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Sistema Inmune Artificial Basado en Teoría de la Información para la Extracción de Palabras Clave de Documentos de Texto.

Author(s): Andrés Romero | Fernando Niño

Journal: Avances en Sistemas e Informática
ISSN 1657-7663

Volume: 4;
Issue: 2;
Start page: 25;
Date: 2007;
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Keywords: Keyword Extraction | Artificial Immune Systems | Information Theory

This paper presents a model for keyword extraction, extending the basic concepts commonly used in this task, in order to get a formal background that allows determining the importance of the keywords to the documents. The proposed model combines an artificial immune system with a mathematical background based on information theory; this new model has the advantage that does not need any domain knowledge, neither the use of a stopword list or any previous information about the content of the documents. The final result is a set of keywords for each category into the corpus used.
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