Large scale biomedical texts classification: a kNN and an ESA-based approaches.

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: With the large and increasing volume of textual data, automated methods for identifying significant topics to classify textual documents have received a growing interest. While many efforts have been made in this direction, it still remains a real challenge. Moreover, the issue is even more complex as full texts are not always freely available. Then, using only partial information to annotate these documents is promising but remains a very ambitious issue.

Authors

  • Khadim Dramé
    University of Bordeaux, ERIAS, Centre INSERM U897, F-33000, Bordeaux, France. khadim.drame@u-bordeaux.fr.
  • Fleur Mougin
    Université Bordeaux, ISPED, Centre INSERM U897, ERIAS, France.
  • Gayo Diallo
    University of Bordeaux, INSERM U897, F-33000, Bordeaux, France.