Using Links to Aid Web Classification

Melbourne, Australia July 11-July 13

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http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.191

6th IEEE/ACIS International Conferenc ...

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	ASCII Text	x
	Wei Xie, Musa Mammadov, John Yearwood, "Using Links to Aid Web Classification," Computer and Information Science, ACIS International Conference on, pp. 981-986, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.

	BibTex	x
	@article{ 10.1109/ICIS.2007.191, author = {Wei Xie and Musa Mammadov and John Yearwood}, title = {Using Links to Aid Web Classification}, journal ={Computer and Information Science, ACIS International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2841-4}, pages = {981-986}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.191}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Information Science, ACIS International Conference on TI - Using Links to Aid Web Classification SN - 0-7695-2841-4 SP981 EP986 A1 - Wei Xie, A1 - Musa Mammadov, A1 - John Yearwood, PY - 2007 KW - null VL - 0 JA - Computer and Information Science, ACIS International Conference on ER -

Wei Xie, University of Ballarat, Australia

Musa Mammadov, University of Ballarat, Australia

John Yearwood, University of Ballarat, Australia

In this paper, we will present a new approach of using link information to improve the accuracy and efficiency of Web Classification. However, different from others, we only use the mappings between linked documents and their own class or classes. In this case, we only need to add a few features called linked-class features into the datasets. We apply SVM and BoosTexter for classification.

We show that the classification accuracy can be improved based on mixtures of ordinary word features and out-linked-class features. We analyze and discuss the reason of this improvement.

Citation:

Wei Xie, Musa Mammadov, John Yearwood, "Using Links to Aid Web Classification," icis, pp.981-986, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

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