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

Journals

  1. Garg M. Towards Mental Health Analysis in Social Media for Low-resourced Languages. ACM Transactions on Asian and Low-Resource Language Information Processing 2024;23(3):1 View
  2. Zhang W, Kong L, Lee S, Chen Y, Zhang G, Wang H, Song M. Detecting mental and physical disorders using multi-task learning equipped with knowledge graph attention network. Artificial Intelligence in Medicine 2024;149:102812 View
  3. Turjo M, Mundada K, Haque N, Ahmed N. Beyond Posts: A Protocol to Predict the Transition from Depression to Suicidal Ideation among Indo-Bangladeshi Individuals Using Facebook Data (Preprint). JMIR Research Protocols 2023 View
  4. Khan A, Ali R. Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media. Social Network Analysis and Mining 2024;14(1) View
  5. Hoque M, Salma U, Uddin M, Shampa S. Depression Intensity Identification using Transformer Ensemble Technique for the Resource-constrained Bengali Language. Journal of Engineering Advancements 2024:27 View
  6. van Buchem M, de Hond A, Fanconi C, Shah V, Schuessler M, Kant I, Steyerberg E, Hernandez-Boussard T. Applying natural language processing to patient messages to identify depression concerns in cancer patients. Journal of the American Medical Informatics Association 2024 View

Books/Policy Documents

  1. Gorrab A, Ben Rabah N, Le Grand B, Deneckère R, Bonnerot T. Advanced Information Networking and Applications. View