A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing

A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing

Abstract The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) model that integrates Bidirectional Encode...

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Bibliographic Details
Main Authors: Md. Alamin Talukder, Md. Ashraf Uddin, Suman Roy, Partho Ghose, Smita Sarker, Ansam Khraisat, Mohsin Kazi, Md Momtazur Rahman, Musawer Hakimi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Sentiment analysis
Deep learning
BERT
LSTM
Tweets
COVID-19
Online Access:https://doi.org/10.1038/s41598-025-97778-7
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