Silla Jr, Carlos N. and Kaestner, Celso A.A. and Freitas, A.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.
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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:||18 Jul 2012 08:52|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/13897 (The current URI for this page, for reference purposes)|
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