Feature Alignment for the Analysis of Verbatim Text Transcripts
Feature Alignment for the Analysis of Verbatim Text Transcripts
Loading...
Date
2017
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Contribution to a conference collection
Publication status
Published
Published in
EuroVA 2017 : EuroVis Workshop on Visual Analytics / Sedlmair, Michael; Tominski, Christian (ed.). - Goslar : Eurographics Association, 2017. - pp. 13-18. - ISBN 978-3-03868-042-0
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Conference
EuroVA 2017 : EuroVis Workshop on Visual Analytics, Jun 12, 2017 - Jun 13, 2017, Barcelona, Spain
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
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, Jun 12, 2017 - Jun 13, 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.20171113BibTex
@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.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/39717"> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:creator>Gipp, Bela</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:creator>El-Assady, Mennatallah</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>El-Assady, Mennatallah</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:contributor>Gipp, Bela</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/39717/1/Jentner_0-419041.pdf"/> <dc:rights>terms-of-use</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-08-01T11:15:51Z</dc:date> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/39717"/> <dc:creator>Jentner, Wolfgang</dc:creator> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/39717/1/Jentner_0-419041.pdf"/> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-08-01T11:15:51Z</dcterms:available> <dc:contributor>Jentner, Wolfgang</dc:contributor> <dcterms:title>Feature Alignment for the Analysis of Verbatim Text Transcripts</dcterms:title> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dcterms:issued>2017</dcterms:issued> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes