Visual Analytics for Narrative Text - Visualizing Characters and their Relationships as Extracted from Novels

Markus John, Steffen Lohmann, Steffen Koch, Michael Wörner, Thomas Ertl

2016

Abstract

The study of novels and the analysis of their plot, characters and other entities are time-consuming and complex tasks in literary science. The digitization of literature and the proliferation of electronic books provide new opportunities to support these tasks with visual abstractions. Methods from the fields of computational linguistics can be used to automatically extract entities and their relations from digitized novels, which can then be visualized to ease exploration and analysis tasks. This paper presents a web-based approach that combines automatic analysis methods with effective visualization techniques. Different views on the extracted entities are provided and relations between them across the plot are indicated. Two usage scenarios show successful applications of the approach and demonstrate its benefits and limitations.

Paper Citation

in Harvard Style

John M., Lohmann S., Koch S., Wörner M. and Ertl T. (2016). Visual Analytics for Narrative Text - Visualizing Characters and their Relationships as Extracted from Novels . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 27-38. DOI: 10.5220/0005669800270038

in Bibtex Style

@conference{ivapp16,
author={Markus John and Steffen Lohmann and Steffen Koch and Michael Wörner and Thomas Ertl},
title={Visual Analytics for Narrative Text - Visualizing Characters and their Relationships as Extracted from Novels},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={27-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669800270038},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)
TI - Visual Analytics for Narrative Text - Visualizing Characters and their Relationships as Extracted from Novels
SN - 978-989-758-175-5
AU - John M.
AU - Lohmann S.
AU - Koch S.
AU - Wörner M.
AU - Ertl T.
PY - 2016
SP - 27
EP - 38
DO - 10.5220/0005669800270038