Abstract
In this paper, we propose a new method for the opinion sentence extraction and its polarity identification in sentences which contain sentimental elements. In this method, the single sentimental element and Composite Sentimental Element are calculated respectively by sentimental dictionary and sentiment-based training corpus. After that, we design a model which is to extract objective & subjective sentences and analyze the polarity of the latter. This model can be used to extract the sentimental information in the two parties of sentimental elements. Finally, we applied this model in micro-blog sentences analyzing and proved its effectiveness.
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