Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets

Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets

Abstract Social networks are popular for advertising, idea sharing, and opinion formation. Due to COVID-19, coronavirus information disseminated on social media affects people’s lives directly. Individuals sometimes managed it well, but it often hampered daily activities. As a result, analyzing peop...

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Bibliographic Details
Main Authors: Naglaa Abdelhady, Taysir Hassan A. Soliman, Mohammed F. Farghally
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Arabic sentiment analysis
BiLSTM
CNN
COVID-19
Ensemble Learning
LSTM
Online Access:https://doi.org/10.1186/s13677-024-00644-6

Internet

https://doi.org/10.1186/s13677-024-00644-6

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