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Research Article
 

A Novel Public Opinion Mining Method on Microblog Platform



Zhao Zhe, Xiang Yang, Zhang Bo, Zhang Qi and Pan Tao
 
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ABSTRACT

Microblog has been an important platform for expression of public opinion towards policy decisions. One key challenge for policymakers is to mine public opinions from microblog platforms as soon as possible. In order to deal with the challenge, this paper proposes a Topic Detection and Tracking (TDT) algorithm based on self-adjusting vector space model (VSM) and an opinion mining method based on comments. Furthermore, an innovative opinion mining system is developed, using mciroblog as the opinion mining platform and combining natural language processing techniques with similarity calculation and polarity calculation. A series of related experiments are employed to verify the efficiency and maneuverability of the algorithm.

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  How to cite this article:

Zhao Zhe, Xiang Yang, Zhang Bo, Zhang Qi and Pan Tao, 2013. A Novel Public Opinion Mining Method on Microblog Platform. Journal of Applied Sciences, 13: 3315-3319.

DOI: 10.3923/jas.2013.3315.3319

URL: https://scialert.net/abstract/?doi=jas.2013.3315.3319
 

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