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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86545, first published .
Understanding User Intent in Code-Mixed Sexual and Reproductive Health Queries in Urban India: Hierarchical Classification Approach Using Large Language Models

Understanding User Intent in Code-Mixed Sexual and Reproductive Health Queries in Urban India: Hierarchical Classification Approach Using Large Language Models

Understanding User Intent in Code-Mixed Sexual and Reproductive Health Queries in Urban India: Hierarchical Classification Approach Using Large Language Models

Sumon Kanti Dey   1 , BSc ;   Manvi S   1 , MPH ;   Aradhana Thapa   2 , MPH ;   Meet Shah   3 , MS ;   Zeel Mehta   3 , MSc ;   Shraddha Kale Kapile   3 , MSW ;   Tanvi Divate   3 , BA ;   Suhani Jalota   4 , PhD ;   Azra Ismail   1 , PhD

1 Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States

2 Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States

3 Myna Mahila Foundation, Mumbai, India

4 Hoover Institution, Stanford University, Stanford, CA, United States

Corresponding Author:

  • Sumon Kanti Dey, BSc
  • Department of Biomedical Informatics
  • School of Medicine, Emory University
  • 101 Woodruff Circle
  • Atlanta, GA 30322
  • United States
  • Phone: 1 4046437205
  • Email: sumon.kanti.dey@emory.edu