Topic Extraction from Online Reviews for Classification and Recommendation

Ruihai Dong, Markus Schaal, Michael P. O'Mahony, Barry Smyth

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.