BDSNP (Bangla Depressive-Simple Negative-Neutral-Positive): A Multi-Label Bangla Twitter Dataset for Depression Analysis from Social Media Texts

Published: 28 August 2024| Version 1 | DOI: 10.17632/xd6rhyw3n5.1
Contributor:
Abdul Hasib Uddin

Description

The **BDSNP (Bangla Depressive-Simple Negative-Neutral-Positive)** dataset is a comprehensive multi-label collection of Bangla-language tweets curated for the analysis of 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.

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Institutions

  • Khulna University

Categories

Depression, Social Media, Natural Language Processing, Text Processing, Twitter

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