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

Annika MolenaarDickson LukoseLinda BrennanEva L JenkinsTracy A McCaffrey
Published in: Journal of medical Internet research (2024)
In this study, we demonstrated the potential use of sentiment analysis and topic modeling to explore evolution in conversations on food security using social media data. Future use of NLP in food security requires the context of and interpretation by public health experts and the use of broader data sets, with the potential to track dimensions or events related to food security to inform evidence-based decision-making in this area.
Keyphrases
  • social media
  • public health
  • human health
  • health information
  • global health
  • risk assessment
  • big data
  • autism spectrum disorder
  • healthcare
  • machine learning
  • current status
  • deep learning