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Authors: Markus John ; Steffen Lohmann ; Steffen Koch ; Michael Wörner and Thomas Ertl

Affiliation: University of Stuttgart, Germany

Keyword(s): Text Visualization, Visual Text Analytics, Digital Humanities, Distant Reading.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Information and Scientific Visualization ; Text and Document Visualization ; Visual Data Analysis and Knowledge Discovery ; Visual Representation and Interaction

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.

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Paper citation in several formats:
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 (VISIGRAPP 2016) - IVAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 27-38. DOI: 10.5220/0005669800270038

@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 (VISIGRAPP 2016) - IVAPP},
year={2016},
pages={27-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669800270038},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - IVAPP
TI - Visual Analytics for Narrative Text - Visualizing Characters and their Relationships as Extracted from Novels
SN - 978-989-758-175-5
IS - 2184-4321
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
PB - SciTePress

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