Syeda Fiza Rubab, Muhammad Faheem Mushtaq, Muhammad Hussain Tahir, Amna, Ali Samad, Ghulam Gilanie, Muhammad Ghulam Ghouse. The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis. In Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy, Nureize Arbaiy, editors, Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event. Volume 457 of Lecture Notes in Networks and Systems, pages 371-379, Springer, 2022. [doi]
@inproceedings{RubabMTASGG22,
title = {The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis},
author = {Syeda Fiza Rubab and Muhammad Faheem Mushtaq and Muhammad Hussain Tahir and Amna and Ali Samad and Ghulam Gilanie and Muhammad Ghulam Ghouse},
year = {2022},
doi = {10.1007/978-3-031-00828-3_37},
url = {https://doi.org/10.1007/978-3-031-00828-3_37},
researchr = {https://researchr.org/publication/RubabMTASGG22},
cites = {0},
citedby = {0},
pages = {371-379},
booktitle = {Recent Advances in Soft Computing and Data Mining - Proceedings of the Fifth International Conference on Soft Computing and Data Mining (SCDM 2022), May 30-31, 2022, Virtual Event},
editor = {Rozaida Ghazali and Nazri Mohd Nawi and Mustafa Mat Deris and Jemal H. Abawajy and Nureize Arbaiy},
volume = {457},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-031-00828-3},
}