CASIA OpenIR  > 自然语言处理团队
Sentiment Classification of Chinese Contrast Sentences
Li JJ(李俊杰)
开始日期2014-12-05
结束日期2014-12-09
会议类型国内会议
简介

We present the study of sentiment classification of Chinese contrast
sentences in this paper, which are one of the commonly used language constructs in text. In a typical review, there are at least around 6% of such sentences. Due to the complex contrast phenomenon, it is hard to use the traditional bag-of-words to model such sentences. In this paper, we propose a Two-Layer Logistic Regression (TLLR) model to leverage such relationship in sentiment classification. According to different connectives, our model can treat different clauses differently in sentiment classification. Experimental results show that TLLR model can effectively improve the performance of sentiment classification of Chinese contrast sentences.
 

文献类型会议
条目标识符http://ir.ia.ac.cn/handle/173211/23065
专题自然语言处理团队
推荐引用方式
GB/T 7714
Li JJ.Sentiment Classification of Chinese Contrast Sentences[Z].2014.
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