Paper: Co-Training for Cross-Lingual Sentiment Classification

ACL ID P09-1027
Title Co-Training for Cross-Lingual Sentiment Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

The lack of Chinese sentiment corpora limits the research progress on Chinese sentiment classification. However, there are many freely available English sentiment corpora on the Web. This paper focuses on the problem of cross-lingual sentiment classification, which leverages an available English corpus for Chi- nese sentiment classification by using the Eng- lish corpus as training data. Machine transla- tion services are used for eliminating the lan- guage gap between the training set and test set, and English features and Chinese features are considered as two independent views of the classification problem. We propose a co- training approach to making use of unlabeled Chinese data. Experimental results show the effectiveness of the proposed approach, which can outperform ...