Hybrid feature selection based on enhanced genetic algorithm for text categorization

作者：

Highlights：

• An enhanced genetic algorithm (EGA) is proposed to reduce text dimensionality.

• The proposed EGA outperformed the traditional genetic algorithm.

• The EGA is incorporated with six filter feature selection methods to create hybrid feature selection approaches.

• The proposed hybrid approaches outperformed the single filtering methods.

摘要

•An enhanced genetic algorithm (EGA) is proposed to reduce text dimensionality.•The proposed EGA outperformed the traditional genetic algorithm.•The EGA is incorporated with six filter feature selection methods to create hybrid feature selection approaches.•The proposed hybrid approaches outperformed the single filtering methods.

论文关键词：Hybrid feature selection,Enhanced genetic algorithm,Filter feature selection,Text categorization

论文评审过程：Received 5 August 2014, Revised 30 November 2015, Accepted 1 December 2015, Available online 14 December 2015, Version of Record 4 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.004