A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing
- DOI
- 10.1038/s41598-025-97778-7
- Published
- 2025-07-30
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-97778-7,
title = {A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing},
author = {Md. Alamin Talukder and Md. Ashraf Uddin and Suman Roy and Partho Ghose and Smita Sarker and Ansam Khraisat and Mohsin Kazi and Md Momtazur Rahman and Musawer Hakimi},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-97778-7},
url = {https://doi.org/10.1038/s41598-025-97778-7}
}RIS
TY - JOUR TI - A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing AU - Md. Alamin Talukder AU - Md. Ashraf Uddin AU - Suman Roy AU - Partho Ghose AU - Smita Sarker AU - Ansam Khraisat AU - Mohsin Kazi AU - Md Momtazur Rahman AU - Musawer Hakimi PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-97778-7 UR - https://doi.org/10.1038/s41598-025-97778-7 ER -
APA
Talukder, M. A., Uddin, M. A., Roy, S., Ghose, P., Sarker, S., Khraisat, A., Kazi, M., Rahman, M. M., & Hakimi, M. (2025). A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing. Scientific Reports. https://doi.org/10.1038/s41598-025-97778-7
Source records
- crossref · retrieved 2026-11-09T14:33:15.346Z