Bengali Social Media Depressive Dataset (BSMDD)
Published: 14 October 2024| Version 1 | DOI: 10.17632/pdtyb7df6z.1
Contributors:
, , , , , , Description
Our dataset, BSMDD, was collected from various open social media platforms and translated and annotated by native Bengali speakers with expertise in both language and mental health. It contains 21,910 cleaned samples, including 10,961 labeled as Depressed and 10,949 as Non-Depressed. The dataset is publicly accessible, providing a valuable resource for further research in depression detection in Bengali social media content. The expert annotation process, conducted by professionals, ensures high validity, making BSMDD particularly important for advancing mental health research through social media analysis.
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Institutions
Ahsanullah University of Science and Technology
Categories
Depression, Social Media, Bengali Language