1. Development of generative model in text sentiment classification.
- Author
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ZHANG Hui, LIU Yi-qun, and MA Shao-ping
- Subjects
- *
SENTIMENT analysis , *COMPUTER simulation , *SUPERVISED learning , *GENERATIVE grammar , *TEXT mining , *REPRESENTATION theory - Abstract
As an important research direction in text mining, this paper widely studied unsupervised and weak supervised generative models in text sentiment classification. It described the definition, classification and development of the generative model in text sentiment classification, focused on the relationship between the different generative sentiment models, with introduced the most representative models. Furthermore, it summarized the trends of the generative model and development in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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