Publikation:

Feature Alignment for the Analysis of Verbatim Text Transcripts

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Jentner_0-419041.pdf
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Datum

2017

Autor:innen

Jentner, Wolfgang
El-Assady, Mennatallah
Gipp, Bela
Keim, Daniel A.

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http://nbn-resolving.de/urn:nbn:de:bsz:352-0-419041
DOI (zitierfähiger Link)
https://doi.org/10.2312/eurova.20171113
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Informatik und Informationswissenschaft: Publikationen
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Published

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SEDLMAIR, Michael, ed., Christian TOMINSKI, ed.. EuroVA 2017 : EuroVis Workshop on Visual Analytics. Goslar: Eurographics Association, 2017, pp. 13-18. ISBN 978-3-03868-042-0. Available under: doi: 10.2312/eurova.20171113

Zusammenfassung

In the research of deliberative democracy, political scientists are interested in analyzing the communication models of discussions, debates, and mediation processes with the goal of extracting reoccurring discourse patterns from the verbatim transcripts of these conversations. To enhance the time-exhaustive manual analysis of such patterns, we introduce a visual analytics approach that enables the exploration and analysis of repetitive feature patterns over parallel text corpora using feature alignment. Our approach is tailored to the requirements of our domain experts. In this paper, we discuss our visual design and workflow, and we showcase the applicability of our approach using an experimental parallel corpus of political debates.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

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Konferenz

EuroVA 2017 : EuroVis Workshop on Visual Analytics, 12. Juni 2017 - 13. Juni 2017, Barcelona, Spain
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ISO 690JENTNER, Wolfgang, Mennatallah EL-ASSADY, Bela GIPP, Daniel A. KEIM, 2017. Feature Alignment for the Analysis of Verbatim Text Transcripts. EuroVA 2017 : EuroVis Workshop on Visual Analytics. Barcelona, Spain, 12. Juni 2017 - 13. Juni 2017. In: SEDLMAIR, Michael, ed., Christian TOMINSKI, ed.. EuroVA 2017 : EuroVis Workshop on Visual Analytics. Goslar: Eurographics Association, 2017, pp. 13-18. ISBN 978-3-03868-042-0. Available under: doi: 10.2312/eurova.20171113
BibTex
@inproceedings{Jentner2017Featu-39717,
  year={2017},
  doi={10.2312/eurova.20171113},
  title={Feature Alignment for the Analysis of Verbatim Text Transcripts},
  isbn={978-3-03868-042-0},
  publisher={Eurographics Association},
  address={Goslar},
  booktitle={EuroVA 2017 : EuroVis Workshop on Visual Analytics},
  pages={13--18},
  editor={Sedlmair, Michael and Tominski, Christian},
  author={Jentner, Wolfgang and El-Assady, Mennatallah and Gipp, Bela and Keim, Daniel A.}
}
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