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

Silla Jr, Carlos N., Kaestner, Celso A.A., Freitas, Alex A. (2003) A non-linear topic detection method for text summarization using Wordnet. In: Nunes, Maria da Graça Volpes and Aluisio, S.M. and Oliveira, L.H.M. and Teles, J.A., eds. Proc. I Workshop em Tecnologia da Informacao e Linguagem Humana. . ICMC-USP, Brazil (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:13897)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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.

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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:00 UTC
Last Modified: 16 Feb 2021 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/13897 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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