Author Profiling Based on Social Media Text Messages using Machine Learning
Zeeshan Chan, Department of Computer Software Engineering, University of Engineering and Technology, Mardan, Pakistan.
Sadaqat Jan, Department of Computer Software Engineering, University of Engineering and Technology, Mardan, Pakistan.
Ibrar Ali Shah, Department of Computer Software Engineering, University of Engineering and Technology, Mardan, Pakistan.
Corresponding Author:
Sadaqat Jan (sadaqat@uetmardan.edu.pk)
Abstract:
Author Profiling (AP), in the world of social media analysis is an area that focuses on predicting user characteristics based on their written content. Through an examination of 55 research papers, we have explored the landscape of AP considering factors such as context, ethics and the importance of combining features effectively. Author Profiling (AP), in the domain of social media is a sensitive field that focuses on predicting user characteristics based on the written content. Additionally, we have refined how structural form and important literature methods are interrelated and prestige the decorum of bode seniority and kind. We have also addressed defiance narrated to data temper contention across domains and ethical dilemmas, in a substantial look. In increase to discuss rigorous analysis, regularly used term (NLP), and their alignment with festive media analysis, we investigate a nuanced visual on the powerful applications of AP across separate languages and domains. This reconsider furnishes an inestimable means for researchers, practitioners, and policymakers, provide an extensive and up-to-place depiction of AP’s complicate and transformative landscape.
Keywords:
Author Profiling; Social Media Analysis; Textual Data; Machine Learning Algorithms; Age Prediction; Gender Prediction; Linguistic Features.