Document classification and recurrent neural networks

  • Authors:
  • Jennifer Farkas

  • Affiliations:
  • Industry Canada, Centre for Information Technology Innovation (CITI) 1575 Chomedey Boulevard Laval, Québec H7V 2X2

  • Venue:
  • CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
  • Year:
  • 1995

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Abstract

The paper describes an automatic document classification system called NeuroClass, developed for the Air Transportation Field of Transport Canada. NeuroClass is a working classification tool for natural language text, based on recurrent neural network technology. In laboratory tests, it outperformed prototypes developed with other neural network paradigms.