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

Journals

  1. Sun R, An L, Li G. Exploring the Opinion Shifting of Social Media Users Based on Stance Detection. Proceedings of the Association for Information Science and Technology 2024;61(1):650 View
  2. Rkia A, Fatima-Azzahrae A, Mehdi A, Lily L. NLP and Topic Modeling with LDA, LSA, and NMF for Monitoring Psychosocial Well-being in Monthly Surveys. Procedia Computer Science 2024;251:398 View
  3. Kaklauskas A, Rajib S, Piaseckiene G, Kaklauskiene L, Sepliakovas J, Lepkova N, Abaravicius Z, Milevicius V, Kildiene S, Sapurov M. Multiple criteria and statistical sentiment analysis on flooding. Scientific Reports 2024;14(1) View
  4. Salaris S, Ocagli H, Casamento A, Lanera C, Gregori D. Foodborne Event Detection Based on Social Media Mining: A Systematic Review. Foods 2025;14(2):239 View
  5. Dhal S, Kar D. Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review. Discover Applied Sciences 2025;7(1) View