Exploring structural features for position analysis in political discussions

Zirn, Cäcilia ; Schäfer, Michael ; Strube, Michael ; Ponzetto, Simone Paolo ; Stuckenschmidt, Heiner

URL: http://www.cs.cmu.edu/~nasmith/unshared2014/Zirn.p...
Additional URL: http://acl2014.org/acl2014/P14-3/pdf/P14-3004.pdf
Document Type: Conference or workshop publication
Year of publication: 2014
Book title: NLP Unshared Task in PoliInformatics : June 2014
The title of a journal, publication series: Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science
Page range: 1-5
Conference title: NLP Unshared Task in PoliInformatics 2014
Location of the conference venue: Baltimore, MD
Date of the conference: 26.06.2014
Publisher: Smith, Noah A.
Place of publication: Washington, DC
Publishing house: PoliInformatics Research Coordination Network (PInet)
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: In the context of the NLP Unshared Task in PoliInformatics 2014, we analyze the structure of FOMC discussions as potential features for position analysis. We access the length of discussion statements and show that the distinction between long opinionated statements and short spontaneous discussion elements improves the analysis of similarity among speakers. Furthermore, we explore the structure within dialogs by dividing them into subdialogs and representing the subsequence of speakers as graphs. In our web demo, we present visualizations of our analysis including the subgraphs and the similarity among speakers.
Additional information: Online-Ressource

Dieser Eintrag ist Teil der Universitätsbibliographie.

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