined from a review corpus.