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labourR: Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations

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.

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: data.table, cld2, magrittr, stopwords, stringdist
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2020-07-18
DOI: 10.32614/CRAN.package.labourR
Author: Alexandros Kouretsis [aut, cre], Andreas Bampouris [aut], Petros Morfiris [aut], Konstantinos Papageorgiou [aut], Stavros Ladas [ctb], Athanassios Siaperas [ctb], Philippe Tissot [ctb], Nikos Vaslamatzis [ctb], Eworx S.A [cph]
Maintainer: Alexandros Kouretsis <ako at eworx.gr>
BugReports: https://github.com/AleKoure/labourR/issues
License: GPL-3
URL: https://github.com/AleKoure/labourR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: labourR results

Documentation:

Reference manual: labourR.pdf
Vignettes: Introduction to labourR
Occupations Classification

Downloads:

Package source: labourR_1.0.0.tar.gz
Windows binaries: r-devel: labourR_1.0.0.zip, r-release: labourR_1.0.0.zip, r-oldrel: labourR_1.0.0.zip
macOS binaries: r-release (arm64): labourR_1.0.0.tgz, r-oldrel (arm64): labourR_1.0.0.tgz, r-release (x86_64): labourR_1.0.0.tgz, r-oldrel (x86_64): labourR_1.0.0.tgz

Reverse dependencies:

Reverse imports: iscoCrosswalks

Linking:

Please use the canonical form https://CRAN.R-project.org/package=labourR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.