Term-weighting learning via genetic programming for text classification

作者：

Highlights：

• A new method for learning term-weighting schemes is proposed.

• A genetic program searches for the scheme that maximizes classification performance.

• The method is evaluated in text and image categorization, and authorship attribution.

摘要

•A new method for learning term-weighting schemes is proposed.•A genetic program searches for the scheme that maximizes classification performance.•The method is evaluated in text and image categorization, and authorship attribution.

论文关键词：Term-weighting learning,Genetic programming,Text mining,Representation learning,Bag of words

论文评审过程：Received 16 December 2014, Revised 16 March 2015, Accepted 19 March 2015, Available online 28 March 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.03.025