A text categorisation framework based on concept lattice and cellular automata
by Hichem Benfriha; Fatiha Barigou; Baghdad Atmani
International Journal of Data Science (IJDS), Vol. 1, No. 3, 2016

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.

Online publication date: Tue, 12-Apr-2016

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