Change search
ReferencesLink to record
Permanent link

Direct link
Methodology and Applications of Visual Stance Analysis: An Interactive Demo
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.
2016 (English)In: International Symposium on Digital Humanities, Växjö 7-8 November 2016: Book of Abstracts, Linnaeus University , 2016, 56-57 p.Conference paper, Poster (Refereed)
Abstract [en]

Analysis of stance in textual data can reveal the attitudes of speakers, ranging from general agreement/disagreement with other speakers to fine-grained indications of wishes and emotions. The implementation of an automatic stance classifier and corresponding visualization techniques facilitates the analysis of human communication and social media texts. Furthermore, scholars in Digital Humanities could also benefit from such an approach by applying it for literature studies. For example, a researcher could explore the usage of such stance categories as certainty or prediction in a novel. Analysis of such abstract categories in longer texts would be complicated or even impossible with simpler tools such as regular expression search.

Our research on automatic and visual stance analysis is concerned with multiple theoretical and practical challenges in linguistics, computational linguistics, and information visualization. In this interactive demo, we demonstrate our web-based visual analytics system called ALVA, which is designed to support the text data annotation and stance classifier training stages. 

Place, publisher, year, edition, pages
Linnaeus University , 2016. 56-57 p.
Keyword [en]
Digital humanities, Stance, Visualization, Interaction, NLP, Visual analytics, Annotation, Classifier training
National Category
Computer Science Human Computer Interaction Language Technology (Computational Linguistics)
Research subject
Computer Science, Information and software visualization
URN: urn:nbn:se:lnu:diva-57763OAI: diva2:1044059
International Symposium on Digital Humanities, Växjö, Sweden, November 7-8, 2016
Swedish Research Council, 2012-5659
Available from: 2016-11-01 Created: 2016-11-01 Last updated: 2016-11-09

Open Access in DiVA

fulltext(1396 kB)16 downloads
File information
File name FULLTEXT01.pdfFile size 1396 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Books of abstractw

Search in DiVA

By author/editor
Kucher, KostiantynKerren, AndreasParadis, Carita
By organisation
Department of Computer Science
Computer ScienceHuman Computer InteractionLanguage Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
Total: 16 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 64 hits
ReferencesLink to record
Permanent link

Direct link