"Sentimental Analysis of COVID-19 Related Messages in Social Networks by ..."

Venkatachalam Kandasamy et al. (2021)

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DOI: 10.3390/S21227582

access: open

type: Journal Article

metadata version: 2022-01-21

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  - https://dblp.org/rec/journals/sensors/KandasamyTMKBAA21
Venkatachalam Kandasamy, Pavel Trojovský, Fadi Al Machot, Kyandoghere Kyamakya, Nebojsa Bacanin, Sameh S. Askar, Mohamed Abouhawwash:
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. Sensors 21(22): 7582 (2021)

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