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Topic Extraction from Online Reviews for Classification and Recommendation

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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 eval- uate techniques for identifying and recommending helpful product reviews using a combination of re- view features, including topical and sentiment in- formation, mined from a review corpus
Conference Name: 
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
Proceedings: 
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
03/08/2013
Conference Location: 
China
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No