But which skills? Natural Language Processing tools and the identification of high-demand skills in online Job advertisements.

Autor/in	Anelli, Gianni
Titel	But which skills? Natural Language Processing tools and the identification of high-demand skills in online Job advertisements. Gefälligkeitsübersetzung: Aber welche Fähigkeiten?: Tools zur Verarbeitung natürlicher Sprache und die Identifizierung von stark nachgefragten Fähigkeiten in Online-Stellenanzeigen.
Quelle	In: Work organisation labour & globalisation, 17 (2023) 2, S. 91-104 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1745-641X; 1745-6428
Schlagwörter	Kompetenz; Fähigkeit; Natürliche Sprache; Sprachverarbeitung; Computerlinguistik; Arbeitsmarktforschung; Berufliche Qualifikation; Qualifikation; Qualifikationsanforderung; Qualifikationsbedarf; Jobbörse; Klassifikation; Text Mining; Informationsbeschaffung; Chile
Abstract	"Skills assessment is essential for today's labor market.There are many factors hat 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 ompanies 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 ob advertisements from Chile to identify and extract the skills employers place n their online job advertisements through skills dictionaries. The study shows modest results when using the European Skills, Competences and Occupations 28ESCO) dictionary but an enhanced and much-improved result when adding an inductively constructed dictionary of the national labor market. Using this method would allow a new input of information to be incorporated into labor arket information systems that would enable better decisions to be made by he various actors in the labor market." (Author's a bstract, IAB-Doku, © Pluto Journals Ltd.). The study refers to the period 2022-2022
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/2