Leveraging Social Media Slang for Sustainable Anxiety Prediction

Machine Learning Meets Mental Health: Dual Feature Engineering in Anxiety Prediction

Authors

  • Hema Subramaniam Dept. SE, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya
  • Nornazlita Hussin Dept. CST, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya
  • Raja Jamilah Raja Yusof Dept. SE, Faculty of Computer Science and Information Technology (FCSIT), Universiti Malaya

Keywords:

Achievement, Event, People, Research, Multimedia, Software Engineering

Abstract

Breaking new ground with innovative approach to mental health assessment, our "Leveraging Social Media Slang for Sustainable Anxiety Prediction Through Dual Feature Engineering" research project explores how informal language used on social platforms can be harnessed to improve anxiety prediction models.

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Published

2024-09-28

Issue

Vol. 1 No. 1 (2024): Komputika Newsletter September 2024

Section

Articles

How to Cite

Leveraging Social Media Slang for Sustainable Anxiety Prediction: Machine Learning Meets Mental Health: Dual Feature Engineering in Anxiety Prediction. (2024). Komputika Newsletter, 1(1). https://juku.um.edu.my/index.php/komputika/article/view/71628

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