Visual analysis of stance markers in online social media

Kostiantyn Kucher, Andreas Kerren, Carita Paradis, Magnus Sahlgren

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

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.

Originalspråkengelska
Titel på värdpublikation2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
Undertitel på värdpublikationProceedings. Paris, France, 9-14 October 2014
UtgivningsortPiscataway, NJ
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor259-260
Antal sidor2
ISBN (tryckt)9781479962273
DOI
StatusPublished - 2015 feb. 13
Evenemang2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 - The Marriott Rive-Gauche, Paris, Frankrike
Varaktighet: 2014 nov. 92014 nov. 14

Konferens

Konferens2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
Land/TerritoriumFrankrike
OrtParis
Period2014/11/092014/11/14

Ämnesklassifikation (UKÄ)

  • Språk och litteratur
  • Medie- och kommunikationsvetenskap

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