CS-BPSO: Hybrid feature selection based on chi-square and binary PSO algorithm for Arabic email authorship analysis

标题
CS-BPSO: Hybrid feature selection based on chi-square and binary PSO algorithm for Arabic email authorship analysis
作者
关键词
Swarm intelligence, Particle swarm optimization (PSO), Hybrid feature selection, Short texts, Chi-square, Arabic email text, Forensic analysis
出版物
KNOWLEDGE-BASED SYSTEMS
Volume 227, Issue -, Pages 107224
出版商
Elsevier BV
发表日期
2021-06-12
DOI
10.1016/j.knosys.2021.107224

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