Content-based Analysis and Visualization of Story Complexity

Flekova, Lucie; Stoffel, Florian; Gurevych, Iryna; Keim, Daniel A.

Content-based Analysis and Visualization of Story Complexity

Dateien

Flekova_2-16xiv5gl4ojrm1.pdfGröße: 2.33 MBDownloads: 105

Datum

2018

Autor:innen

Flekova, Lucie

Stoffel, Florian

Gurevych, Iryna

Keim, Daniel A.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Sammelband

Publikationsstatus

Published

Erschienen in

BUBENHOFER, Noah, ed., Marc KUPIETZ, ed.. Visualisierung sprachlicher Daten : Visual Linguistics – Praxis – Tools. Heidelberg: Heidelberg University Publishing, 2018, pp. 185-223. ISBN 978-3-946054-77-1. Available under: doi: 10.17885/heiup.345.474

Zusammenfassung

Obtaining insights into the style and content characteristics of a novel can provide a benefit to a large number of users. Parents and teachers may be interested in finding appropriate books for children. Booksellers may want to assess the fit of a candidate’s artwork into their portfolio or determine the target audience for their promotion activities. Literature scholars might discover particular stylistic similarities in writing patterns of different authors. For all of the above, manually reviewing the textual content of the books is a tedious and time-consuming task which can be achieved only to a limited level of detail. The combination of automated data analysis of literature and computer-based visualization techniques proves to be powerful in giving a quick overview as well as providing details of the visualized data. In this chapter we define the umbrella term Story Complexity, and outline the text data analysis required to describe properties of literature contributing to the numerous aspects of this term. We introduce a multi-faceted model of story complexity by addressing numerous aspects of writing, which can pose difficulties to human readers attempting to follow a storyline in fictional literature. Approximations of these aspects are computed automatically with state of the art Natural Language Processing methods. We present the corresponding text data analysis methods, as well as giving examples of how the extracted data can be presented visually, so that the results of the data analysis can be perceived more effectively than by examining the extracted properties of text in a numeric way.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

FLEKOVA, Lucie, Florian STOFFEL, Iryna GUREVYCH, Daniel A. KEIM, 2018. Content-based Analysis and Visualization of Story Complexity. In: BUBENHOFER, Noah, ed., Marc KUPIETZ, ed.. Visualisierung sprachlicher Daten : Visual Linguistics – Praxis – Tools. Heidelberg: Heidelberg University Publishing, 2018, pp. 185-223. ISBN 978-3-946054-77-1. Available under: doi: 10.17885/heiup.345.474

BibTex

@incollection{Flekova2018Conte-42799,
  year={2018},
  doi={10.17885/heiup.345.474},
  title={Content-based Analysis and Visualization of Story Complexity},
  isbn={978-3-946054-77-1},
  publisher={Heidelberg University Publishing},
  address={Heidelberg},
  booktitle={Visualisierung sprachlicher Daten : Visual Linguistics – Praxis – Tools},
  pages={185--223},
  editor={Bubenhofer, Noah and Kupietz, Marc},
  author={Flekova, Lucie and Stoffel, Florian and Gurevych, Iryna and Keim, Daniel A.}
}

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assess the fit of a candidate’s artwork into their portfolio or determine the target&#xD;
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Universitätsbibliographie

Ja