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

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