A multi-objective genetic algorithm for text feature selection using the relative discriminative criterion

Mahdieh Labani, Parham Moradi, Mahdi Jalili

Abstract: Highlights•A multi-objective feature selection method called MORDC is proposed for text classification tasks.•The relevancy of features is computed by using the RDC metric, which is specifically designed for text categorization tasks.•The relevancy of features is computed by using the text specific RDC metric•MORDC selects maximum relevant and minimum redundant features.•MORDC does not employ any learning model to evaluate the effectiveness of selected features.•The results show that MORDC outperforms the other methods.