This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2226) Depression and Mood Disorders; Suicide Prevention (1290) Machine Learning (1400) Artificial Intelligence (1214) Natural Language Processing (650) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Methods and New Tools in Mental Health Research (428)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36118, first published .
Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques

Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques

Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques

Authors of this article:

Muhammad Khubayeeb Kabir1 Author Orcid Image ;   Maisha Islam1 Author Orcid Image ;   Anika Nahian Binte Kabir1 Author Orcid Image ;   Adiba Haque1 Author Orcid Image ;   Md Khalilur Rhaman2 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Muhammad Khubayeeb Kabir   1 * , BSc ;   Maisha Islam   1 * , BSc ;   Anika Nahian Binte Kabir   1 * , BSc ;   Adiba Haque   1 * , BSc ;   Md Khalilur Rhaman   2 , BSc, MSc, PhD

1 Department of Computer Science, Brac University, Dhaka, Bangladesh

2 Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh

*these authors contributed equally

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