What does the language of foods say about us?

Hoang Van, Ahmad Musa, Hang Chen, Mihai Surdeanu, Stephen Kobourov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work we investigate the signal contained in the language of food on social media. We experiment with a dataset of 24 million food-related tweets, and make several observations. First, the language of food has predictive power. We are able to predict if states in the United States (US) are above the median rates for type 2 diabetes mellitus (T2DM), income, poverty, and education - outperforming previous work by 4-18%. Second, we investigate the effect of socioeconomic factors (income, poverty, and education) on predicting state-level T2DM rates. Socioeconomic factors do improve T2DM prediction, with the greatest improvement coming from poverty information (6%), but, importantly, the language of food adds distinct information that is not captured by socioeconomics. Third, we analyze how the language of food has changed over a five-year period (2013 - 2017), which is indicative of the shift in eating habits in the US during that period. We find several food trends, and that the language of food is used differently by different groups such as different genders. Last, we provide an online visualization tool for real-time queries and semantic analysis.

Original languageEnglish (US)
Title of host publicationLOUHI@EMNLP 2019 - 10th International Workshop on Health Text Mining and Information Analysis, Proceedings
PublisherAssociation for Computational Linguistics (ACL)
Pages87-96
Number of pages10
ISBN (Electronic)9781950737772
StatePublished - 2019
Event10th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2019 - Hong Kong, China
Duration: Nov 3 2019 → …

Publication series

NameLOUHI@EMNLP 2019 - 10th International Workshop on Health Text Mining and Information Analysis, Proceedings

Conference

Conference10th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2019
Country/TerritoryChina
CityHong Kong
Period11/3/19 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Health Informatics

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