Lattice-cell : Hybrid approach for text categorization
Information Retrieval
2013-11-19 v1
Abstract
In this paper, we propose a new text categorization framework based on Concepts Lattice and cellular automata. In this framework, concept structure are modeled by a Cellular Automaton for Symbolic Induction (CASI). Our objective is to reduce time categorization caused by the Concept Lattice. We examine, by experiments the performance of the proposed approach and compare it with other algorithms such as Naive Bayes and k nearest neighbors. The results show performance improvement while reducing time categorization.
Keywords
Cite
@article{arxiv.1311.4151,
title = {Lattice-cell : Hybrid approach for text categorization},
author = {Hichem Benfriha and Fatiha Barigou and Baghdad Atmani},
journal= {arXiv preprint arXiv:1311.4151},
year = {2013}
}
Comments
Computer Science & Information Technology (CS & IT) 2013