Document representation using global association distance model

Authors:
José E. Medina-Pagola;Ansel Y. Rodríguez;Abdel Hechavarría;José Hernández Palancar
Affiliations:
Advanced Technologies Application Center, Havana City, Cuba;Advanced Technologies Application Center, Havana City, Cuba;Advanced Technologies Application Center, Havana City, Cuba;Advanced Technologies Application Center, Havana City, Cuba
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

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Abstract

Text information processing depends critically on the proper representation of documents. Traditional models, like the vector space model, have significant limitations because they do not consider semantic relations amongst terms. In this paper we analyze a document representation using the association graph scheme and present a new approach called Global Association Distance Model (GADM). At the end, we compare GADM using K-NN classifier with the classical vector space model and the association graph model.