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Imitation of the Human Ability of Word Association  
Patrick Uhr1,André Klahold2,Madjid Fathi3
*1, University of Siegen, Email : patrick.uhr@uni-siegen.de
2, University of Siegen, Email : aklahold@informatik.uni-siegen.de
3, University of Siegen, Email : fathi@informatik.uni-siegen.de
 
Abstract .The paper in hand introduces a new concept for imitating the human ability of building word association, henceforth called ’CIMAWA’. We have carried out comprehensive case studies to evaluate the ability for imitating human word association. In this context we have used existing studies to compare and examine the performance of our approach. The results have revealed that CIMAWA imitates human word association very accurately and is superior to existing approaches.
 
Keywords : Asymmetrical Word Association ; Knowledge Discovery from Text ; Text-Mining
 URL: http://dx.doi.org/10.7321/jscse.v3.n3.37  
 
 

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