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<p>While for data mining projects (for example in the context of e-commerce) some methodologies have already been developed (e.g. CRISP-DM, SEMMA, KDD), these do <i>not</i> account for (1) early evaluation in order to de-risk a project (2) dealing with text corpora (“unstructured” data) and associated natural language processing processes, and (3) non-technical considerations (e.g. legal, ethical, project management aspects). To address these three shortcomings, a new methodology, called <i>“Data to Value”</i>, is introduced, which is guided by a detailed catalog of questions in order to avoid a disconnect of large-scale NLP project teams with the topic when facing rather abstract box-and-arrow diagrams commonly associated with methodologies.<br></p>
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Leidner, Jochen L. (2022): Data to Value: An 'Evaluation-First' Methodology for Natural Language Projects. Proceedings of the 27th International Conference on Applications of Natural Language to Information Systems (NLDB 2022), Valencia, Spain, June 15-17, 2022, S. 517-523.
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The website of Coburg University of Applied Sciences was translated using translation software provided by a third-party provider such as DeepL. The official text is the German version of the website. No liability is assumed, either explicitly or implicitly, for the accuracy, reliability, or correctness of the translations into another language.

Data to Value: An ‚Evaluation-First‘ Methodology for Natural Language Projects

While for data mining projects (for example in the context of e-commerce) some methodologies have already been developed (e.g. CRISP-DM, SEMMA, KDD), these do not account for (1) early evaluation in order to de-risk a project (2) dealing with text corpora (“unstructured” data) and associated natural language processing processes, and (3) non-technical considerations (e.g. legal, ethical, project management aspects). To address these three shortcomings, a new methodology, called “Data to Value”, is introduced, which is guided by a detailed catalog of questions in order to avoid a disconnect of large-scale NLP project teams with the topic when facing rather abstract box-and-arrow diagrams commonly associated with methodologies.

Titel:

Data to Value: An 'Evaluation-First' Methodology for Natural Language Projects

Veröffentlichungsdatum:

13.06.2022

Publikationsart:

Beitrag zu wissenschaftlicher Konferenz/Tagung

Forschungsschwerpunkt:

kein FSP zugeordnet

Medien:

Proceedings of the 27th International Conference on Applications of Natural Language to Information Systems (NLDB 2022), Valencia, Spain, June 15-17, 2022

DOI:

Weblink:

Heft:

Band:

Artikelnummer:

ISBN:

978-3-031-08472-0

Autoren:

Jochen Leidner

Medien:

Proceedings of the 27th International Conference on Applications of Natural Language to Information Systems (NLDB 2022), Valencia, Spain, June 15-17, 2022

Herausgeber:

Springer Nature

Seiten:

517-523

Open Access:

Peer reviewed:

Ja

Zitierung:

Leidner, Jochen L. (2022): Data to Value: An 'Evaluation-First' Methodology for Natural Language Projects. Proceedings of the 27th International Conference on Applications of Natural Language to Information Systems (NLDB 2022), Valencia, Spain, June 15-17, 2022, S. 517-523.

Autoren:

Jochen Leidner