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An approach for detecting emerging operational risks from textual data

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Published in:JDSA
Format: Online Article RSS Article
Published: 2026
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container_title JDSA
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:7414
institution FRELIP
journal_source_facet JDSA
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle An approach for detecting emerging operational risks from textual data
Big data and Data science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Big data and Data science
Computer Science & IT
Engineering & Technology
Big data and Data science
Computer Science & IT
Engineering & Technology
subject_facet Big data and Data science
Computer Science & IT
Engineering & Technology
title An approach for detecting emerging operational risks from textual data
title_auth An approach for detecting emerging operational risks from textual data
title_full An approach for detecting emerging operational risks from textual data
title_fullStr An approach for detecting emerging operational risks from textual data
title_full_unstemmed An approach for detecting emerging operational risks from textual data
title_short An approach for detecting emerging operational risks from textual data
title_sort an approach for detecting emerging operational risks from textual data
topic Big data and Data science
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s41060-025-00927-4