Generating document clusters using thesauri and neural networks

Published 1 January 1994

Farkaš

DOI10.1109/ccece.1994.405850

Citations23

TL;DR

This paper describes the use of thesauri and neural networks for the classification of lexically similar natural language documents and discusses the effect of extending the usual keyword representation of documents to a weighted, thesaurally-based, representation using relations among keywords.

Abstract

In this paper, we describe the use of thesauri and neural networks for the classification of lexically similar natural language documents. We discuss the effect of extending the usual keyword representation of documents to a weighted, thesaurally-based, representation using relations among keywords. We present some experimental results obtained from a neural network prototype that uses Kohonen's self-organizing map paradigm.>

Keywords

Computer Science

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