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

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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Bibliographic Details
Main Authors: Guangyu Mu, Jiaxue Li, Xiurong Li, Chuanzhi Chen, Xiaoqing Ju, Jiaxiu Dai
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Biomimetics
Subjects:
DBO algorithm
deep learning
social media
sentiment analysis
natural disaster tweets
emergency management
Online Access:https://www.mdpi.com/2313-7673/9/9/533
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