In reply to Jenkins.

Int J Radiat Oncol Biol Phys

Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, Australia.

Published: January 2015

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http://dx.doi.org/10.1016/j.ijrobp.2014.10.013DOI Listing

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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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