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Article

An Approach for Measuring Semantic Relatedness between Words via Related Terms

by
Mehmet Ali Salahli
Department of Computer Engineering Canakkale On Sekiz Mart University, 17100 Canakkale, Turkey
Math. Comput. Appl. 2009, 14(1), 55-63; https://doi.org/10.3390/mca14010055
Published: 1 April 2009

Abstract

In this paper we propose a new approach for measuring semantic relatedness between words. The semantic relatedness between words are not measured directly, but are computed via set of words highly related to them, which we call the set of determiner words. Our approach for evaluating relatedness belongs to web page counting based measurement methods. We take into account some information, which contains hierarchical and other type of relations between the words. The experimental results demonstrate the effectiveness of proposed method.
Keywords: semantic relatedness; semantic similarity; information based measurement; information content semantic relatedness; semantic similarity; information based measurement; information content

Share and Cite

MDPI and ACS Style

Salahli, M.A. An Approach for Measuring Semantic Relatedness between Words via Related Terms. Math. Comput. Appl. 2009, 14, 55-63. https://doi.org/10.3390/mca14010055

AMA Style

Salahli MA. An Approach for Measuring Semantic Relatedness between Words via Related Terms. Mathematical and Computational Applications. 2009; 14(1):55-63. https://doi.org/10.3390/mca14010055

Chicago/Turabian Style

Salahli, Mehmet Ali. 2009. "An Approach for Measuring Semantic Relatedness between Words via Related Terms" Mathematical and Computational Applications 14, no. 1: 55-63. https://doi.org/10.3390/mca14010055

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