Researching in Web Technology Classification Based on Improved Support Vector Machine

Shuang Zhang; Shi Xiong Zhang

doi:10.4028/www.scientific.net/AMM.274.563

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 274Researching in Web Technology Classification Based...

Researching in Web Technology Classification Based on Improved Support Vector Machine

Abstract:

Abstract. Web as the main platform of information manufacturing, issuing, processing and transacting, has emerged massive isomerous dynamic semi-structural or non-structural information resources [1], so how to extract useful information from the mass Web resources has become a question which need to be solved. This paper introduces the background and status from domestic and abroad, and expounds the related theory and technology of text classification, constructs the Web text classification system model, gives a Web text collection algorithm and collection system. It verified the theoretical method which proposed in this paper by experiment, the result show that the extraction of information and Web classification is more accurate.

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Periodical:

Applied Mechanics and Materials (Volume 274)

Pages:

563-566

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.274.563

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Online since:

January 2013

Authors:

Shuang Zhang, Shi Xiong Zhang

Keywords:

Decision Tree, Information Extraction, Support Vector Machine (SVM), Text Categorization, Web Text Classification, Web Text Mining

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