VisInReport : Complementing Visual Discourse Analytics through Personalized Insight Reports

Lade...
Vorschaubild
Dateien
Sevastjanova_2-yxy2ypym9urc1.pdf
Sevastjanova_2-yxy2ypym9urc1.pdfGröße: 5.11 MBDownloads: 171
Datum
2021
Autor:innen
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
IEEE Transactions on Visualization and Computer Graphics (T-VCG). IEEE. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2021.3104026
Zusammenfassung

We present VisInReport, a visual analytics tool that supports the manual analysis of discourse transcripts and generates reports based on user interaction. As an integral part of scholarly work in the social sciences and humanities, discourse analysis involves an aggregation of characteristics identified in the text, which, in turn, involves a prior identification of regions of particular interest. Manual data evaluation requires extensive effort, which can be a barrier to effective analysis. Our system addresses this challenge by augmenting the users' analysis with a set of automatically generated visualization layers. These layers enable the detection and exploration of relevant parts of the discussion supporting several tasks, such as topic modeling or question categorization. The system summarizes the extracted events visually and verbally, generating a content-rich insight into the data and the analysis process. During each analysis session, VisInReport builds a shareable report containing a curated selection of interactions and annotations generated by the analyst. We evaluate our approach on real-world datasets through a qualitative study with domain experts from political science, computer science, and linguistics. The results highlight the benefit of integrating the analysis and reporting processes through a visual analytics system, which supports the communication of results among collaborating researchers.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Visual Analytics, Text Analysis, Report Generation, Visualization, Verbalization
Konferenz
Rezension
undefined / . - undefined, undefined
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Datensätze
Zitieren
ISO 690SEVASTJANOVA, Rita, Mennatallah EL-ASSADY, Adam James BRADLEY, Christopher COLLINS, Miriam BUTT, Daniel A. KEIM, 2021. VisInReport : Complementing Visual Discourse Analytics through Personalized Insight Reports. In: IEEE Transactions on Visualization and Computer Graphics (T-VCG). IEEE. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2021.3104026
BibTex
@article{Sevastjanova2021-08-11VisIn-54625,
  year={2021},
  doi={10.1109/TVCG.2021.3104026},
  title={VisInReport : Complementing Visual Discourse Analytics through Personalized Insight Reports},
  issn={1077-2626},
  journal={IEEE Transactions on Visualization and Computer Graphics (T-VCG)},
  author={Sevastjanova, Rita and El-Assady, Mennatallah and Bradley, Adam James and Collins, Christopher and Butt, Miriam 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/123456789/54625">
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54625/1/Sevastjanova_2-yxy2ypym9urc1.pdf"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Collins, Christopher</dc:contributor>
    <dc:creator>Collins, Christopher</dc:creator>
    <dcterms:title>VisInReport : Complementing Visual Discourse Analytics through Personalized Insight Reports</dcterms:title>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-08-17T12:30:28Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2021-08-11</dcterms:issued>
    <dc:creator>Bradley, Adam James</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/54625"/>
    <dc:contributor>Sevastjanova, Rita</dc:contributor>
    <dc:contributor>Butt, Miriam</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Sevastjanova, Rita</dc:creator>
    <dc:creator>El-Assady, Mennatallah</dc:creator>
    <dc:contributor>El-Assady, Mennatallah</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-08-17T12:30:28Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Bradley, Adam James</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
    <dc:language>eng</dc:language>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:abstract xml:lang="eng">We present VisInReport, a visual analytics tool that supports the manual analysis of discourse transcripts and generates reports based on user interaction. As an integral part of scholarly work in the social sciences and humanities, discourse analysis involves an aggregation of characteristics identified in the text, which, in turn, involves a prior identification of regions of particular interest. Manual data evaluation requires extensive effort, which can be a barrier to effective analysis. Our system addresses this challenge by augmenting the users' analysis with a set of automatically generated visualization layers. These layers enable the detection and exploration of relevant parts of the discussion supporting several tasks, such as topic modeling or question categorization. The system summarizes the extracted events visually and verbally, generating a content-rich insight into the data and the analysis process. During each analysis session, VisInReport builds a shareable report containing a curated selection of interactions and annotations generated by the analyst. We evaluate our approach on real-world datasets through a qualitative study with domain experts from political science, computer science, and linguistics. The results highlight the benefit of integrating the analysis and reporting processes through a visual analytics system, which supports the communication of results among collaborating researchers.</dcterms:abstract>
    <dc:creator>Butt, Miriam</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54625/1/Sevastjanova_2-yxy2ypym9urc1.pdf"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja
Diese Publikation teilen