-
Renouf, A.: Making sense of text : automated approaches to meaning extraction (1993)
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- Source
- Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
-
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)
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- Date
- 5. 8.2006 13:22:44
-
Wilkinson, C.L.: Intellectual level as a search enhancement in the online environment : summation and implications (1990)
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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.
-
Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992)
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- Date
- 5. 8.2006 13:22:08
-
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)
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- Date
- 22. 5.2021 12:43:05
-
Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012)
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- Date
- 22. 1.2012 13:02:10
- Source
- Knowledge organization. 39(2012) no.1, S.13-22
-
Tibbo, H.R.: Abstracting across the disciplines : a content analysis of abstracts for the natural sciences, the social sciences, and the humanities with implications for abstracting standards and online information retrieval (1992)
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-
Dooley, J.M.: Subject indexing in context : subject cataloging of MARC AMC format archical records (1992)
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- Abstract
- Integration of archival materials catalogued in the USMARC AMC format into online catalogues has given a new urgency to the need for direct subject access. Offers a broad definition of the concepts to be considered under the subject access heading, including not only topical subjects but also proper names, forms of material, time periods, geographic places, occupations, and functions. It is both necessary and possible to provide more consistent subject access to archives and manuscripts than currently is being achieved. Describes current efforts that are under way in the profession to address this need
-
Weimer, K.H.: ¬The nexus of subject analysis and bibliographic description : the case of multipart videos (1996)
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- Source
- Cataloging and classification quarterly. 22(1996) no.2, S.5-18
-
Chen, S.-J.; Lee, H.-L.: Art images and mental associations : a preliminary exploration (2014)
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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
-
White, M.D.; Marsh, E.E.: Content analysis : a flexible methodology (2006)
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- Source
- Library trends. 55(2006) no.1, S.22-45
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Bertola, F.; Patti, V.: Ontology-based affective models to organize artworks in the social semantic web (2016)
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- Abstract
- In this paper, we focus on applying sentiment analysis to resources from online art collections, by exploiting, as information source, tags intended as textual traces that visitors leave to comment artworks on social platforms. We present a framework where methods and tools from a set of disciplines, ranging from Semantic and Social Web to Natural Language Processing, provide us the building blocks for creating a semantic social space to organize artworks according to an ontology of emotions. The ontology is inspired by the Plutchik's circumplex model, a well-founded psychological model of human emotions. Users can be involved in the creation of the emotional space, through a graphical interactive interface. The development of such semantic space enables new ways of accessing and exploring art collections. The affective categorization model and the emotion detection output are encoded into W3C ontology languages. This gives us the twofold advantage to enable tractable reasoning on detected emotions and related artworks, and to foster the interoperability and integration of tools developed in the Semantic Web and Linked Data community. The proposal has been evaluated against a real-word case study, a dataset of tagged multimedia artworks from the ArsMeteo Italian online collection, and validated through a user study.
-
Marsh, E.E.; White, M.D.: ¬A taxonomy of relationships between images and text (2003)
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- Abstract
- The paper establishes a taxonomy of image-text relationships that reflects the ways that images and text interact. It is applicable to all subject areas and document types. The taxonomy was developed to answer the research question: how does an illustration relate to the text with which it is associated, or, what are the functions of illustration? Developed in a two-stage process - first, analysis of relevant research in children's literature, dictionary development, education, journalism, and library and information design and, second, subsequent application of the first version of the taxonomy to 954 image-text pairs in 45 Web pages (pages with educational content for children, online newspapers, and retail business pages) - the taxonomy identifies 49 relationships and groups them in three categories according to the closeness of the conceptual relationship between image and text. The paper uses qualitative content analysis to illustrate use of the taxonomy to analyze four image-text pairs in government publications and discusses the implications of the research for information retrieval and document design.
-
Bi, Y.: Sentiment classification in social media data by combining triplet belief functions (2022)
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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.
-
Rosso, M.A.: User-based identification of Web genres (2008)
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- Abstract
- This research explores the use of genre as a document descriptor in order to improve the effectiveness of Web searching. A major issue to be resolved is the identification of what document categories should be used as genres. As genre is a kind of folk typology, document categories must enjoy widespread recognition by their intended user groups in order to qualify as genres. Three user studies were conducted to develop a genre palette and show that it is recognizable to users. (Palette is a term used to denote a classification, attributable to Karlgren, Bretan, Dewe, Hallberg, and Wolkert, 1998.) To simplify the users' classification task, it was decided to focus on Web pages from the edu domain. The first study was a survey of user terminology for Web pages. Three participants separated 100 Web page printouts into stacks according to genre, assigning names and definitions to each genre. The second study aimed to refine the resulting set of 48 (often conceptually and lexically similar) genre names and definitions into a smaller palette of user-preferred terminology. Ten participants classified the same 100 Web pages. A set of five principles for creating a genre palette from individuals' sortings was developed, and the list of 48 was trimmed to 18 genres. The third study aimed to show that users would agree on the genres of Web pages when choosing from the genre palette. In an online experiment in which 257 participants categorized a new set of 55 pages using the 18 genres, on average, over 70% agreed on the genre of each page. Suggestions for improving the genre palette and future directions for the work are discussed.
-
Sauperl, A.: Subject determination during the cataloging process : the development of a system based on theoretical principles (2002)
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- Date
- 27. 9.2005 14:22:19
-
Bade, D.: ¬The creation and persistence of misinformation in shared library catalogs : language and subject knowledge in a technological era (2002)
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- Date
- 22. 9.1997 19:16:05
