A non-linear topic detection method for text summarization using Wordnet

Silla Jr, Carlos N. and Kaestner, Celso A.A. and Freitas, Alex A. (2003) A non-linear topic detection method for text summarization using Wordnet. In: Proc. I Workshop em Tecnologia da Informacao e Linguagem Humana, Oct 2003, Brazil. (The full text of this publication is not available from this repository)

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Official URL
http://www.cs.kent.ac.uk/pubs/2003/1761

Abstract

This paper deals with the problem of automatic topic detection in text documents. The proposed method follows a non-linear approach. The method uses a simple clustering algorithm to group the semantically-related sentences. The distance between two sentences is calculated based on the distance between all nouns that appear in the sentences. The distance between two nouns is calculated using the Wordnet thesaurus. An automatic text summarization system using a topic strength method was used to compare the results achieved by the Text Tiling Algorithm and the proposed method. The obtained initial results shows that the proposed method is a promising approach.

Item Type: Conference or workshop item (UNSPECIFIED)
Uncontrolled keywords: text mining, text summarization, Wordnet
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00
Last Modified: 13 Jun 2014 13:15
Resource URI: http://kar.kent.ac.uk/id/eprint/13897 (The current URI for this page, for reference purposes)
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