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Visualization of Relationships in Clustered Text Data
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)
2013 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

There exist lots of text data. They are often extracted into topical tags for indexing. They are also connected by relationships like sharing the same authors, created at the same period. The entirety of above yields a big text network. In this thesis, a visualization tool to reveal information from big text data in the network is introduced. With clustering algorithm, the data are grouped. The groups with tag clouds show the overview of dataset. Edge halo, a new approach for bundling edges, represents the relationships of text data in and between the groups. An application prototype was developed to visualize clustered text data with their relationships and give an overview of the network in one view.

Place, publisher, year, edition, pages
2013.
Keyword [en]
information visualization, text, clustering, relationship, networks, tag clouds, edge bundling
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:lnu:diva-27271OAI: oai:DiVA.org:lnu-27271DiVA: diva2:634060
Subject / course
Computer Science
Educational program
Software Technology Programme, Master Programme, 60 credits
Presentation
2013-06-03, D1136, Vaxjo, Sweden, 11:26 (English)
Supervisors
Examiners
Available from: 2013-06-28 Created: 2013-06-28 Last updated: 2013-06-28Bibliographically approved

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fulltext(5492 kB)578 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf