代大明,王中卿,李寿山,李培峰,朱巧明. 基于情绪词的非监督中文情感分类方法研究[J]. 中文信息学报, 2012, 26(4): 103-109.
DAI Daming, WANG Zhongqing, LI Shoushan, LI Peifeng, ZHU Qiaoming. Unsupervised Chinese Sentiment Classification with Emotion Words. , 2012, 26(4): 103-109.
Unsupervised Chinese Sentiment Classification with Emotion Words
DAI Daming, WANG Zhongqing, LI Shoushan, LI Peifeng, ZHU Qiaoming
1. School of Computer Science & Technology, Soochow University, Suzhou, Jiangsu 215006, China;2. Provincial Key Lab of Computer Information Processing Technology of Jiangsu, Suzhou, Jiangsu 215006, China
Abstract：Sentiment classification is to distinguish the text between the expressed sentiment categories, such as positive vs. negative or agree vs. disagree. This paper aims to perform unsupervised sentiment classification with only unlabeled data and a small scale of emotion words. In detail, we firstly adopted the emotion words to extract the automatically-labeled samples with high precision, and then used these samples with the unlabeled samples to perform semi-supervised learning for sentiment classification. Experimental results demonstrate that this approach can achieve a good performance for the task of sentiment classification in both product and hotel domains. Key wordssentiment classification; emotion words; unsupervised learning; co-training
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2012, Vol. 26 
