Brygfjeld, Svein ArneWetjen, FreddyWalsøe, André2025-09-242025-09-242017NLN. 2007. NORART. [ONLINE] Available at: http://nabo.nb.no/trip?_b=baser&_q=100&_s=E&navn=norart&title=&fag=&CCL=&_BOOL=AND . [Accessed 19 July 2018]. NLN. 2018. NORMARC. [ONLINE] Available at: https://bibliotekutvikling.no/ressurser/kunnskapsorganisering/verktoykasse-forkunnskapsorganisering/marc-formater/normarc/. [Accessed 19 July 2018]. OCLC. 2018. Dewey Decimal Classification summaries. [ONLINE] Available at: https://www.oclc.org/en/dewey/features/summaries.html. [Accessed 19 July 2018]. Zhang, X, 2016. Character-level Convolutional Networks for Text Classification. Character-level Convolutional Networks for Text Classification, [Online]. arXiv:1509.01626v3 [cs.LG], 1-9. Available at: https://arxiv.org/abs/1509.01626v3 [Accessed 19 July 2018].https://repository.ifla.org/handle/20.500.14598/6364Based on Open Source software and existing metadata and content, the National Library of Norway has carried out a series of experiments to study automatic classification of articles based on the Dewey Decimal Classification system. Various platforms and models for machine learning has been used. The results indicate machine learning is a suitable environment for semi-automated or fully automated production of DDC. Furthermore, they show that training of machine learning platforms may be enforced by using artificial documents.engAttribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/Articlehttps://2018.ifla.org/open accessMachine LearningDewey Decimal ClassificationAutomatic classification