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Authors: Morten Mathiasen ; Jacob Nielsen and Simon Laub

Affiliation: EAAA, Aarhus, Denmark

Keyword(s): Transformers, Analyzing Online Job Ads, Skills, Alignment of Educational Courses.

Abstract: To benefit educational adaption and guidance of the unemployed, we report on our study of automated monitorization of labor market demands by analyzing online job ads. We identify and measure two categories of competence demands, “technical competences” and “personal competences”, as well as competences described by Bloom’s taxonomy. Ads are labelled, both by humans and by natural language processing (NLP) transformers. Within all competence categories and levels of Bloom’s taxonomy we demonstrate how the automated NLP transformer process do a semantic search with the same level of precision as the humans.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Mathiasen, M.; Nielsen, J. and Laub, S. (2023). A Transformer Based Semantic Analysis of (non-English) Danish Jobads. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-641-5; ISSN 2184-5026, SciTePress, pages 359-366. DOI: 10.5220/0012008400003470

@conference{csedu23,
author={Morten Mathiasen. and Jacob Nielsen. and Simon Laub.},
title={A Transformer Based Semantic Analysis of (non-English) Danish Jobads},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2023},
pages={359-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012008400003470},
isbn={978-989-758-641-5},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - A Transformer Based Semantic Analysis of (non-English) Danish Jobads
SN - 978-989-758-641-5
IS - 2184-5026
AU - Mathiasen, M.
AU - Nielsen, J.
AU - Laub, S.
PY - 2023
SP - 359
EP - 366
DO - 10.5220/0012008400003470
PB - SciTePress