A novel scheme for domain-transfer problem in the context of sentiment analysis

Authors:
Songbo Tan;Gaowei Wu;Huifeng Tang;Xueqi Cheng
Affiliations:
Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China
Venue:
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Year:
2007

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Abstract

In this work, we attempt to tackle domain-transfer problem by combining old-domain labeled examples with new-domain unlabeled ones. The basic idea is to use old-domain-trained classifier to label some informative unlabeled examples in new domain, and retrain the base classifier over these selected examples. The experimental results demonstrate that proposed scheme can significantly boost the accuracy of the base sentiment classifier on new domain.