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New Technology of Library and Information Service  2013, Vol. 29 Issue (10): 59-65    DOI: 10.11925/infotech.1003-3513.2013.10.10
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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.
Key wordsPublic opinion analysis      Common knowledge mining      Sentimental element      Language structure     
Received: 01 July 2013      Published: 04 November 2013
:  TP391  

Cite this article:

Duan Jianyong, Cheng Liwei, Zhang Mei, Gao Zhen'an. The Common Knowledge Mining for the Internet Public Opinion Analysis. New Technology of Library and Information Service, 2013, 29(10): 59-65.

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http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2013.10.10     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2013/V29/I10/59

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