Search (31 results, page 1 of 2)

  • × type_ss:"a"
  • × theme_ss:"Inhaltsanalyse"
  1. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01 
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    Date
    5. 8.2006 13:22:44
    Theme
    Schöne Literatur
  2. Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992) 0.01 
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    Date
    5. 8.2006 13:22:08
    Theme
    Schöne Literatur
  3. Pejtersen, A.M.: Fiction and library classification (1978) 0.01 
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    Theme
    Schöne Literatur
  4. Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983) 0.00 
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    Theme
    Schöne Literatur
  5. Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984) 0.00 
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    Theme
    Schöne Literatur
  6. Pejtersen, A.M.: Implications of users' value perception for the design of knowledge based bibliographic retrieval systems (1985) 0.00 
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    Theme
    Schöne Literatur
  7. Laffal, J.: ¬A concept analysis of Jonathan Swift's 'Tale of a tub' and 'Gulliver's travels' (1995) 0.00 
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    Schöne Literatur
  8. Martindale, C.; McKenzie, D.: On the utility of content analysis in author attribution : 'The federalist' (1995) 0.00 
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    Theme
    Schöne Literatur
  9. Hauff-Hartig, S.: Automatische Transkription von Videos : Fernsehen 3.0: Automatisierte Sentimentanalyse und Zusammenstellung von Kurzvideos mit hohem Aufregungslevel KI-generierte Metadaten: Von der Technologiebeobachtung bis zum produktiven Einsatz (2021) 0.00 
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    Abstract
    Die dritte Session, die von Michael Vielhaber vom Österreichischen Rundfunk moderiert wurde, machte die Teilnehmerinnen und Teilnehmer mit zukunftsweisenden Werkzeugen und Konzepten zur KI-unterstützten Erschließung von Audio- und Videodateien bekannt. Alle vier vorgestellten Technologien bewähren sich bereits in ihren praktischen Anwendungsumgebungen.
    Date
    22. 5.2021 12:43:05
  10. Pejtersen, A.M.: ¬A new approach to the classification of fiction (1982) 0.00 
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    Theme
    Schöne Literatur
  11. Moraes, J.B.E. de: Aboutness in fiction : methodological perspectives for knowledge organization (2012) 0.00 
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    Schöne Literatur
  12. Hidderley, R.; Rafferty, P.: Democratic indexing : an approach to the retrieval of fiction (1997) 0.00 
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    Schöne Literatur
  13. Morehead, D.R.; Pejtersen, A.M.; Rouse, W.B.: ¬The value of information and computer-aided information seeking : problem formulation and application to fiction retrieval (1984) 0.00 
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    Schöne Literatur
  14. Beghtol, C.: Stories : applications of narrative discourse analysis to issues in information storage and retrieval (1997) 0.00 
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    Schöne Literatur
  15. Solomon, P.: Access to fiction for children : a user-based assessment of options and opportunities (1997) 0.00 
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    Schöne Literatur
  16. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 0.00 
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    Schöne Literatur
  17. Andersson, R.; Holst, E.: Indexes and other depictions of fictions : a new model for analysis empirically tested (1996) 0.00 
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    Theme
    Schöne Literatur
  18. Klüver, J.; Kier, R.: Rekonstruktion und Verstehen : ein Computer-Programm zur Interpretation sozialwissenschaftlicher Texte (1994) 0.00 
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    Source
    Sprache und Datenverarbeitung. 18(1994) H.1, S.3-15
  19. Franke-Maier, M.; Harbeck, M.: Superman = Persepolis = Naruto? : Herausforderungen und Probleme der formalen und inhaltlichen Vielfalt von Comics und Comicforschung für die Regensburger Verbundklassifikation (2016) 0.00 
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    Abstract
    Das populäre Medium Comic hat in den vergangenen Jahren zunehmend Interesse als wissenschaftliches Forschungsobjekt und damit auch als bibliothekarisches Sammlungsgut auf sich gezogen. Bibliotheken stehen vor der Aufgabe, die Primärquellen und vor allem die wissenschaftliche Forschungsliteratur zu Comics inhaltlich zu erschließen und nach wie vor auch systematisch zu präsentieren. Bis vor kurzem fand man in der in Deutschland am weitesten verbreiteten Klassifikation, der im Selbstverständnis wissenschaftsnahen Regensburger Verbundklassifikation, nur Einzelstellen in einzelnen Fachsystematiken und einen größeren Bereich in der Japanologie für das Phänomen Manga. Dieser Zustand war nicht ausreichend für eine differenzierte Aufstellung in Bibliotheken mit entsprechenden Beständen und Schwerpunkten. Der hier präsentierte RVK-Baum für Comics und Comicforschung wird diesem Desiderat gerecht und bietet eine Möglichkeit, Comicbestände adäquat klassifikatorisch abzubilden.
  20. Miene, A.; Hermes, T.; Ioannidis, G.: Wie kommt das Bild in die Datenbank? : Inhaltsbasierte Analyse von Bildern und Videos (2002) 0.00 
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    Abstract
    Die verfügbare multimediale Information nimmt stetig zu, nicht zuletzt durch die Tag für Tag wachsende Zahl an neuer Information im Internet. Damit man dieser Flut Herr werden und diese Information wieder abrufbar machen kann, muss sie annotiert und geeignet in Datenbanken abgelegt werden. Hier besteht das Problem der manuellen Annotation, das einerseits durch die Ermüdung aufgrund der Routinearbeit und andererseits durch die Subjektivität des Annotierenden zu Fehlern in der Annotation führen kann. Unterstützende Systeme, die dem Dokumentar genau diese Routinearbeit abnehmen, können hier bis zu einem gewissen Grad Abhilfe schaffen. Die wissenschaftliche Erschließung von beispielsweise filmbeiträgen wird der Dokumentar zwar immer noch selbst machen müssen und auch sollen, aber die Erkennung und Dokumentation von sog. Einstellungsgrenzen kann durchaus automatisch mit Unterstützung eines Rechners geschehen. In diesem Beitrag zeigen wir anhand von Projekten, die wir durchgeführt haben, wie weit diese Unterstützung des Dokumentars bei der Annotation von Bildern und Videos gehen kann
    Source
    Information - Wissenschaft und Praxis. 53(2002) H.1, S.15-21

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  • e 21
  • d 10

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