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A Non-Linear Topic Detection Method for Text Summarization Using Wordnet

Carlos N. Silla Jr.Celso A. A. KaestnerAlex A. Freitas

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.

http://www.lbd.dcc.ufmg.br/colecoes/til/2003/0011.pdf

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