Max-difference maximization criterion: a feature selection method for text categorization  

作　　者：Lingbin JIN Li ZHANG Lei ZHAO 

机构地区：[1]School of Computer Science and Technology&Advanced Data Analysis Research Center,Soochow University,Suzhou 215006,China

出　　处：《Frontiers of Computer Science》2023年第1期237-239,共3页中国计算机科学前沿（英文版）

基　　金：supported in part by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(19KJA550002).

摘　　要：1 IntroductionText categorization methods based on machine learning always encounter the curse of dimensionality. Therefore, it is crucial to perform feature selection to reduce dimensionality of text vectors. Methods based on the difference between document rate of a term in the positive class and that in the negative class have been widely studied in recent years, which is originated from balanced accuracy measures (ACC2) [1].

关 键 词：dimensionality DIFFERENCE CRITERION 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]