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MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification.

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第一作者： Guangyu,Mu

第一单位： School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China.;Key Laboratory of Financial Technology of Jilin Province, Changchun 130117, China.

作者： Guangyu,Mu ^[1] ; Jiaxue,Li ^[2] ; Zhanhui,Liu ^[3] ; Jiaxiu,Dai ^[2] ; Jiayi,Qu ^[2] ; Xiurong,Li ^[4]

作者单位： School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China.;Key Laboratory of Financial Technology of Jilin Province, Changchun 130117, China. ^[1] School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China. ^[2] Changchun Community Official Staff College of Jilin Province, Changchun 130052, China. ^[3] Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. ^[4]

关键词 black-winged kite algorithm emergency response feature selection machine learning natural disaster tweets social media platform

DOI 10.3390/biomimetics10010041

PMID 39851757

发布时间 2025-01-30

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MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification.

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MSBKA: A Multi-Strategy Improved Black-Winged Kite Algorithm for Feature Selection of Natural Disaster Tweets Classification.

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