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Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction

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Bibliographic Details
Published in:Journal of Data Mining and Digital Humanities
Format: Online Article RSS Article
Published: 2025
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container_title Journal of Data Mining and Digital Humanities
description
discipline_display Data Mining
discipline_facet Data Mining
format Online Article
RSS Article
genre Journal Article
id rss_article:77123
institution FRELIP
journal_source_facet Journal of Data Mining and Digital Humanities
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
Data Mining
General
Data Mining
sub_discipline_display General
sub_discipline_facet General
subject_display Data Mining
General
Data Mining
Data Mining
General
Data Mining
subject_facet Data Mining
General
Data Mining
title Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_auth Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_full Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_fullStr Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_full_unstemmed Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_short Exploring Historical Labor Markets: Computational Approaches to Job Title Extraction
title_sort exploring historical labor markets: computational approaches to job title extraction
topic Data Mining
General
Data Mining
url https://doi.org/10.46298/jdmdh.15038