Extracting value from job vacancy information

Cárdenas Rubio, Jeisson Arley

doi:https://doi.org/10.48713/10336_45591

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Extracting value from job vacancy information

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dc.creator	Cárdenas Rubio, Jeisson Arley	spa
dc.date.accessioned	2025-06-05T20:22:06Z
dc.date.available	2025-06-05T20:22:06Z
dc.date.created	2020-03-01	spa
dc.date.issued	2020-03-01	spa
dc.description	This paper presents a comprehensive methodology to collect and standardise vacancy information systematically from job portals. Describes available information in Colombian job portals. Describes the methodology (web scraping) and challenges to automatically and rapidly collect a massive number of online job vacancies. Also explains the methods that can be used to homogenise variables, and explains challenges involved in standardising two of the most relevant variables for the economic analysis of the labour market: skills and occupations. This paper develops a method to automatically identify skills patterns in job vacancy descriptions based on international skill descriptors and text mining. In addition, it conducts a novel mixedmethod approach (software classifiers and machine learning algorithms) to properly classify job titles into occupations. Furthermore, it deals with duplication and missing value issues, by using predictors such as occupation, city, and experience requirements.	spa
dc.format.extent	81 pp	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	https://doi.org/10.48713/10336_45591
dc.identifier.uri	https://repository.urosario.edu.co/handle/10336/45591
dc.language.iso	eng	spa
dc.publisher	Universidad del Rosario	spa
dc.publisher	Alianza EFI	spa
dc.publisher.department	Facultad de Economía	spa
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	spa
dc.rights.accesRights	info:eu-repo/semantics/openAccess	spa
dc.rights.acceso	Abierto (Texto Completo)	spa
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	spa
dc.source.instname	instname:Universidad del Rosario	spa
dc.source.reponame	reponame:Repositorio Institucional EdocUR	spa
dc.subject.keyword	Big Data	eng
dc.subject.keyword	Web scraping	eng
dc.subject.keyword	Text mining	eng
dc.subject.keyword	Machine learning	eng
dc.subject.keyword	Skills	eng
dc.subject.keyword	Occupations	eng
dc.title	Extracting value from job vacancy information	spa
dc.type	workingPaper	spa
dc.type.hasVersion	info:eu-repo/semantics/publishedVersion	spa
dc.type.spa	Documento de trabajo	spa
local.department.report	Facultad de Economía