Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44586, first published .
Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study

Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study

Analysis of Fluoride-Free Content on Twitter: Topic Modeling Study

Matheus Lotto   1, 2 , DDS, MSc ;   Irfhana Zakir Hussain   2, 3 , BTech ;   Jasleen Kaur   2 , BTech, MTech, PhD ;   Zahid Ahmad Butt   2 , MBBS, MSc, PhD ;   Thiago Cruvinel   1 , DDS, MSc, PhD ;   Plinio P Morita   2, 4, 5, 6, 7 , BEng, MSc, PhD

1 Department of Pediatric Dentistry, Orthodontics and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru, Brazil

2 School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada

3 Department of Data Science and Business Systems, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India

4 Research Institute for Aging, University of Waterloo, Waterloo, ON, Canada

5 Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

6 eHealth Innovation, Techna Institute, University Health Network, Toronto, ON, Canada

7 Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

Corresponding Author:

  • Plinio P Morita, BEng, MSc, PhD
  • School of Public Health Sciences
  • University of Waterloo
  • 200 University Avenue West
  • Waterloo, ON, N2L 3G1
  • Canada
  • Phone: 1 519 888 4567
  • Email: plinio.morita@uwaterloo.ca