Research of Web-Page Multi-Class Classification System Based on Support Vector Machine
A Chinese web-page classification algorithm based on SVM including the important aspects of text preprocessing, feature selection and multiple-Classification algorithm. In this paper, based on the analyses of features of Web documents, this paper does research the approach of classification in Suppo...
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Published in | Applied Mechanics and Materials Vol. 713-715; no. Mechatronics Engineering and Modern Information Technologies in Industrial Engineering; pp. 2312 - 2316 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.01.2015
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Subjects | |
Online Access | Get full text |
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Summary: | A Chinese web-page classification algorithm based on SVM including the important aspects of text preprocessing, feature selection and multiple-Classification algorithm. In this paper, based on the analyses of features of Web documents, this paper does research the approach of classification in Support Vector Machine (SVM) and select of Kernel function. Furthermore, a web-page classification model and algorithm that is based on Binary Tree SVM is presented. The experiments show that it not only reduces the size of train set, but also has very high training efficiency. Its precision and recall are better. |
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Bibliography: | Selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Modern Technologies in Industrial Engineering (MEMTIE 2014), October 25-26, 2014, Changsha, Hunan, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISBN: | 9783038353799 3038353795 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.713-715.2312 |