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Visual Analysis of Stance Markers in Online Social Media
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-1907-7820
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
Lund University.ORCID iD: 0000-0002-7240-9003
Gavagai AB.
2014 (English)In: Poster Abstracts of IEEE VIS 2014, 2014Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Stance in human communication is a linguistic concept relating to expressions of subjectivity such as the speakers’ attitudes and emotions. Taking stance is crucial for the social construction of meaning and can be useful for many application fields such as business intelligence, security analytics, or social media monitoring. In order to process large amounts of text data for stance analyses, linguists need interactive tools to explore the textual sources as well as the results of computational linguistics techniques. Both aspects are important for refining the analyses iteratively. In this work, we present a visual analytics tool for online social media text data and corresponding time-series that can be used to investigate stance phenomena and to refine the so-called stance markers collection. 

Place, publisher, year, edition, pages
2014.
Keywords [en]
visualization, text visualization, interaction, time-series, stance analysis, sentiment analysis, NLP, text analytics
National Category
Computer Sciences Human Computer Interaction Language Technology (Computational Linguistics) Specific Languages
Research subject
Computer Science, Information and software visualization; Humanities, Linguistics
Identifiers
URN: urn:nbn:se:lnu:diva-36297DOI: 10.1109/VAST.2014.7042519ISI: 000380474000044Scopus ID: 2-s2.0-84929460615OAI: oai:DiVA.org:lnu-36297DiVA, id: diva2:736263
Conference
IEEE Visual Analytics Science and Technology (VAST '14), Paris, France, 2014
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659Available from: 2014-08-05 Created: 2014-08-05 Last updated: 2018-02-16Bibliographically approved

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Kucher, KostiantynKerren, AndreasParadis, Carita

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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