Abstract. This paper documents a methodology based in text mining for the automated classification of scientific papers upon a specific taxonomy of knowledge areas. It is proposed that keywords, as part of texts’ metadata, were used for algorithm training and respective abstracts used for testing. Test results showed good potential for further application in the real world.