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2012
ACM

Mining contrastive opinions on political texts using cross-perspective topic model

8 years 3 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple perspectives, the task of COM is to present the opinions of the individual perspectives on the topic, and furthermore to quantify their difference. This general problem subsumes many interesting applications, including opinion summarization and forecasting, government intelligence and cross-cultural studies. We propose a novel unsupervised topic model for contrastive opinion modeling. It simulates the generative process of how opinion words occur in the documents of different collections. The ad hoc opinion search process can be efficiently accomplished based on the learned parameters in the model. The difference of perspectives can be quantified in a principled way by the Jensen-Shannon divergence among the individual topic-opinion distributions. An extensive set of experiments have been conducted to eva...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
Added 25 Apr 2012
Updated 25 Apr 2012
Type Journal
Year 2012
Where WSDM
Authors Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
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