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Visual analysis of stance markers in online social media

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Author

Summary, in English

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.

Department/s

Publishing year

2014

Language

English

Document type

Conference paper

Topic

  • Languages and Literature

Keywords

  • visualization
  • text visualization
  • interaction
  • time-series
  • stance analsyis
  • sentiment analysis
  • NLP
  • text analystics

Conference name

IEEE Visual Analytics Science and Technology (VAST '14),

Conference date

2014-09-14

Status

Published