High Performance Text Categorization System Based on a Novel Neural Network Algorithm

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	Similar Articles Articles by Cheng Hua Li Articles by Soon Cheol Park

Sixth IEEE International Conference on Computer and Information Technology (CIT'06)

Seoul, Korea

September 20-September 22

ISBN: 0-7695-2687-X

	ASCII Text	x
	Cheng Hua Li, Soon Cheol Park, "High Performance Text Categorization System Based on a Novel Neural Network Algorithm," Computer and Information Technology, International Conference on, pp. 21, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006.

	BibTex	x
	@article{ 10.1109/CIT.2006.98, author = {Cheng Hua Li and Soon Cheol Park}, title = {High Performance Text Categorization System Based on a Novel Neural Network Algorithm}, journal ={Computer and Information Technology, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2687-X}, pages = {21}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2006.98}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Technology, International Conference on TI - High Performance Text Categorization System Based on a Novel Neural Network Algorithm SN - 0-7695-2687-X SP EP A1 - Cheng Hua Li, A1 - Soon Cheol Park, PY - 2006 KW - null VL - 0 JA - Computer and Information Technology, International Conference on ER -

Cheng Hua Li, Chonbuk National University, Korea

Soon Cheol Park, Chonbuk National University, Korea

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2006.98

This paper describes a novel approach for text categorization based on the improved Backpropagation neural network (BPNN). BPNN has been widely used in classification and pattern recognition. However it has some generally acknowledged defects, such as slow convergence and easy to enter into local minima. In this paper, we introduce an improved BPNN that can overcome these defects. We tested the improved model on the standard Reuter-21578, and the result shows that the proposed model is able to achieve high categorization effectiveness as measured by the precision, recall and F-measure.

Citation:

Cheng Hua Li, Soon Cheol Park, "High Performance Text Categorization System Based on a Novel Neural Network Algorithm," cit, pp.21, Sixth IEEE International Conference on Computer and Information Technology (CIT'06), 2006

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