Search (38 results, page 1 of 2)

  • × 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) 0.06
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    Date
    5. 8.2006 13:22:44
  2. Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992) 0.06
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    Date
    5. 8.2006 13:22:08
    Source
    Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon
  3. Weimer, K.H.: ¬The nexus of subject analysis and bibliographic description : the case of multipart videos (1996) 0.04
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    Source
    Cataloging and classification quarterly. 22(1996) no.2, S.5-18
  4. Pejtersen, A.M.: ¬A new approach to the classification of fiction (1982) 0.03
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    Source
    Universal classification I: subject analysis and ordering systems. Proc. of the 4th Int. Study Conf. on Classification Research, Augsburg, 28.6.-2.7.1982. Ed. I. Dahlberg
  5. Pejtersen, A.M.: Fiction and library classification (1978) 0.02
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  6. Beghtol, C.: Bibliographic classification theory and text linguistics : aboutness, analysis, intertextuality and the cognitive act of classifying documents (1986) 0.02
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  7. Bland, R.N.: ¬The concept of intellectual level in cataloging and classification (1983) 0.02
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    Abstract
    This paper traces the history of the concept of intellectual level in cataloging and classification in the United States. Past cataloging codes, subject-heading practice, and classification systems have provided library users with little systematic information concerning the intellectual level or intended audience of works. Reasons for this omission are discussed, and arguments are developed to show that this kind of information would be a useful addition to the catalog record of the present and the future.
    Source
    Cataloging and classification quarterly. 4(1983) no.1, S.53-63
  8. Vieira, L.: Modèle d'analyse pur une classification du document iconographique (1999) 0.02
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    Footnote
    Übers. d. Titels: Analyse model for a classification of iconographic documents
  9. Merrill, W.S.: Code for classifiers : principles governing the consistent placing of books in a system of classification (1969) 0.02
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  10. Sauperl, A.: Subject determination during the cataloging process : the development of a system based on theoretical principles (2002) 0.02
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    Date
    27. 9.2005 14:22:19
    Footnote
    Rez. in: Knowledge organization 30(2003) no.2, S.114-115 (M. Hudon); "This most interesting contribution to the literature of subject cataloguing originates in the author's doctoral dissertation, prepared under the direction of jerry Saye at the University of North Carolina at Chapel Hill. In seven highly readable chapters, Alenka Sauperl develops possible answers to her principal research question: How do cataloguers determine or identify the topic of a document and choose appropriate subject representations? Specific questions at the source of this research an a process which has not been a frequent object of study include: Where do cataloguers look for an overall sense of what a document is about? How do they get an overall sense of what a document is about, especially when they are not familiar with the discipline? Do they consider only one or several possible interpretations? How do they translate meanings in appropriate and valid class numbers and subject headings? Using a strictly qualitative methodology, Dr. Sauperl's research is a study of twelve cataloguers in reallife situation. The author insists an the holistic rather than purely theoretical understanding of the process she is targeting. Participants in the study were professional cataloguers, with at least one year experience in their current job at one of three large academic libraries in the Southeastern United States. All three libraries have a large central cataloguing department, and use OCLC sources and the same automated system; the context of cataloguing tasks is thus considered to be reasonably comparable. All participants were volunteers in this study which combined two datagathering techniques: the think-aloud method and time-line interviews. A model of the subject cataloguing process was first developed from observations of a group of six cataloguers who were asked to independently perform original cataloguing an three nonfiction, non-serial items selected from materials regularly assigned to them for processing. The model was then used for follow-up interviews. Each participant in the second group of cataloguers was invited to reflect an his/her work process for a recent challenging document they had catalogued. Results are presented in 12 stories describing as many personal approaches to subject cataloguing. From these stories a summarization is offered and a theoretical model of subject cataloguing is developed which, according to the author, represents a realistic approach to subject cataloguing. Stories alternate comments from the researcher and direct quotations from the observed or interviewed cataloguers. Not surprisingly, the participants' stories reveal similarities in the sequence and accomplishment of several tasks in the process of subject cataloguing. Sauperl's proposed model, described in Chapter 5, includes as main stages: 1) Examination of the book and subject identification; 2) Search for subject headings; 3) Classification. Chapter 6 is a hypothetical Gase study, using the proposed model to describe the various stages of cataloguing a hypothetical resource. ...
