Visual analysis of stance markers in online social media
Författare
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.
Avdelning/ar
- Engelska
- Language, Cognition and Discourse@Lund (LCD@L)
Publiceringsår
2015-02-13
Språk
Engelska
Sidor
259-260
Publikation/Tidskrift/Serie
2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014 : Proceedings. Paris, France, 9-14 October 2014
Dokumenttyp
Konferensbidrag
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Languages and Literature
- Media and Communications
Nyckelord
- interaction
- NLP
- sentiment analysis
- stance analysis
- text analytics
- text visualization
- time-series
- Visualization
Conference name
2014 IEEE Conference on Visual Analytics Science and Technology, VAST 2014
Conference date
2014-11-09 - 2014-11-14
Conference place
Paris, France
Status
Published
Forskningsgrupp
- Language, Cognition and Discourse@Lund (LCD@L)
ISBN/ISSN/Övrigt
- ISBN: 9781479962273