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http://dx.doi.org/10.1016/j.ijrobp.2014.10.013 | DOI Listing |
Drugs
January 2025
Orphalan, Inc, 294 Washington Street Suite 701, Boston, MA, 02108, USA.
Eur J Obstet Gynecol Reprod Biol X
September 2024
Gedeon Richter Suisse, Chemin des Mines 2, 1202 Geneva, Switzerland.
Lancet Diabetes Endocrinol
August 2024
Population Health Research Institute, McMaster University, and Hamilton Health sciences Hamilton, ON L8L 2X2, Canada.
Lancet Diabetes Endocrinol
August 2024
Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
J Med Internet Res
March 2024
Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, Australia.
Background: Social media has the potential to be of great value in understanding patterns in public health using large-scale analysis approaches (eg, data science and natural language processing [NLP]), 2 of which have been used in public health: sentiment analysis and topic modeling; however, their use in the area of food security and public health nutrition is limited.
Objective: This study aims to explore the potential use of NLP tools to gather insights from real-world social media data on the public health issue of food security.
Methods: A search strategy for obtaining tweets was developed using food security terms.
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