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The Common Knowledge Mining for the Internet Public Opinion Analysis |
Duan Jianyong, Cheng Liwei, Zhang Mei, Gao Zhen'an |
College of Information Engineering, North China University of Technology, Beijing 100144, China |
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Abstract The common knowledge mining is an effective way for the Internet public opinion analysis. This paper builds the common knowledge base for the common sentimental elements and the common language patterns. The common sentimental knowledge is mined by the semi-supervised method from the training corpus. This knowledge base is also quantified and dynamically expanded. The common language pattern knowledge includes three kinds of fixed models, such as transform model, extreme sentimental verb model and distance dependency model. Finally the common knowledge bases are testified in the domains of religions and hotels, and proved the effectiveness in the system implant performance.
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Received: 01 July 2013
Published: 04 November 2013
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