[Research] Professors Park Eun-il and Han Jin-Young’s Research Team at the College of Software Research Way to Diagnose and Respond to Mental Illness Through Social Media
- College of Software and Engineering
- Hit843
- 2020-08-18
Professors Park Eun-il and Han Jin-Young’s Research Team at the College of Software
Research Way to Diagnose and Respond to Mental Illness Through Social Media
Professors Park Eun-il and Han Jin-young research team at the College of Software (with master's course student Kim Ji-na and master’s/doctor integrated course student Lee Ji-eon) announced that they published a paper in the July issue of Scientific Reports entitled “Deep Learning Model for Predicting Mental Diseases through Social Media”.
Through their research, the team introduced deep learning-based artificial intelligence models to diagnose mental illness early and respond to it and suggested the direction of future research.
The research team developed a deep learning model that identifies various mental illnesses based on posts written by social media users to share their feelings. The artificial intelligence model presented an innovative result in identifying the mental disorders (e.g., depression, anxiety, bipolar disorder, schizophrenia, etc.) the users who wrote the posts were associated with.
The research team used 633,385 Reddit posts, one of the largest social media platforms, and utilized deep learning classification models based on convolutional neural networks. Over 96% of those with the Autism Spectrum Disorder and a minimum of 75% with other mental disorders can be detected by the model.
Convolutional Neural Network-Based Classification Model Structure
The collected posts were expressed as a corpus to vectors using Word2vec, a representative vocabulary embedding technique, and a mental classification model was designed using the convolutional neural network.
“Mental illness has recently emerged as a new social problem,” the research team said, “Utilizing the social media data created by users will greatly help us predict and treat mental illness early.”
The research was conducted under strict management through IRB approval procedures, in consideration of the recent ethical debate over the utilization of big data in the information age.
Based on this research, in the future the research team will develop a deep learning model that predicts potential mental illness using Korean text.