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

The Internet’s development has prompted social media to become an essential channel for disseminating disaster-related information. Increasing the accuracy of emotional polarity recognition in tweets is conducive to the government or rescue organizations understanding the public’s demands and respon...

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Principais autores: Guangyu Mu, Jiaxue Li, Xiurong Li, Chuanzhi Chen, Xiaoqing Ju, Jiaxiu Dai
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-09-01
coleção:Biomimetics
Assuntos:
DBO algorithm
deep learning
social media
sentiment analysis
natural disaster tweets
emergency management
Acesso em linha:https://www.mdpi.com/2313-7673/9/9/533
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