Paper: Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid

ACL ID D10-1006
Title Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

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