Improving imbalanced scientific text classification using sampling strategies and dictionaries

Improving imbalanced scientific text classification using sampling strategies and dictionaries

L., Borrajo;R., Romero;L., Iglesias E.;Redondo, Marey C. M.;
journal of integrative bioinformatics 2011 Vol. 8 pp. 90-104
232
l2011improvingjournal

Abstract

Many real applications have the imbalanced class distribution problem, where one of the classes is represented by a very small number of cases compared to the other classes. One of the systems affected are those related to the recovery and classification of scientific documentation.

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