Natural Language Processing for Mental Health



Research areas


Predicting people on risk due to mental health issues is a serious and difficult task for humans and machines. People talk about their mental health issues on online forums and social media platforms. This project is about using Natural Language Processing and Deep Learning for the classification of social media content into different severity levels related to mental health.


Familiarity with linear algebra, probability, and basic knowledge of machine learning. Knowledge on deep learning would be a plus. Good coding skills in Python.

Background Literature



Gain a good understanding of deep learning models for natural language processing, and learn how to implement and apply these techniques in a research project.


Natural Language Processing, Machine learning, Artificial intelligence, Mental health

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing