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labourR
View on CRAN: Click
here
Download and install labourR package within the R console
Install from CRAN:
install.packages("labourR")
Install from Github:
library("remotes")
install_github("cran/labourR") Install by package version:
library("remotes")
install_version("labourR", "1.0.0") Attach the package and use:
library("labourR")
Maintained by
Alexandros Kouretsis
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-18
Latest Update:
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) and Turrell et al. (2019)
), where the ISCO to ESCO mapping is exploited to extend the
occupations hierarchy, Le Vrang et al. (2014) . 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.
How to cite:
Alexandros Kouretsis (2020). labourR: Classify Multilingual Labour Market Free-Text to Standardized Hierarchical Occupations. R package version 1.0.0, https://cran.r-project.org/web/packages/labourR. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 1.0.0 (2020-07-18 11:30)
Other packages that cited labourR R package
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Other R packages that labourR depends,
imports, suggests or enhances
Complete documentation for labourR
Functions, R codes and Examples using
the labourR R package
Some associated functions: classify_occupation . cleansing_corpus . get_language_code . get_stopwords . identify_language . isco_occupations_bundle . occupations_bundle . tf_idf .
Some associated R codes: cleansing_corpus.R . identify_language.R . isco_occupations_bundle.R . occupations_bundle.R . occupations_classify.R . tf_idf.R . utilities.R . utils-data-table.R . Full labourR package functions and examples
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