Search (8 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Automatisches Indexieren"
  1. Oliver, C.: Leveraging KOS to extend our reach with automated processes (2021) 0.01
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    Source
    Cataloging and classification quarterly. 59(2021) no.8, p.868-874
  2. Moulaison-Sandy, H.; Adkins, D.; Bossaller, J.; Cho, H.: ¬An automated approach to describing fiction : a methodology to use book reviews to identify affect (2021) 0.01
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    Source
    Cataloging and classification quarterly. 59(2021) no.8, p.794-814
  3. Golub, K.: Automated subject indexing : an overview (2021) 0.01
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    Source
    Cataloging and classification quarterly. 59(2021) no.8, p.702-719
  4. Chou, C.; Chu, T.: ¬An analysis of BERT (NLP) for assisted subject indexing for Project Gutenberg (2022) 0.01
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    Source
    Cataloging and classification quarterly. 60(2022) no.8, p.807-835
  5. Matthews, P.; Glitre, K.: Genre analysis of movies using a topic model of plot summaries (2021) 0.01
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  6. Lowe, D.B.; Dollinger, I.; Koster, T.; Herbert, B.E.: Text mining for type of research classification (2021) 0.01
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    Source
    Cataloging and classification quarterly. 59(2021) no.8, p.815-834
  7. Asula, M.; Makke, J.; Freienthal, L.; Kuulmets, H.-A.; Sirel, R.: Kratt: developing an automatic subject indexing tool for the National Library of Estonia : how to transfer metadata information among work cluster members (2021) 0.01
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    Source
    Cataloging and classification quarterly. 59(2021) no.8, p.775-793
  8. Pintscher, L.; Bourgonje, P.; Moreno Schneider, J.; Ostendorff, M.; Rehm, G.: Wissensbasen für die automatische Erschließung und ihre Qualität am Beispiel von Wikidata : die Inhaltserschließungspolitik der Deutschen Nationalbibliothek (2021) 0.01
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