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A text categorisation framework based on concept lattice and cellular automata

Author

Listed:
  • Hichem Benfriha
  • Fatiha Barigou
  • Baghdad Atmani

Abstract

We propose a new text categorisation framework based on concepts lattice and cellular automata. The model is based on the mathematical properties of concept lattices. However, the complexity of generating a concept lattice and using it for text categorisation where data are huge puts a constraint to its applicability. To deal with this problem, through this paper we suggest modelling the Galois lattices by a cellular automaton. We tested the time categorisation of the proposed method on two different corpora: the results show an improvement over the standard Galois lattices.

Suggested Citation

  • Hichem Benfriha & Fatiha Barigou & Baghdad Atmani, 2016. "A text categorisation framework based on concept lattice and cellular automata," International Journal of Data Science, Inderscience Enterprises Ltd, vol. 1(3), pages 227-246.
    • Handle: RePEc:ids:ijdsci:v:1:y:2016:i:3:p:227-246
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