A text categorisation framework based on concept lattice and cellular automata

Hichem Benfriha, Fatiha Barigou and Baghdad Atmani

International Journal of Data Science, 2016, vol. 1, issue 3, 227-246

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.

Keywords: text categorisation; concept lattices; Boolean inference engine; cellular automata; symbolic induction; modelling; Galois lattices. (search for similar items in EconPapers)
Date: 2016
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