%0 Journal Article %1 suominen_annif_2021 %A Suominen, Osma %A Inkinen, Juho %A Lehtinen, Mona %D 2021 %J JLIS.it %K automatisches_indexieren inhaltserschliessung %N Preprint %P 16 %T Annif and Finto AI : developing and implementing automated subject indexing %U https://www.doria.fi/bitstream/handle/10024/181584/Preprint%20of%20Annif%20JLIS%20article%202021.pdf?sequence=5 %X Manually indexing documents for subject-based access is a labour-intensive process that can be automated using AI technology. Algorithms for text classification must be trained and tested with examples of indexed documents, which can be obtained from existing bibliographic databases and digital collections.

@article{suominen_annif_2021, abstract = {Manually indexing documents for subject-based access is a labour-intensive process that can be automated using AI technology. Algorithms for text classification must be trained and tested with examples of indexed documents, which can be obtained from existing bibliographic databases and digital collections.}, added-at = {2021-09-16T19:49:17.000+0200}, author = {Suominen, Osma and Inkinen, Juho and Lehtinen, Mona}, biburl = {https://www.bibsonomy.org/bibtex/2bcb96acb3d501126929259e526dd3558/lepsky}, interhash = {36b3e7b9a00ebf79c899fd2f773c0f41}, intrahash = {bcb96acb3d501126929259e526dd3558}, journal = {JLIS.it}, keywords = {automatisches_indexieren inhaltserschliessung}, language = {en}, number = {Preprint}, pages = 16, timestamp = {2021-09-19T12:29:18.000+0200}, title = {Annif and {Finto} {AI} : developing and implementing automated subject indexing}, url = {https://www.doria.fi/bitstream/handle/10024/181584/Preprint%20of%20Annif%20JLIS%20article%202021.pdf?sequence=5}, year = 2021 }