Open Access
ARTICLE
Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration
1 Department of Computer Science, City University of Science and Information Technology, Peshawar, 25000, Pakistan
2 EIAS: Data Science and Blockchain Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia
3 School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, China
* Corresponding Authors: Muhammad Arshad. Email: ; Sadique Ahmad. Email: