A novel approach for text categorization by applying hybrid genetic bat algorithm through feature extraction and feature selection methods
作者：
Highlights：
• Application of uncapacitated P-median problem to obtain clustered tweets.
• Applying a novel hybrid genetic bat algorithm on uncapacitated P-median problem.
• Generation of a similarity matrix via Latent Dirichlet Allocation model.
• Determining needs of the victims after an earthquake using Twitter data.
摘要
•Application of uncapacitated P-median problem to obtain clustered tweets.•Applying a novel hybrid genetic bat algorithm on uncapacitated P-median problem.•Generation of a similarity matrix via Latent Dirichlet Allocation model.•Determining needs of the victims after an earthquake using Twitter data.
论文关键词：Bat algorithm,Feature extraction,Feature selection,Genetic algorithm,Uncapacitated P-median problem,Text categorization
论文评审过程：Received 24 March 2020, Revised 23 March 2022, Accepted 26 April 2022, Available online 29 April 2022, Version of Record 2 May 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117433
