Kandasamy, V.; Trojovský, P.; Machot, F.A.; Kyamakya, K.; Bacanin, N.; Askar, S.; Abouhawwash, M.
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. Sensors 2021, 21, 7582.
https://doi.org/10.3390/s21227582
AMA Style
Kandasamy V, Trojovský P, Machot FA, Kyamakya K, Bacanin N, Askar S, Abouhawwash M.
Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. Sensors. 2021; 21(22):7582.
https://doi.org/10.3390/s21227582
Chicago/Turabian Style
Kandasamy, Venkatachalam, Pavel Trojovský, Fadi Al Machot, Kyandoghere Kyamakya, Nebojsa Bacanin, Sameh Askar, and Mohamed Abouhawwash.
2021. "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, no. 22: 7582.
https://doi.org/10.3390/s21227582
APA Style
Kandasamy, V., Trojovský, P., Machot, F. A., Kyamakya, K., Bacanin, N., Askar, S., & Abouhawwash, M.
(2021). 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.
https://doi.org/10.3390/s21227582