Improving imbalanced scientific text classification using sampling strategies and dictionaries

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.