COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques

The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning the pandemic that has hampered their daily lives. T...

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Detalles Bibliográficos
Autores principales: Jalil, Zunera, Abbasi, Ahmed, Javed, Abdul Rehman, Badruddin Khan, Muhammad, Abul Hasanat, Mozaherul Hoque, Malik, Khalid Mahmood, Saudagar, Abdul Khader Jilani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795663/
https://www.ncbi.nlm.nih.gov/pubmed/35096755
http://dx.doi.org/10.3389/fpubh.2021.812735

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795663/
https://www.ncbi.nlm.nih.gov/pubmed/35096755
http://dx.doi.org/10.3389/fpubh.2021.812735

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