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
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>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: labourR results


Reference manual: labourR.pdf
Vignettes: Introduction to labourR
Occupations Classification
Package source: labourR_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: labourR_1.0.0.tgz, r-oldrel: labourR_1.0.0.tgz


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