Type of Publication: | Contribution to a collection |
Publication status: | Published |
URI (citable link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-2-16xiv5gl4ojrm1 |
Author: | Flekova, Lucie; Stoffel, Florian; Gurevych, Iryna; Keim, Daniel A. |
Year of publication: | 2018 |
Published in: | Visualisierung sprachlicher Daten : Visual Linguistics – Praxis – Tools / Bubenhofer, Noah; Kupietz, Marc (ed.). - Heidelberg : Heidelberg University Publishing, 2018. - pp. 185-223. - ISBN 978-3-946054-77-1 |
DOI (citable link): | https://dx.doi.org/10.17885/heiup.345.474 |
Summary: |
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.
|
Subject (DDC): | 004 Computer Science |
Link to License: | In Copyright |
Bibliography of Konstanz: | Yes |
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, pp. 185-223. ISBN 978-3-946054-77-1. Available under: doi: 10.17885/heiup.345.474
@incollection{Flekova2018Conte-42799, title={Content-based Analysis and Visualization of Story Complexity}, year={2018}, doi={10.17885/heiup.345.474}, isbn={978-3-946054-77-1}, address={Heidelberg}, publisher={Heidelberg University Publishing}, 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.} }
Flekova_2-16xiv5gl4ojrm1.pdf | 91 |