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An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets.

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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] ; Xiurong,Li ^[3] ; Chuanzhi,Chen ^[2] ; Xiaoqing,Ju ^[2] ; Jiaxiu,Dai ^[2]

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] Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. ^[3]

关键词 DBO algorithm deep learning emergency management natural disaster tweets sentiment analysis social media

DOI 10.3390/biomimetics9090533

PMID 39329555

发布时间 2024-09-29

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An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets.

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An Enhanced IDBO-CNN-BiLSTM Model for Sentiment Analysis of Natural Disaster Tweets.

Biomimetics (Basel, Switzerland)

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Biomimetics (Basel, Switzerland)

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