Literature Fingerprinting : A New Method for Visual Literary Analysis

Keim, Daniel A.; Oelke, Daniela

Literature Fingerprinting : A New Method for Visual Literary Analysis

Files

Literature_Fingerprinting.pdf(793.35 KB)

Date

2007

Publication type

Contribution to a conference collection

Published in

2007 IEEE Symposium on Visual Analytics Science and Technology. - IEEE, 2007. - pp. 115-122. - ISBN 978-1-4244-1659-2

Abstract

In computer-based literary analysis different types of features are used to characterize a text. Usually, only a single feature value or vector is calculated for the whole text. In this paper, we combine automatic literature analysis methods with an effective visualization technique to analyze the behavior of the feature values across the text. For an interactive visual analysis, we calculate a sequence of feature values per text and present them to the user as a characteristic fingerprint. The feature values may be calculated on different hierarchy levels, allowing the analysis to be done on different resolution levels. A case study shows several successful applications of our new method to known literature problems and demonstrates the advantage of our new visual literature fingerprinting.

Subject (DDC)

004 Computer Science

Keywords

Visual literature analysis,visual analytics,literature fingerprinting

Conference

2007 IEEE Symposium on Visual Analytics Science and Technology, Oct 30, 2007 - Nov 1, 2007, Sacramento, CA, USA

Cite This

ISO 690

KEIM, Daniel A., Daniela OELKE, 2007. Literature Fingerprinting : A New Method for Visual Literary Analysis. 2007 IEEE Symposium on Visual Analytics Science and Technology. Sacramento, CA, USA, Oct 30, 2007 - Nov 1, 2007. In: 2007 IEEE Symposium on Visual Analytics Science and Technology. IEEE, pp. 115-122. ISBN 978-1-4244-1659-2. Available under: doi: 10.1109/VAST.2007.4389004

BibTex

@inproceedings{Keim2007-10Liter-5492,
  year={2007},
  doi={10.1109/VAST.2007.4389004},
  title={Literature Fingerprinting : A New Method for Visual Literary Analysis},
  isbn={978-1-4244-1659-2},
  publisher={IEEE},
  booktitle={2007 IEEE Symposium on Visual Analytics Science and Technology},
  pages={115--122},
  author={Keim, Daniel A. and Oelke, Daniela}
}

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Bibliography of Konstanz

Yes