Search (34 results, page 2 of 2)

  • × theme_ss:"Automatisches Klassifizieren"
  1. Giorgetti, D.; Sebastiani, F.: Automating survey coding by multiclass text categorization techniques (2003) 0.01 
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  2. Peng, F.; Huang, X.: Machine learning for Asian language text classification (2007) 0.01 
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  3. Fagni, T.; Sebastiani, F.: Selecting negative examples for hierarchical text classification: An experimental comparison (2010) 0.01 
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  4. Yang, P.; Gao, W.; Tan, Q.; Wong, K.-F.: ¬A link-bridged topic model for cross-domain document classification (2013) 0.01 
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  5. Liu, R.-L.: Context recognition for hierarchical text classification (2009) 0.01 
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    Date
    22. 3.2009 19:11:54
  6. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.01 
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    Date
    22. 8.2009 19:51:28
  7. Zhu, W.Z.; Allen, R.B.: Document clustering using the LSI subspace signature model (2013) 0.01 
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    Date
    23. 3.2013 13:22:36
  8. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01 
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    Date
    4. 8.2015 19:22:04
  9. Billal, B.; Fonseca, A.; Sadat, F.; Lounis, H.: Semi-supervised learning and social media text analysis towards multi-labeling categorization (2017) 0.01 
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  10. Mengle, S.; Goharian, N.: Passage detection using text classification (2009) 0.01 
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    Date
    22. 3.2009 19:14:43
  11. Liu, R.-L.: ¬A passage extractor for classification of disease aspect information (2013) 0.01 
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    Date
    28.10.2013 19:22:57
  12. Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003) 0.01 
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    Date
    12. 9.2004 9:56:22
  13. Reiner, U.: Automatische DDC-Klassifizierung bibliografischer Titeldatensätze der Deutschen Nationalbibliografie (2009) 0.01 
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    Date
    22. 1.2010 14:41:24
  14. Oberhauser, O.: Automatisches Klassifizieren : Entwicklungsstand - Methodik - Anwendungsbereiche (2005) 0.00 
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    Footnote
    Die am Anfang des Werkes gestellte Frage, ob »die Techniken des automatischen Klassifizierens heute bereits so weit [sind], dass damit grosse Mengen elektronischer Dokumente [-] zufrieden stellend erschlossen werden können? « (S. 13), beantwortet der Verfasser mit einem eindeutigen »nein«, was Salton und McGills Aussage von 1983, »daß einfache automatische Indexierungsverfahren schnell und kostengünstig arbeiten, und daß sie Recall- und Precisionwerte erreichen, die mindestens genauso gut sind wie bei der manuellen Indexierung mit kontrolliertem Vokabular « (Gerard Salton und Michael J. McGill: Information Retrieval. Hamburg u.a. 1987, S. 64 f.) kräftig relativiert. Über die Gründe, warum drei der großen Projekte nicht weiter verfolgt werden, will Oberhauser nicht spekulieren, nennt aber mangelnden Erfolg, Verlagerung der Arbeit in den beteiligten Institutionen sowie Finanzierungsprobleme als mögliche Ursachen. Das größte Entwicklungspotenzial beim automatischen Erschließen großer Dokumentenmengen sieht der Verfasser heute in den Bereichen der Patentund Mediendokumentation. Hier solle man im bibliothekarischen Bereich die Entwicklung genau verfolgen, da diese »sicherlich mittelfristig auf eine qualitativ zufrieden stellende Vollautomatisierung« abziele (S. 146). Oberhausers Darstellung ist ein rundum gelungenes Werk, das zum Handapparat eines jeden, der sich für automatische Erschließung interessiert, gehört."

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