Sentence Level Analysis for Detecting Mental Health Causes Using Social Media Posts

Mental health is just as important as physical health. Globally, there is a growing concern due to the rise of mental health problems. Mental health problems impair individuals’ ability to think clearly, behave responsively, or express themselves. The recent pandemic has led to a spike in people using social media to express themselves. Data from these social media platforms can be used to learn more about users’ mental states and determine the causes of mental health problems. However, due to the variability and complexity of users’ language, it is very challenging for conventional machine learning and deep learning models to identify these causes. In this research, we propose a novel sentence-level analysis framework based on a hybrid deep learning model to overcome these challenges. We evaluated our model’s efficacy using data from the social media platform Reddit, and our model outperforms several baseline models. Our research findings provide a new perspective on identifying the causes behind mental health issues and would help mental health professionals develop better diagnoses and treatments for patients.