Max-difference maximization criterion: A feature selection method for text categorization
For text categorization, it is necessary to select a set of features(terms) with high discrimination by using feature selection. In text feature selection, Accuracy2(ACC2)treats terms with same absolute document rate difference but different discrimination equally, which is unreasonable. Existing improved methods (normalized difference measure(NDM), max-min ratio(MMR)and trigonometric comparison measure(TCM)) based on ACC2 may confuse the importance of rare and sparse terms on account of challenge for parameter selection.
To solve the problems, a research team led by Li Zhang published their new research on 15 February 2023 in Frontiers of Computer Science co-published ...









