Research on Mining and Classification of Public Opinion Mining Based on Semantic

Guang Li Wu

doi:10.4028/www.scientific.net/AMM.687-691.1218

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on Mining and Classification of Public...

Research on Mining and Classification of Public Opinion Mining Based on Semantic

Abstract:

In this paper, we used CSP algorithm as the core, constructed public opinion mining system including the mining module, the mining policy management module, the user management module, and the Fault Management module. The system's major job is finish public opinion mining, text classification, concept Clustering, the similarity analysis, automatic Digest, and optimize the result of the web system, mail system and other major media networks. After establish the theme, the system will optimizing the initial seed and get the resource, then get tabloid through text analysis technology, After that the documents will be classified to the concept of clustering, a concept of space and a neural network algorithms will be settled, so that it can provide users with the concept of space-based interface for the research and the circumstances surrounding the development process. The system provide the appropriate information platform for the departments to regulate public opinion timely and reasonable.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1218-1222

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1218

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Online since:

November 2014

Authors:

Guang Li Wu*

Keywords:

GARCH Models, Internet Public Opinion Mining, Local Latent Semantic Analysis

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