DoSVis: Document stance visualization

Kostiantyn Kucher, Carita Paradis, Andreas Kerren

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

1 Citation (SciVal)

Abstract

Text visualization techniques often make use of automatic text classification methods. One of such methods is stance analysis, which is concerned with detecting various aspects of the writer's attitude towards utterances expressed in the text. Existing text visualization approaches for stance classification results are usually adapted to textual data consisting of individual utterances or short messages, and they are often designed for social media or debate monitoring tasks. In this paper, we propose a visualization approach called DoSVis (Document Stance Visualization) that focuses instead on individual text documents of a larger length. DoSVis provides an overview of multiple stance categories detected by our classifier at the utterance level as well as a detailed text view annotated with classification results, thus supporting both distant and close reading tasks. We describe our approach by discussing several application scenarios involving business reports and works of literature.

Original languageEnglish
Title of host publicationProceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
PublisherSciTePress
Pages168-175
Number of pages8
Volume3
ISBN (Electronic)9789897582899
Publication statusPublished - 2018 Jan 1
Event13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 - Funchal, Madeira, Portugal
Duration: 2018 Jan 272018 Jan 29

Conference

Conference13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period2018/01/272018/01/29

Subject classification (UKÄ)

  • Language Technology (Computational Linguistics)

Keywords

  • Information Visualization
  • Interaction
  • Sentiment Analysis
  • Sentiment Visualization
  • Stance Analysis
  • Stance Visualization
  • Text Analytics
  • Text Visualization

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