A POS-based Ensemble Model for Cross-domain Sentiment Classification

Rui Xia, Chengqing Zong
2011 International Joint Conference on Natural Language Processing  
In this paper, we focus on the tasks of cross-domain sentiment classification. We find across different domains, features with some types of part-of-speech (POS) tags are domain-dependent, while some others are domain-free. Based on this finding, we proposed a POS-based ensemble model to efficiently integrate features with different types of POS tags to improve the classification performance. Weights are trained by stochastic gradient descent (SGD) to optimize the perceptron and minimal
more » ... cation error (MCE) criteria. Experimental results show that the proposed ensemble model is quite effective for the task of cross-domain sentiment classification.
dblp:conf/ijcnlp/XiaZ11 fatcat:3jdg47762jdb5pqwokmhevs4de