Package: epitweetr
Title: Early Detection of Public Health Threats from Twitter Data
Version: 2.0.3
Authors@R: c( 
     person(given = "Laura",
            family = "Espinosa",
            role = c("aut", "fnd", "cre"),
            email = "laura.espinosa@ecdc.europa.eu",
            comment = c(structure("0000-0003-0748-9657", .Names = "ORCID"), "Project manager, author of the design and concept of the package, and package maintainer")),
     person(given = "Francisco",
            family = "Orchard",
            role = c("aut", "ctr"),
            email = "f.orchard@epiconcept.fr",
            comment = c(structure("0000-0001-5793-3301", .Names = "ORCID"), "Author of the package and original code")),
     person(given = "Ariana",
            family = "Wijermans",
            role = "ctb",
            email = "ariana.wijermans@ecdc.europa.eu",
            comment = "Contributor to the design and concept of the package"),
     person(given = "Thomas",
            family = "Mollet",
            role = c("ctb", "fnd"),
            email = "thomas.mollet@ecdc.europa.eu",
            comment = "Business owner of the project, and contributor to the design and concept of the package"),
     person(given = "Adrian",
            family = "Prodan",
            role = "ctb",
            email = "adrian.prodan@ecdc.europa.eu"),
     person(given = "Thomas",
            family = "Czernichow",
            role = "ctb",
            email = "thomas.czernichow@epiconcept.fr"),
     person(given = "Maria",
            family = "Prieto Gonzalez",
            role = "ctb",
            email = "m.gonzalez@epiconcept.fr"),
     person(given = "Esther",
            family = "Kissling",
            role = "ctb",
            email = "e.kissling@epiconcept.fr"), 
     person(given = "Michael",
            family = "Höhle",
            role = "ctb",
            email = "hoehle@math.su.se")
     )
Description: 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.
License: EUPL
URL: https://github.com/EU-ECDC/epitweetr
BugReports: https://github.com/EU-ECDC/epitweetr/issues
Encoding: UTF-8
Imports: bit64, dplyr, crul, curl, DT, future, httpuv, httr, htmltools,
        jsonlite, keyring, knitr, emayili, ggplot2, janitor, magrittr,
        parallel, plotly, rtweet, readxl, rlang, rmarkdown,
        rnaturalearthdata, openxlsx, plyr, shiny, sp, stringr, stats,
        tibble, tidyverse, tidytext, tokenizers, tools, utils, xtable,
        xml2
RoxygenNote: 7.1.1
Suggests: taskscheduleR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-01-05 06:40:06 UTC; fod
Author: Laura Espinosa [aut, fnd, cre]
    (<https://orcid.org/0000-0003-0748-9657>, Project manager, author
    of the design and concept of the package, and package maintainer),
  Francisco Orchard [aut, ctr] (<https://orcid.org/0000-0001-5793-3301>,
    Author of the package and original code),
  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]
Maintainer: Laura Espinosa <laura.espinosa@ecdc.europa.eu>
Repository: CRAN
Date/Publication: 2022-01-05 10:00:08 UTC
Built: R 4.0.5; ; 2022-04-21 14:38:22 UTC; windows
