Sciweavers

EMNLP
2010

Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid

13 years 1 months ago
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
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.
Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where EMNLP
Authors Wayne Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li
Comments (0)