Kernel-based Sentiment Classification for Chinese Sentence

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Kernel-based Sentiment Classification for Chinese Sentence
Recent years have seen a large growth in the online customer reviews. Classifying these reviews into positive or negative ones would be helpful in business intelligence applications and recommender systems. This paper aims to solve the sentiment classification at a fine-grained level, i.e. the sentence level. The challenging aspect of this problem that distinguishes it from the traditional classification problem is that sentiment expression is more free-style. Classification features are more difficult to determine. In this paper, we propose a kernel-based method to make it is feasible for incorporating multiple features from word, n-gram and syntactic levels. Experiment results show that our method is effective, and it outperforms the very competitive n-gram method.
Linlin Li, Tianfang Yao
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Authors Linlin Li, Tianfang Yao
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