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	Exploiting co-occurrence opinion words for semi-supervised sentiment classification
	Li, Suke ; Hao, Jinmei ; Jiang, Yanbing ; Jing, Qi
	2013
英文摘要	This work proposes a semi-sentiment classification method by exploiting co-occurrence opinion words. Our method is based on the observation that opinion words with similar sentiment have high possibility to co-occur with each other. We show co-occurrence opinion words are helpful for improving sentiment classification accuracy. We employ the co-training framework to conduct semi-supervised sentiment classification. Experimental results show that our proposed method has better performance than the Self-learning SVM method. ? Springer-Verlag 2013.; EI; 0
语种	英语
DOI标识	10.1007/978-3-642-53914-5_4
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/325777]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Li, Suke,Hao, Jinmei,Jiang, Yanbing,et al. Exploiting co-occurrence opinion words for semi-supervised sentiment classification. 2013-01-01.

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