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Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

Muhammad Zubair Asghar1, Fazli Subhan2, Muhammad Imran1, Fazal Masud Kundi1, Adil Khan3, Shahboddin Shamshirband4, 5, *, Amir Mosavi6, 7, 8, Peter Csiba8, Annamaria R. Varkonyi Koczy8

1 Institute of Computing and Information Technology, Gomal University, DIKhan, 29050, Pakistan.
2 National University of Modern Languages, Islamabad, Pakistan.
3 Higher Education Commission, Khyber Pakhtunkhwa, Pakistan.
4 Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh, Vietnam.
5 Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam.
6 Kando Kalman Faculty of Electrical Engineering, Obuda University, Budapest, Hungary.
7 Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar, 99423, Germany.
8 Department of Mathematics and Informatics, J. Selye University, Komarno, 94501, Slovakia.

* Corresponding Author: Shahboddin Shamshirband. Email: email.

TSP_CMC_7709.pdf

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