Publication Type

Conference Proceeding Article

Publication Date

10-2010

Abstract

Discovering and summarizing opinions from online reviews is an important and challenging task. A commonly-adopted framework generates structured review summaries with aspects and opinions. Recently topic models have been used to identify meaningful review aspects, but existing topic models do not identify aspect-specific opinion words. In this paper, we propose a MaxEnt-LDA hybrid model to jointly discover both aspects and aspect-specific opinion words. We show that with a relatively small amount of training data, our model can effectively identify aspect and opinion words simultaneously. We also demonstrate the domain adaptability of our model.

Publication

Procceedings of the Conference on Empirical Methods in Natural Language Processing: 9-11 October 2010, MIT, Massachusetts, USA

First Page

56

Last Page

65

Publisher

ACL

City or Country

Boston, MA

Additional URL

http://www.aclweb.org/anthology/D/D10/D10-1006.pdf

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