PolText 2016 : The International Conference on the Advances in Computational Analysis of Political Text : proceedings of the conference : sponsored by the European Social Fund, Operational Programme Efficient Human Resources 2014–2020
Page range:
61-67
Conference title:
International Conference on the Advances in Computational Analysis of Political Text
text scaling , text classification , topic analysis , natural language processing
Abstract:
In this paper we present TopFish, a multilevel
computational method that integrates
topic detection and political scaling and
shows its applicability for a temporal aspect
analysis of political campaigns (preprimary
elections, primary elections, and
general elections). It enables researchers
to perform a range of multidimensional
empirical analyses, ultimately allowing
them to better understand how candidates
position themselves during elections, with
respect to a specific topic. The approach
has been employed and tested on speeches
from the 2008, 2012, and the (ongoing)
2016 US presidential campaigns.
Additional information:
Online-Ressource
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