Bangla Twitter Dataset for Depression Analysis: Categorizing Emotions from Social Media Texts

The "Bangla Twitter Dataset for Depression Analysis: Categorizing Emotions from Social Media Texts" dataset is a comprehensive multi-label collection of Bangla-language tweets curated to analyze depressive tendencies and emotional states in social media texts. This dataset categorizes tweets into four distinct emotional labels: depressive, simple negative, neutral, and positive. It is specifically designed to facilitate research in mental health monitoring, sentiment analysis, and natural language processing for Bangla. By providing annotated examples across a spectrum of emotional expressions, BDSNP serves as a valuable tool for developing models that can detect and analyze depression and mood variations in Bangla social media content.