This is a mental health classification model fine-tuned based on DistilBERT, specifically designed to analyze mental health-related signals in social media texts (such as tweets and Reddit posts). The model can classify texts into five categories: depression, anxiety, suicidal thoughts, happiness, and neutral/daily, aiming to help identify individuals at risk of mental health problems.
Natural Language Processing
TransformersEnglish