Search (25 results, page 1 of 2)

  • × type_ss:"a"
  • × theme_ss:"Inhaltsanalyse"
  1. Garcia Jiménez, A.; Valle Gastaminza, F. del: From thesauri to ontologies: a case study in a digital visual context (2004) 0.01 
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    Date
    29. 8.2004 16:20:55
  2. Laffal, J.: ¬A concept analysis of Jonathan Swift's 'Tale of a tub' and 'Gulliver's travels' (1995) 0.01 
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    Date
    8. 3.1997 10:05:29
    Source
    Computers and the humanities. 29(1995) no.5, S.339-361
  3. Martindale, C.; McKenzie, D.: On the utility of content analysis in author attribution : 'The federalist' (1995) 0.01 
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    Date
    8. 3.1997 10:05:29
    Source
    Computers and the humanities. 29(1995) no.4, S.259-270
  4. Gardin, J.C.: Document analysis and linguistic theory (1973) 0.01 
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    Source
    Journal of documentation. 29(1973) no.2, S.137-168
  5. Mochmann. E.: Inhaltsanalyse in den Sozialwissenschaften (1985) 0.01 
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  6. Vieira, L.: Modèle d'analyse pur une classification du document iconographique (1999) 0.00 
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    Language
    f
  7. 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.
  8. Pozzi de Sousa, B.; Ortega, C.D.: Aspects regarding the notion of subject in the context of different theoretical trends : teaching approaches in Brazil (2018) 0.00 
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  9. 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) 0.00 
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    Date
    5. 8.2006 13:22:44
  10. Saif, H.; He, Y.; Fernandez, M.; Alani, H.: Contextual semantics for sentiment analysis of Twitter (2016) 0.00 
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    Abstract
    Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments. Results show that our approach significantly outperforms the baselines in accuracy and F-measure for entity-level subjectivity (neutral vs. polar) and polarity (positive vs. negative) detections. For tweet-level sentiment detection, our approach performs better than the state-of-the-art SentiStrength by 4-5% in accuracy in two datasets, but falls marginally behind by 1% in F-measure in the third dataset.
  11. Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992) 0.00 
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    Date
    5. 8.2006 13:22:08
  12. 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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    Date
    22. 5.2021 12:43:05
  13. Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012) 0.00 
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    Date
    22. 1.2012 13:02:10
    Source
    Knowledge organization. 39(2012) no.1, S.13-22
  14. Hjoerland, B.: Towards a theory of aboutness, subject, topicality, theme, domain, field, content ... and relevance (2001) 0.00 
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    Date
    29. 9.2001 14:03:14
  15. Chen, H.: ¬An analysis of image queries in the field of art history (2001) 0.00 
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    Abstract
    Chen arranged with an Art History instructor to require 20 medieval art images in papers received from 29 students. Participants completed a self administered presearch and postsearch questionnaire, and were interviewed after questionnaire analysis, in order to collect both the keywords and phrases they planned to use, and those actually used. Three MLIS student reviewers then mapped the queries to Enser and McGregor's four categories, Jorgensen's 12 classes, and Fidel's 12 feature data and object poles providing a degree of match on a seven point scale (one not at all to 7 exact). The reviewers give highest scores to Enser and McGregor;'s categories. Modifications to both the Enser and McGregor and Jorgensen schemes are suggested
  16. Marshall, L.: Specific and generic subject headings : increasing subject access to library materials (2003) 0.00 
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    Date
    30. 7.2006 14:29:04
  17. Shatford, S.: Analyzing the subject of a picture : a theoretical approach (1986) 0.00 
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    Date
    7. 1.2007 13:00:29
  18. Bertola, F.; Patti, V.: Ontology-based affective models to organize artworks in the social semantic web (2016) 0.00 
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  19. Greisdorf, H.; O'Connor, B.: Modelling what users see when they look at images : a cognitive viewpoint (2002) 0.00 
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    Source
    Journal of documentation. 58(2002) no.1, S.6-29
  20. Caldera-Serrano, J.: Thematic description of audio-visual information on television (2010) 0.00 
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    Date
    29. 8.2010 12:40:35

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