But which skills

Natural Language Processing tools and the identification of high-demand skills in online job advertisements

Bibliographic Data

ID21189751
AuthorsGianni Anelli (Institute for Employment Studies, corresponding author)
Year2023
Volume17
Issue2
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWork Organisation Labour & Globalisation (JOURNAL)
Journal identifiersISSN: 1745-641X • E-ISSN: 1745-6428
PublisherPluto Journals (PUBLISHER • GB)
DOI10.13169/workorgalaboglob.17.2.0091
OpenAlexW4389202927
LanguageEN
References cited17

Skills assessment is essential for today’s labour market. There are many factors that change the requirements for the workplace. More than ever, it is important to monitor which skills are in high demand so that workers stay employed and companies do not lose productivity. This research discusses the relevance of data from online job portals for this task. It then uses a skill extractor in online job advertisements from Chile to identify and extract the skills employers place in their online job advertisements through skills dictionaries. The study shows modest results when using the European Skills, Competences and Occupations (ESCO) dictionary but an enhanced and much-improved result when adding an inductively constructed dictionary of the national labour market. Using this method would allow a new input of information to be incorporated into labour market information systems that would enable better decisions to be made by the various actors in the labour market

Business · Economic growth · Economics · Extractor · Job market · Knowledge management · Management · Political science · Productivity · Computer Science · Educational Technology and Optimization · Engineering · Information Systems Education and Curriculum Development · Labor market dynamics and wage inequality · Marketing

Tools

Open DOIOpen Access