DoSVis: Document Stance Visualization

Kostiantyn Kucher, Carita Paradis, Andreas Kerren

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.

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Paper Citation


in Harvard Style

Kucher K., Paradis C. and Kerren A. (2018). DoSVis: Document Stance Visualization.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-289-9, pages 168-175. DOI: 10.5220/0006539101680175


in Bibtex Style

@conference{ivapp18,
author={Kostiantyn Kucher and Carita Paradis and Andreas Kerren},
title={DoSVis: Document Stance Visualization},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2018},
pages={168-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006539101680175},
isbn={978-989-758-289-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - DoSVis: Document Stance Visualization
SN - 978-989-758-289-9
AU - Kucher K.
AU - Paradis C.
AU - Kerren A.
PY - 2018
SP - 168
EP - 175
DO - 10.5220/0006539101680175