  11. Jörgensen, C.: ¬The applicability of selected classification systems to image attributes (1996) 0.02
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    Abstract
    Recent research investigated image attributes as reported by participants in describing, sorting, and searching tasks with images and defined 46 specific image attributes which were then organized into 12 major classes. Attributes were also grouped as being 'perceptual' (directly stimulated by visual percepts), 'interpretive' (requiring inference from visual percepts), and 'reactive' (cognitive and affective responses to the images). This research describes the coverage of two image indexing and classification systems and one general classification system in relation to the previous findings and analyzes the extent to which components of these systems are capable of describing the range of image attributes as revealed by the previous research
  12. Langridge, D.W.: Subject analysis : principles and procedures (1989) 0.02
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    Abstract
    Subject analysis is the basis of all classifying and indexing techniques and is equally applicable to automatic and manual indexing systems. This book discusses subject analysis as an activity in its own right, independent of any indexing language. It examines the theoretical basis of subject analysis using the concepts of forms of knowledge as applicable to classification schemes.
    LCSH
    Classification / Books
    Subject
    Classification / Books
  13. Wyllie, J.: Concept indexing : the world beyond the windows (1990) 0.02
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    Abstract
    This paper argues that the realisation of the electronic hypermedia of the future depends on integrating the technology of free text retrieval with the classification-based discipline of content analysis
  14. Wilkinson, C.L.: Intellectual level as a search enhancement in the online environment : summation and implications (1990) 0.02
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    Abstract
    This paper summarizes the papers presented by the members of the panel on "The Concept of Intellectual Level in Cataloging and Classification." The implication of adding intellectual level to the MARC record and creating intellectual level indexes in online catalogs are discussed. Conclusion is reached that providing intellectual level will not only be costly but may perhaps even be a disservice to library users.
    Source
    Cataloging and classification quarterly. 11(1990) no.1, S.89-97
  15. Bi, Y.: Sentiment classification in social media data by combining triplet belief functions (2022) 0.02
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    Abstract
    Sentiment analysis is an emerging technique that caters for semantic orientation and opinion mining. It is increasingly used to analyze online reviews and posts for identifying people's opinions and attitudes to products and events in order to improve business performance of companies and aid to make better organizing strategies of events. This paper presents an innovative approach to combining the outputs of sentiment classifiers under the framework of belief functions. It consists of the formulation of sentiment classifier outputs in the triplet evidence structure and the development of general formulas for combining triplet functions derived from sentiment classification results via three evidential combination rules along with comparative analyses. The empirical studies have been conducted on examining the effectiveness of our method for sentiment classification individually and in combination, and the results demonstrate that the best combined classifiers by our method outperforms the best individual classifiers over five review datasets.
  16. Beghtol, C.: ¬The classification of fiction : the development of a system based on theoretical principles (1994) 0.01
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    Abstract
    The work is an adaptation of the author's dissertation and has the following chapters: (1) background and introduction; (2) a problem in classification theory; (3) previous fiction analysis theories and systems and 'The left hand of darkness'; (4) fiction warrant and critical warrant; (5) experimental fiction analysis system (EFAS); (6) application and evaluation of EFAS. Appendix 1 gives references to fiction analysis systems and appendix 2 lists EFAS coding sheets
  17. Shatford, S.: Analyzing the subject of a picture : a theoretical approach (1986) 0.01
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    Abstract
    This paper suggests a theoretical basis for identifying and classifying the kinds of subjects a picture may have, using previously developed principles of cataloging and classification, and concepts taken from the philosophy of art, from meaning in language, and from visual perception. The purpose of developing this theoretical basis is to provide the reader with a means for evaluating, adapting, and applying presently existing indexing languages, or for devising new languages for pictorial materials; this paper does not attempt to invent or prescribe a particular indexing language.
    Source
    Cataloging and classification quarterly. 6(1986) no.3, S.39-62
  18. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 0.01
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    Abstract
    This article describes multiple experiments in text mining at Northern Illinois University that were undertaken to improve the efficiency and accuracy of cataloging. It focuses narrowly on subject analysis of dime novels, a format of inexpensive fiction that was popular in the United States between 1860 and 1915. NIU holds more than 55,000 dime novels in its collections, which it is in the process of comprehensively digitizing. Classification, keyword extraction, named-entity recognition, clustering, and topic modeling are discussed as means of assigning subject headings to improve their discoverability by researchers and to increase the productivity of digitization workflows.
    Source
    Cataloging and classification quarterly. 57(2019) no.5, S.315-336
  19. Holley, R.M.; Joudrey, D.N.: Aboutness and conceptual analysis : a review (2021) 0.01
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    Content
    Vgl.: https://doi.org/10.1080/01639374.2020.1856992. Teil eines Themenheftes: Cataloging and Classification: Back to Basics
    Source
    Cataloging and classification quarterly. 59(2021) no.2/3, S.159-185
  20. 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) 0.01
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    Date
    22. 5.2021 12:43:05