Abstract
This paper shows, through experimental results, that artificial neural networks are good classifiers for the text categorization task. The paper compares the results of experiments on text categorization using Multilayer Perceptron, Self-organizing Maps, C4.5 decision tree and PART decision rules. The experiments were carried out with K1 collection of web documents.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning internal representations by error propagation. In: Rumelhart, D.E., McClelland, J.L. (eds.) Parallel Distributed Processing, vol. 1, pp. 318–362. MIT Press, Cambridge (1986)
Kohonen, T., Kaski, S., Lagus, K., Salojärvi, J., Honkela, J., Paatero, V., Saarela, A.: Self Organization of a Massive Document Collection. IEEE Transaction on Neural Networks 11(3), 574–585 (2000)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (2000)
Boley, D., Gini, M., Gross, R., Han, E., Hastings, K., Karypis, G., Kumar, V., Mobasher, B., Moore, J.: Partitioning-based clustering for web document categorization. Decision Support Systems 27, 329–341 (1999)
Prechelt, L.: Proben1– A Set of Neural Network Benchmark Problems and Benchmarking Rules. Technical Report 21/94, Fakultät für Informatik, Universität Karlsruhe, Germany (1994)
Lin, X., Soergel, D., Marchionini, G.: A self-organizing semantic map for information retrieval. In: Proceedings of the Fourteenth Annual International ACM/SIGIR Conference on Research and Development in Information Retrieval, Chicago, IL, pp. 262–269 (1991)
Strehl, A., Ghosh, J., Mooney, R.: Impact of Similarity Measures on Web-page Clustering. In: Proc. of the 17th National Conference on Artificial Intelligence: Workshop of Artificial Intelligence for Web Search (AAAI 2000), Austin, Texas, July 2000, pp. 58–64 (2000)
Wiener, E., Pedersen, J., Weigend, A.: A Neural Network Approach to Topic Spotting. In: Proceedings of the Fourth Annual Symposium on Document Analysis and Information Retrieval (SIDAIR 1995), Nevada, Las Vegas, pp. 317–332. University of Nevada, Las Vegas (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Corrêa, R.F., Ludermir, T.B. (2004). Web Documents Categorization Using Neural Networks. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_116
Download citation
DOI: https://doi.org/10.1007/978-3-540-30499-9_116
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23931-4
Online ISBN: 978-3-540-30499-9
eBook Packages: Springer Book Archive