Unsupervised text classification using kohonen's self organizing network

  • Authors:
  • Nirmalya Chowdhury;Diganta Saha

  • Affiliations:
  • Department of Computer Science and Engineering, Jadavpur University, Kolkata, India;Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

  • Venue:
  • CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2005

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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.