Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme

The current population worldwide extensively uses social media to share thoughts, societal issues, and personal concerns. Social media can be viewed as an intelligent platform that can be augmented with a capability to analyze and predict various issues such as business needs, environmental needs, e...

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Detalles Bibliográficos
Autores principales: Kandasamy, Venkatachalam, Trojovský, Pavel, Machot, Fadi Al, Kyamakya, Kyandoghere, Bacanin, Nebojsa, Askar, Sameh, Abouhawwash, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623208/
https://www.ncbi.nlm.nih.gov/pubmed/34833656
http://dx.doi.org/10.3390/s21227582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623208/
https://www.ncbi.nlm.nih.gov/pubmed/34833656
http://dx.doi.org/10.3390/s21227582

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