%0 Journal Article
%T Sistema Inmune Artificial Basado en Teor¨ªa de la Informaci¨®n para la Extracci¨®n de Palabras Clave de Documentos de Texto.
%A Andr¨¦s Romero
%A Fernando Ni£¿o
%J Avances en Sistemas e Inform¨¢tica
%D 2007
%I 
%X 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.
%K Keyword Extraction
%K Artificial Immune Systems
%K Information Theory
%U http://pisis.unalmed.edu.co/avances/archivos/ediciones/Edicion%20Avances%202007%202/03.pdf