Abstract
A text classification method using Kohonen’s Self Organizing Network is presented here. The proposed method can classify a set of text documents into a number of classes depending on their contents where the number of such classes is not known a priori. Text documents from various faculties of games are considered for experimentation. The method is found to provide satisfactory results for large size of data.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chowdhury, N., Saha, D. (2005). Unsupervised Text Classification Using Kohonen’s Self Organizing Network. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_79
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DOI: https://doi.org/10.1007/978-3-540-30586-6_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
Online ISBN: 978-3-540-30586-6
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