Keyword extraction using an artificial immune system

Authors:
Andres Romero;Fernando Nino
Affiliations:
National University of Colombia, Bogota, Colombia;National University of Colombia, Bogota, Colombia
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

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Abstract

This paper presents a model for keyword extraction which combines an artificial immune system with a mathematical background based on information theory. The proposed approach does not need any domain knowledge, neither the use of a stopword list. The output is a set of keywords for each of the categories into the corpus used.