epitweetr: Early Detection of Public Health Threats from Twitter Data

It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords.

Package details

AuthorFrancisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>, Author of the package and original code), Laura Espinosa [aut, cre, fnd] (<https://orcid.org/0000-0003-0748-9657>, Project manager, author of the design and concept of the package, and package maintainer), Ariana Wijermans [ctb] (Contributor to the design and concept of the package), Thomas Mollet [ctb, fnd] (Business owner of the project, and contributor to the design and concept of the package), Adrian Prodan [ctb], Thomas Czernichow [ctb], Maria Prieto Gonzalez [ctb], Esther Kissling [ctb], Michael Höhle [ctb]
MaintainerLaura Espinosa <laura.espinosa@ecdc.europa.eu>
URL https://github.com/EU-ECDC/epitweetr
Package repositoryView on CRAN
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epitweetr documentation built on Oct. 23, 2020, 5:08 p.m.