Search (12 results, page 1 of 1)

  • × theme_ss:"Inhaltsanalyse"
  1. Ahmad, N.: Newspaper indexing : an international overview (1991) 0.07
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    Abstract
    Comprehensiveness and consistency in newspaper indexing depend on the effectiveness of subject analysis of the news items. Discusses indexing skills required in order to identify indexable concepts. Describes practical aspects of conceptual analysis, crystalises criteria and methods for the indexing of news stories, and eludicates reasons form providing multiple subject-entries for certain news items. Suggests rules for news analysis and speedy and accurate allocation of subject headings, and illustrates the technique of dealing with complex and diversified news headings reported at intervals. As the headlines do not always indicate the real subject of a news story, the identification of indexable concepts can become arduous and cumbersome. Discusses the methods, skills and capability needed to tackle such problems
  2. Zarri, G.P.: Indexing and querying of narrative documents, a knowledge representation approach (2003) 0.03
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    Abstract
    We describe here NKRL (Narrative Knowledge Representation Language), a semantic formalism for taking into account the characteristics of narrative multimedia documents. In these documents, the information content consists in the description of 'events' that relate the real or intended behaviour of some 'actors' (characters, personages, etc.). Narrative documents of an economic interest correspond to news stories, corporate documents, normative and legal texts, intelligence messages, representation of patient's medical records, etc. NKRL is characterised by the use of several knowledge representation principles and several high-level inference tools.
  3. Thelwall, M.; Buckley, K.; Paltoglou, G.: Sentiment strength detection for the social web (2012) 0.02
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    Abstract
    Sentiment analysis is concerned with the automatic extraction of sentiment-related information from text. Although most sentiment analysis addresses commercial tasks, such as extracting opinions from product reviews, there is increasing interest in the affective dimension of the social web, and Twitter in particular. Most sentiment analysis algorithms are not ideally suited to this task because they exploit indirect indicators of sentiment that can reflect genre or topic instead. Hence, such algorithms used to process social web texts can identify spurious sentiment patterns caused by topics rather than affective phenomena. This article assesses an improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment. The results from six diverse social web data sets (MySpace, Twitter, YouTube, Digg, Runners World, BBC Forums) indicate that SentiStrength 2 is successful in the sense of performing better than a baseline approach for all data sets in both supervised and unsupervised cases. SentiStrength is not always better than machine-learning approaches that exploit indirect indicators of sentiment, however, and is particularly weaker for positive sentiment in news-related discussions. Overall, the results suggest that, even unsupervised, SentiStrength is robust enough to be applied to a wide variety of different social web contexts.
  4. 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) 0.02
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    Date
    5. 8.2006 13:22:44
  5. 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
  6. 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
  7. Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012) 0.01
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    Date
    22. 1.2012 13:02:10
    Source
    Knowledge organization. 39(2012) no.1, S.13-22
  8. Weimer, K.H.: ¬The nexus of subject analysis and bibliographic description : the case of multipart videos (1996) 0.01
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    Source
    Cataloging and classification quarterly. 22(1996) no.2, S.5-18
  9. Chen, S.-J.; Lee, H.-L.: Art images and mental associations : a preliminary exploration (2014) 0.01
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  10. White, M.D.; Marsh, E.E.: Content analysis : a flexible methodology (2006) 0.01
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    Source
    Library trends. 55(2006) no.1, S.22-45
  11. Sauperl, A.: Subject determination during the cataloging process : the development of a system based on theoretical principles (2002) 0.01
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    Date
    27. 9.2005 14:22:19
  12. Bade, D.: ¬The creation and persistence of misinformation in shared library catalogs : language and subject knowledge in a technological era (2002) 0.00
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    Date
    22. 9.1997 19:16:05