Keyword extraction using an artificial immune system
Andrés Romero, Fernando Niño · 2007
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.