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Text Categorization prior to Indexing for the CISMEF Health Catalogue

  • Alexandrina Rogozan
  • Aurélie Néveol
  • Stefan J. Darmoni
Conference paper
  • 441 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)

Abstract

This paper is positioned within the development of an automated indexing system for the CISMeF quality controlled health gateway. For disambiguation purposes, we wish to perform text categorization prior to indexing. Hence, a global approach contrasting with the classical analytical methods based on the analysis of keyword counts extracted from the text is necessary. The use of statistical compression models enables us to proceed avoiding keyword extraction at this stage. Preliminary results show that althought this method is not as precise as others in terms of resource categorization, it can significantly benefit indexing.

Keywords

Support Vector Machine Text Categorization Medical Context Compression Model Automatic Indexing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Alexandrina Rogozan
    • 1
  • Aurélie Néveol
    • 1
    • 2
  • Stefan J. Darmoni
    • 1
    • 2
  1. 1.PSI LaboratoryFRE 2645 CNRS – INSA de RouenSaint-Etienne-du-RouvrayFrance
  2. 2.CISMeF et L@sticsRouen University Hospital and Rouen Medical SchoolRouenFrance

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