An efficient approach to detecting mental illness on online social media platforms by using multidimensional textual features

The integration of multidimensional textual features significantly enhances the accuracy and generalizability of mental illness detection models. Our approach provides a promising direction for future research and practical applications in mental health monitoring on social media platforms.