Paper Title:
Application of TSVM Incremental Learning in Web Text Categorization
  Abstract

Based on the research of the current situation in text categorization, this paper has drawn an inductive conclusion on the key technology of text category, carried out an exploration on the theory of transductive support vector machine (TSVM) as well as the categorizing process of incremental learning, established web Chinese text categorization model on the basis of TSVM incremental learning, and explained the learning process of incremental learning in Chinese text categorization. Experimental studies show that incremental learning has significant effect on improving the categorizing performance.

  Info
Periodical
Edited by
Dehuai Zeng
Pages
556-561
DOI
10.4028/www.scientific.net/AMR.159.556
Citation
Z. J. Jia, W. X. Hao, X. Y. Zhang, "Application of TSVM Incremental Learning in Web Text Categorization", Advanced Materials Research, Vol. 159, pp. 556-561, 2011
Online since
December 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhen Yan Liu, Wei Ping Wang, Yong Wang
Chapter 5: Information Processing and Computational Science
Abstract:This paper introduces the design of a text categorization system based on Support Vector Machine (SVM). It analyzes the high dimensional...
1191
Authors: Rong Ze Xia, Yan Jia, Hu Li
Chapter 4: Information Technology Applications in Industry and Engineering
Abstract:Traditional supervised classification method such as support vector machine (SVM) could achieve high performance in text categorization....
2449
Authors: Juan Wang, Zhi Xun Zhang, Yong Dong Wang
Chapter 4: Communication and Navigation, Information Technologies, Algorithms and Numerical Methods, Image, Video, Signal and Data Processing
Abstract:Feature extraction is a key point of text categorization[1]. The accuracy of extraction will directly affect the accuracy of text...
1824