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Transparency and visualization in Text mining: A case study of Connected Concept analysis with Textometrica
Umeå University, Faculty of Arts, Humlab.
University of Rennes II . (Department of Art, Aesthetics, Digital humanities)
2013 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

In the digital age, large amounts of text date are increasingly available. Information visualization has become an important approach for handling these large datasets.  But a critical perspective is still required in the process of analyzing data, as well as in the communication of methods and results.

The researcher must ensure that the approaches provide the quality, transparency and precision needed for the research questions to be answered. In this paper we will report about a case study of the research method Connected Concept Analysis (Lindgren 2011) and the design of the tool Textometrica  (Lindgren & Palm 2012).

Place, publisher, year, edition, pages
2013.
Keyword [en]
text-mining, distant reading, close-reading, co-occurrences analysis visualization
National Category
Art History Visual Arts
Identifiers
URN: urn:nbn:se:umu:diva-81701OAI: oai:DiVA.org:umu-81701DiVA: diva2:658172
Conference
SASS CONFERENCE 2013, 103rd Annual Meeting of the Society for the Advancement of Scandinavian Study, MAY 2-4, San Francisco 2013
Available from: 2013-10-21 Created: 2013-10-21 Last updated: 2013-11-14Bibliographically approved

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Palm, Fredrik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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Output format
  • html
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  • asciidoc
  • rtf