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

Infodemiology and Infoveillance (1349) Peer-to-Peer Support and Online Communities (636) Natural Language Processing (692) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Food Sciences and Nutrition Engineering (54)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47826, first published .
Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study

Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study

Using Natural Language Processing to Explore Social Media Opinions on Food Security: Sentiment Analysis and Topic Modeling Study

Authors of this article:

Annika Molenaar1 Author Orcid Image ;   Dickson Lukose2 Author Orcid Image ;   Linda Brennan3 Author Orcid Image ;   Eva L Jenkins1 Author Orcid Image ;   Tracy A McCaffrey1 Author Orcid Image
Article Authors Cited by (2) Tweetations (6) Metrics

Annika Molenaar   1 , BNutrSc (Hons) ;   Dickson Lukose   2 , PhD ;   Linda Brennan   3 , PhD ;   Eva L Jenkins   1 , BNutrSc (Hons) ;   Tracy A McCaffrey   1 , PhD

1 Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, Australia

2 Tabcorp Holdings Ltd., Melbourne, Australia

3 School of Media and Communication, RMIT University, Melbourne, Australia

Corresponding Author:

  • Tracy A McCaffrey, PhD
  • Department of Nutrition, Dietetics and Food
  • Monash University
  • Level 1
  • 264 Ferntree Gully Road
  • Notting Hill, 3168
  • Australia
  • Phone: 61 3 9905 6862
  • Email: tracy.mccaffrey@monash.edu