| Sentence Sentiment Analysis Based on Cascaded CRFs Model | |
| Liu Kang (刘康); Zhao Jun (赵军） | |
| Source Publication | Chinese Journal of Computers
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| 2008 | |
| Issue | 22Pages:123-128 |
| Abstract | This paper focuses on the task of sentence sentiment analysis. The traditional sentence sentiment analysis methods have the following two problems. First, the classification method cannot consider the contextual information; Second, the label redundancy in the single-layer model has negative effect on the labeling accuracy of the second layer. Aiming at these two problems, this paper proposed a new sentence sentiment analysis method based on cascaded CRFs model, which used multiple CRFs models to computesentence sentiment and sentiment strength in a cascaded way. The cascaded frame can alleviate the negative impact of related labels on the labeling accuracy, and on the other hand CRFs model can consider the contextual information. This method can improve the accuracy of sentence sentiment strength label while labeling sentence sentiment effectively. The experiments can validate this method. The performance of experiments can be improved greatly than SVM method and classical CRFs model. |
| Keyword | Sentence Sentiment Analysis |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/20667 |
| Collection | 模式识别国家重点实验室_自然语言处理 |
| Recommended Citation GB/T 7714 | Liu Kang ,Zhao Jun . Sentence Sentiment Analysis Based on Cascaded CRFs Model[J]. Chinese Journal of Computers,2008(22):123-128. |
| APA | Liu Kang ,&Zhao Jun .(2008).Sentence Sentiment Analysis Based on Cascaded CRFs Model.Chinese Journal of Computers(22),123-128. |
| MLA | Liu Kang ,et al."Sentence Sentiment Analysis Based on Cascaded CRFs Model".Chinese Journal of Computers .22(2008):123-128. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| Sentence Sentiment A（203KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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