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Natural Language Processing for Mental Health
People
Supervisor
Research areas
Description
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.
Requirements
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
- Milne, David N., Pink, Glen, Hachey, Ben, Calvo, Rafael A. "CLPsych 2016 Shared Task: Triaging content in online peer-support forums". Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology", 2016,
- CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts
Gain
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.
Keywords
Natural Language Processing, Machine learning, Artificial intelligence, Mental health
