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Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26616, first published .
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Journals

  1. Yang Y, Al-Garadi M, Love J, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open 2021;4(2) View
  2. Kanaparthi V. Examining Natural Language Processing Techniques in the Education and Healthcare Fields. International Journal of Engineering and Advanced Technology 2022;12(2):8 View
  3. Ngai E, Lui A, Kei B. Natural language processing in government applications: a literature review and a case analysis. Industrial Management & Data Systems 2025;125(6):2067 View
  4. Schmidt D, Schubert R, Chen B, Kuk D, Kudesia V, Hinz A, Cimiano P. Extracting Quality of Life Information of Patients Diagnosed With Breast Cancer From Health Care Online Forum Posts: Data Feasibility Study. JMIR Cancer 2026;12:e76044 View

Books/Policy Documents

  1. Hemavathi U, Medona A. Information and Communication Technology for Competitive Strategies (ICTCS 2021). View