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

Peer-to-Peer Support and Online Communities (797) New Methods (1134) Machine Learning (2076) Natural Language Processing (917)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15371, first published .
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study

Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study

Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study

Authors of this article:

Derek Howard1, 2 Author Orcid Image ;   Marta M Maslej1, 2 Author Orcid Image ;   Justin Lee3 Author Orcid Image ;   Jacob Ritchie1, 4 Author Orcid Image ;   Geoffrey Woollard5, 6 Author Orcid Image ;   Leon French1, 2, 7, 8 Author Orcid Image
Article Authors Cited by (36) Tweetations (11) Metrics

Journals

  1. Skaik R, Inkpen D. Using Social Media for Mental Health Surveillance. ACM Computing Surveys 2021;53(6):1 View
  2. Li J, Lu J, Chen C, Ma J, Liao X. Tool wear state prediction based on feature-based transfer learning. The International Journal of Advanced Manufacturing Technology 2021;113(11-12):3283 View
  3. Arpaci I. Predicting problematic smartphone use based on early maladaptive schemas by using machine learning classification algorithms. Journal of Rational-Emotive & Cognitive-Behavior Therapy 2023;41(3):634 View
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  6. Homan S, Gabi M, Klee N, Bachmann S, Moser A, Duri' M, Michel S, Bertram A, Maatz A, Seiler G, Stark E, Kleim B. Linguistic features of suicidal thoughts and behaviors: A systematic review. Clinical Psychology Review 2022;95:102161 View
  7. Skaik R, Inkpen D. Predicting Depression in Canada by Automatic Filling of Beck’s Depression Inventory Questionnaire. IEEE Access 2022;10:102033 View
  8. Manduchi E, Romano J, Moore J. The promise of automated machine learning for the genetic analysis of complex traits. Human Genetics 2022;141(9):1529 View
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  10. Wu E, Wu C, Lee M, Chu K, Huang M. Development of Internet suicide message identification and the Monitoring-Tracking-Rescuing model in Taiwan. Journal of Affective Disorders 2023;320:37 View
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  12. Nasrullah S, Jalali A, Koundal D. Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model. Computational Intelligence and Neuroscience 2022;2022:1 View
  13. Garg S, Taylor J, El Sherief M, Kasson E, Aledavood T, Riordan R, Kaiser N, Cavazos-Rehg P, De Choudhury M. Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit. Internet Interventions 2021;26:100467 View
  14. Crema C, Attardi G, Sartiano D, Redolfi A. Natural language processing in clinical neuroscience and psychiatry: A review. Frontiers in Psychiatry 2022;13 View
  15. Sarupuri B, Kulpa R, Aristidou A, Multon F. Dancing in virtual reality as an inclusive platform for social and physical fitness activities: a survey. The Visual Computer 2024;40(6):4055 View
  16. Zhao Y, Liu D, Wan C, Liu X, Nie J, Liu J. JMS-QA: A Joint Hierarchical Architecture for Mental Health Question Answering. IEEE/ACM Transactions on Audio, Speech, and Language Processing 2024;32:352 View
  17. 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
  18. Houssein E, Mohamed R, Hu G, Ali A. Adapting transformer-based language models for heart disease detection and risk factors extraction. Journal of Big Data 2024;11(1) View
  19. Guo Z, Lai A, Thygesen J, Farrington J, Keen T, Li K. Large Language Models for Mental Health Applications: Systematic Review. JMIR Mental Health 2024;11:e57400 View
  20. Holmes G, Tang B, Gupta S, Venkatesh S, Christensen H, Whitton A. Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review. Journal of Medical Internet Research 2025;27:e63126 View
  21. Islam S, Shahriyar R, Agarwala A, Zaman M, Ahamed S, Rahman R, Chowdhury M, Sarker F, Mamun K. Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review. BMC Medical Informatics and Decision Making 2025;25(1) View
  22. Meneses do Rêgo A, Filho I. The influence of instagram on medical education in the age of artificial intelligence: a formal assessment of its utility in health education. Open Access Journal of Science 2024;7(1):61 View
  23. Jin Y, Liu J, Li P, Wang B, Yan Y, Zhang H, Ni C, Wang J, Li Y, Bu Y, Wang Y. The Applications of Large Language Models in Mental Health: Scoping Review. Journal of Medical Internet Research 2025;27:e69284 View
  24. Jang H, Park J. Detecting Non-Suicidal Self-Injury Risk Group on SNS: Application of Machine Learning and Text Mining. Human Ecology Research 2025;63(2):185 View

Books/Policy Documents

  1. Ananthanagu U, Agarwal P. Intelligent Sustainable Systems. View
  2. Moore J, Ribeiro P, Matsumoto N, Saini A. Handbook of Evolutionary Machine Learning. View
  3. Moore J, Ribeiro P, Matsumoto N, Saini A. Clinical Applications of Artificial Intelligence in Real-World Data. View
  4. Eva A, Jim J, Rahman A, Bhuiyan H, Kabir M. Data-Driven Clinical Decision-Making Using Deep Learning in Imaging. View
  5. Joshi K, Gupta K, Agrawal J. Modern Practices and Trends in Expert Applications and Security. View

Conference Proceedings

  1. Yunianto I, Permanasari A, Widyawan W. 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE). Domain-Specific Contextualized Embedding: A Systematic Literature Review View
  2. Skaik R, Inkpen D. 2020 3rd Artificial Intelligence and Cloud Computing Conference. Using Twitter Social Media for Depression Detection in the Canadian Population View
  3. Arfan T, Hayaty M, Hadinegoro A. 2021 2nd International Conference on Innovative and Creative Information Technology (ICITech). Classification of Brain Tumours Types Based On MRI Images Using Mobilenet View
  4. Lubis A, Prayudani S, Hamzah M. 2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). Classification of Text on Social Media Data Using the TF-IDF Approach, Word2Vec and Transfer Learning View
  5. Banerjee P, Kashyap S. 2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET). Unlocking Transfer Learning's Potential in Natural Language Processing: An Extensive Investigation and Evaluation View
  6. Javeed M, Ali M, Iqbal A, Azhar M, Aslam S, Shabbir I. 2024 International Conference on Frontiers of Information Technology (FIT). Transforming Heart Disease Detection with BERT: Novel Architectures and Fine-Tuning Techniques View
  7. Fakher L, Davarkhah M. 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI). Harnessing Large Language Models for Early Risk Assessment of Anorexia on Social Media View