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Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements

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Main Author: Thimm, Heiko
Format: Book
Language:English
Published: Springer 2023
Subjects:
specialized IT-based assistance systems
NLP-based scoring method
Online Access:https://link.springer.com/article/10.1007/s10669-023-09900-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8672
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spelling oai:localhost:PNK-86722023-08-04T08:02:56Z Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements Thimm, Heiko specialized IT-based assistance systems NLP-based scoring method CC-BY The constantly growing body of global environmental legislation necessitates that corporate environmental compliance managers frequently assess the relevance of new regulations and regulation revisions for each of their sites. Companies are pressured to streamline and automate this crucial task through digital workflows and specialized IT-based assistance systems. This has recently piqued the interest of researchers working in different disciplines, such as intelligent systems, machine learning, and natural language processing. The article describes the latest results of our long-term research program on IT-based support for corporate compliance management, offering insights for these, and other disciplines. The context and the main aspects of environmental regulation announcements and the relevance assessment task are analyzed. 2023-08-04T04:34:46Z 2023-08-04T04:34:46Z 2023 Book https://link.springer.com/article/10.1007/s10669-023-09900-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8672 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic specialized IT-based assistance systems
NLP-based scoring method
spellingShingle specialized IT-based assistance systems
NLP-based scoring method
Thimm, Heiko
Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
description CC-BY
format Book
author Thimm, Heiko
author_facet Thimm, Heiko
author_sort Thimm, Heiko
title Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
title_short Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
title_full Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
title_fullStr Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
title_full_unstemmed Data modeling and NLP-based scoring method to assess the relevance of environmental regulatory announcements
title_sort data modeling and nlp-based scoring method to assess the relevance of environmental regulatory announcements
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10669-023-09900-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8672
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score 8.887836

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