Food insufficiency and Twitter emotions during a pandemic

The COVID‐19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real‐time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural language processing to extract sentiments and emotio...

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Detalles Bibliográficos
Autores principales: Goetz, Stephan J., Heaton, Connor, Imran, Muhammad, Pan, Yuxuan, Tian, Zheng, Schmidt, Claudia, Qazi, Umair, Ofli, Ferda, Mitra, Prasenjit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Submitted Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082005/
https://www.ncbi.nlm.nih.gov/pubmed/35572046
http://dx.doi.org/10.1002/aepp.13258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082005/
https://www.ncbi.nlm.nih.gov/pubmed/35572046
http://dx.doi.org/10.1002/aepp.13258

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