CT-SPA: Text sentiment polarity prediction model using semi-automatically expanded sentiment lexicon

Tao-Hsing Chang, Ming-Jhih Lin, Chun-Hsien Chen, Shao-Yu Wang
2015 Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing  
In this study, an automatic classification method based on the sentiment polarity of text is proposed. This method uses two sentiment dictionaries from different sources: the Chinese sentiment dictionary CSWN that integrates Chinese WordNet with SentiWordNet, and the sentiment dictionary obtained from a training corpus labeled with sentiment polarities. In this study, the sentiment polarity of text is analyzed using these two dictionaries, a mixed-rule approach, and a statistics-based
more » ... model. The proposed method is used to analyze a test corpus provided by the Topic-Based Chinese Message Polarity Classification task of SIGHAN-8, and the F1measure value is tested at 0.62.
doi:10.18653/v1/w15-3125 dblp:conf/acl-sighan/ChangLCW15 fatcat:vhtugn4ht5gudjazvzlwsjo6x4