Mental Health Sentiment Analysis Platform

Build an advanced natural language processing system for analyzing mental health text data from multiple sources (therapy notes, patient journals, social media). Use transformer models like BERT to detect emotional states, potential mental health risks, and sentiment progression. Implement a multi-stage analysis pipeline with privacy-preserving techniques, supporting early intervention risk scoring. Create a modular framework allowing customization for different mental health domains and patient populations.