Package: labourR 1.0.1.9000

Alexandros Kouretsis

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.

Authors: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]

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labourR.pdf |labourR.html
labourR/json (API)
NEWS

# Install 'labourR' in R:
install.packages('labourR', repos = c('https://eworx-org.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alekoure/labourr/issues

Datasets:

On CRAN:

6.27 score 27 stars 1 packages 23 scripts 243 downloads 6 exports 7 dependencies

Last updated 3 years agofrom:3624f255b2. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winNOTEOct 13 2024
R-4.5-linuxNOTEOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:classify_occupationcleansing_corpusget_language_codeget_stopwordsidentify_languagetf_idf

Dependencies:cld2data.tableISOcodesmagrittrRcppstopwordsstringdist

Introduction to labourR

Rendered fromlabourR_blogpost.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2020-07-10
Started: 2020-07-10

Occupations Classification

Rendered fromoccupations_retrieval.Rmdusingknitr::rmarkdownon Oct 13 2024.

Last update: 2020-07-10
Started: 2020-06-23