Feature Alignment for the Analysis of Verbatim Text Transcripts

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

doi:10.2312/eurova.20171113

Feature Alignment for the Analysis of Verbatim Text Transcripts

Publikationstyp:	Beitrag zu einer Konferenz
Publikationsstatus:	Published
URI (zitierfähiger Link):	http://nbn-resolving.de/urn:nbn:de:bsz:352-0-419041
Autor/innen:	Jentner, Wolfgang; El-Assady, Mennatallah; Gipp, Bela; Keim, Daniel A.
Erscheinungsjahr:	2017
Konferenz:	EuroVA 2017 : EuroVis Workshop on Visual Analytics, 12. Jun 2017 - 13. Jun 2017, Barcelona, Spain
Erschienen in:	EuroVA 2017 : EuroVis Workshop on Visual Analytics / Sedlmair, Michael; Tominski, Christian (Hrsg.). - Goslar : Eurographics Association, 2017. - S. 13-18. - ISBN 978-3-03868-042-0
DOI (zitierfähiger Link):	https://dx.doi.org/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.
Fachgebiet (DDC):	004 Informatik
Link zur Lizenz:	Nutzungsbedingungen
Universitätsbibliographie:	Ja

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

@inproceedings{Jentner2017Featu-39717, title={Feature Alignment for the Analysis of Verbatim Text Transcripts}, year={2017}, doi={10.2312/eurova.20171113}, isbn={978-3-03868-042-0}, address={Goslar}, publisher={Eurographics Association}, 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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