Research on Sentimental Analysis on Mental Health Using Social Media

This project investigates the use of machine learning and natural language processing techniques in sentiment analysis of mental health discussions on social media platforms. By employing both traditional methods and advanced deep learning models such as LSTM and BERT, the study aims to achieve precise sentiment classification. The insights gained are intended to support mental health advocacy and strategy development. Future work will focus on improving model robustness and incorporating multi-modal data for enhanced sentiment detection