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

Infodemiology and Infoveillance (1456) Peer-to-Peer Support and Online Communities (715) Natural Language Processing (801) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1789) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Food Sciences and Nutrition Engineering (55)

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 (11) Tweetations (6) Metrics

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
  6. Jayan H, Min W, Guo Z. Applications of Artificial Intelligence in Food Industry. Foods 2025;14(7):1241 View
  7. Yang D, Li L, Zheng Q. Research progress on processing quality traits and suitable varieties selection of edible mushrooms. Journal of Agriculture and Food Research 2025;21:101877 View
  8. ELTAHIR M, SUBAIT W, ALAHMARI S, ALHARBI A, SALAMA A, ALNEIL A. UBIQUITOUS LEARNING-DRIVEN NATURAL LANGUAGE PROCESSING FOR TWITTER CLIMATE CHANGE SENTIMENT ANALYSIS USING BAYESIAN MACHINE LEARNING FOR FOSTER SUSTAINABLE DEVELOPMENT IN RURAL AREAS. Fractals 2025;33(02) View
  9. Nakanishi A, Ichikawa M, Sano Y. Public Discourse Toward Older Drivers in Japan: Longitudinal Analysis of Social Media Data from 2010 to 2022 (Preprint). JMIR Infodemiology 2024 View

Conference Proceedings

  1. M.B. N, G.S. G. 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). Leveraging Natural Language Processing for In-Depth Analysis and Insights from Hospital Patient Feedback Data View
  2. Resuello J, Feliscuzo L, Pantaleon C. 2024 International Conference Automatics and Informatics (ICAI). Text Mining Student Comments for Teaching Performance Evaluation using VADER and Latent Dirichlet Allocation Algorithm View