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
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-09-01
Serija:	Biomimetics
Teme:	DBO algorithm deep learning social media sentiment analysis natural disaster tweets emergency management
Online dostop:	https://www.mdpi.com/2313-7673/9/9/533
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