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Title [sv]
Nya landvinningar inom beskrivning och förklaring av ställningstagande i språklig kommunikation genom datalogiska och informationvisualseringsmetoder innovationer - StaViCTA
Title [en]
Advances in the description and explanation of stance in discourse using visual and computational text analytics - StaViCTA
Abstract [en]
This interdisciplinary project across semantics, computational linguistics and information visualization investigates stance in human communication. Stancetaking is the expression of attitudes, feelings, perspectives, judgements, doubts, trust and certainty, and is crucial for the social construction of meaning. Stancetaking is a forceful factor in the communicative dynamics of Web-based social media such as websites, blogs, communities or forums. This project focuses on analyzing stance in such real-world streaming language data. Our goal is to identify the resources that language offers, how these resources act together and how they evolve in large amounts of digital text over time. This goal is achieved through the development of innovative, computational and interactive information visualization techniques. We propose a visual text analytics approach for the description, explanation and interpretation of stance in digital text media that includes automatic analyses seamlessly interwoven with interactive visualizations. This combination will make it possible for human beings to make sense of large and dynamic text data and allows for exploration, control and final evaluation of the analysis processes and results. Such an approach for analyzing stance is crucial for many application fields, including intelligence and security analytics, early warning and crisis management systems, financial analytics and business intelligence, or social media monitoring.
Principal InvestigatorKerren, Andreas
Coordinating organisation
Linnaeus University
Funder
Period
2012-01-01 － 2016-12-31
National Category
Computer SciencesLanguage Technology (Computational Linguistics)General Language Studies and Linguistics
Identifiers
DiVA, id: project:105Project, id: 2012-05659_VR
v. 2.47.0
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