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Sentiment Classification for Chinese Reviews Using Machine Learning Methods Based on String Kernel

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4 Author(s)
Changli Zhang ; Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun ; Wanli Zuo ; Tao Peng ; Fengling He

Sentiment classification aims at mining reviews of people for a certain event's topic or product by automatic classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help people automatic analysis of customers' opinions from the web information. Automatic opinion mining will benefit to both decision maker and ordinary people. Up to now, it is still a complicated task with great challenge. There are mainly two types of approaches for sentiment classification, machine learning methods and semantic orientation methods. Though some pioneer researches explored the approaches for English reviews classification, few jobs have been done on sentiment classification for Chinese reviews. The machine learning approach Based on string kernel for sentiment classification on reviews written in Chinese was proposed in this paper. Data experiment shows the capability of this approach.

Published in:

Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on  (Volume:2 )

Date of Conference:

11-13 Nov. 2008