DESCRIPTION

Package: labourR
Type: Package
Title: Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations
Version: 1.0.1.9000
Authors@R: c(
    person("Alexandros", "Kouretsis", email = "ako@eworx.gr", role = c("aut", "cre")),
    person("Andreas", "Bampouris", email = "aba@eworx.gr", role = "aut"),
    person("Petros", "Morfiris", email = "pem@eworx.gr", role = "aut"),
    person("Konstantinos", "Papageorgiou", email = "melt@eworx.gr", role = "aut"),
    person("Stavros", "Ladas", email = "sl@eworx.gr", role = "ctb"),
    person("Athanassios", "Siaperas", email = "athanassios.siaperas@cedefop.europa.eu", role = "ctb"),
    person("Philippe", "Tissot", email = "philippe.tissot@cedefop.europa.eu", role = "ctb"),
    person("Nikos", "Vaslamatzis", email = "nfv@eworx.gr", role = "ctb"),
    person("Eworx S.A", role = "cph")
            )
Description: Allows the user to map multilingual free-text of occupations to a broad range
    of standardized classifications. The package facilitates automatic occupation coding
    (see, e.g., Gweon et al. (2017) <doi:10.1515/jos-2017-0006> and Turrell et al. (2019)
    <doi:10.3386/w25837>), where the ISCO to ESCO mapping is exploited to extend the
    occupations hierarchy, Le Vrang et al. (2014) <doi:10.1109/mc.2014.283>. Document
    vectorization is performed using the multilingual ESCO corpus. A method based on the 
    nearest neighbor search is used to suggest the closest ISCO occupation.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Roxygen: list(markdown = TRUE)
URL: https://github.com/AleKoure/labourR
BugReports: https://github.com/AleKoure/labourR/issues
Suggests:
    knitr,
    rmarkdown,
    testthat (>= 2.1.0)
VignetteBuilder: knitr
Depends: R (>= 3.1.0)
Imports:
    data.table,
    cld2,
    magrittr,
    stopwords,
    stringdist