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

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

Books/Policy Documents

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