Exploring linguistic and cultural differences in online job advertisement analysis for NLP applications

Krüger, Kai [Verfasser]; Grüner, Lea [Verfasser]

Exploring linguistic and cultural differences in online job advertisement analysis for NLP applications

bibb.id	784198
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Krüger, Kai [Verfasser]	de
dc.contributor.author	Grüner, Lea [Verfasser]	de
dc.date.accessioned	2025-12-02T11:29:00Z
dc.date.available	2025-12-02T11:29:00Z
dc.date.issued	2024
dc.description.abstract	Online job advertisements (OJAs) have become a significant data source for analyzing labor market dynamics, offering insights into shifts within occupations, industry sectors, skills, and tasks. This paper investigates the cross-lingual and cultural differences in OJAs and their impact on the transferability of Natural Language Processing (NLP) methods and research scope. By analyzing OJAs from Austria, France, Germany, Italy, Spain, the UK, and the US, we point out substantial variations in document length, diversity metrics, syntactic structures, and content features such as salary information. These differences underscore the challenges in applying NLP methods universally across languages and cultures. Our findings emphasize the need for tailored approaches in NLP research and offer a starting point for developing standardized pipelines for analyzing text genres across different languages." (Authors‘ abstract; BIBB-Doku	de
dc.description.statementofresponsibility	Kai Krüger, Lea Grüner	de
dc.description.version	referiert	de
dc.format.extent	Seite 83-94	de
dc.format.illustration	Illustrationen	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Zeitschriftenaufsatz	de
dc.identifier.uri	DOI:10.15439/2024F5992
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784198
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	Annals of Computer Science and Information Systems, (2024), Vol. 41: Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), September 8–11, 2024. Belgrade, Serbia / M. Bolanowski [Hrsg.] ; M. Ganzha [Hrsg.] ; L. Maciaszek [Hrsg.] ; M. Paprzycki [Hrsg.] ; D. Ślęzak [Hrsg.]
dc.source.uri	https://annals-csis.org/Volume_41/drp/pdf/5992.pdf (Volltext)	de
dc.subject.ddc	370	de
dc.subject.ddc	600	de
dc.subject.other	Stellenanzeige	de
dc.subject.other	Analyse	de
dc.subject.other	Programmierung	de
dc.subject.other	Internationaler Vergleich	de
dc.subject.other	Kulturelle Faktoren	de
dc.title	Exploring linguistic and cultural differences in online job advertisement analysis for NLP applications	de

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Annals of Computer Science and Information Systems, (2024), Vol. 41: Communication Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), September 8–11, 2024. Belgrade, Serbia / M. Bolanowski [Hrsg.] ; M. Ganzha [Hrsg.] ; L. Maciaszek [Hrsg.] ; M. Paprzycki [Hrsg.] ; D. Ślęzak [Hrsg.]
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Exploring linguistic and cultural differences in online job advertisement analysis for NLP applications

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