Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data

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dc.contributor.authorBilbao Jayo, Aritz
dc.contributor.authorAlmeida, Aitor
dc.date.accessioned2026-04-13T12:36:56Z
dc.date.available2026-04-13T12:36:56Z
dc.date.issued2018-11-14
dc.date.updated2026-04-13T12:36:56Z
dc.description.abstractIn this article, the authors propose a new approach to automate the analysis of the political discourse of the citizens and public servants, to allow public administrations to better react to their needs and claims. The tool presented in this article can be applied to the analysis of the underlying political themes in any type of text, in order to better understand the reasons behind it. To do so, the authors have built a discourse classifier using multi-scale convolutional neural networks in seven different languages: Spanish, Finnish, Danish, English, German, French, and Italian. Each of the language-specific discourse classifiers has been trained with sentences extracted from annotated parties’ election manifestos. The analysis proves that enhancing the multi-scale convolutional neural networks with context data improves the political analysis results.en
dc.description.sponsorshipSupport of the Basque Government’s Department of Education for the predoctoral funding, the Ministry of Economy, Industry and Competitiveness of Spain under Grant No. CSO2015-64495-R (Electronic Regional Manifestos Project)en
dc.identifier.citationBilbao-Jayo, A., & Almeida, A. (2018). Automatic political discourse analysis with multi-scale convolutional neural networks and contextual data. International Journal of Distributed Sensor Networks, 14(11). https://doi.org/10.1177/1550147718811827
dc.identifier.doi10.1177/1550147718811827
dc.identifier.eissn1550-1477
dc.identifier.issn1550-1329
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5620
dc.language.isoeng
dc.publisherSAGE Publications Ltd
dc.rights© The Author(s) 2018
dc.subject.otherConvolutional neural networks
dc.subject.otherOnline political discourse
dc.subject.otherSentence classification
dc.subject.otherSupervised classification
dc.titleAutomatic political discourse analysis with multi-scale convolutional neural networks and contextual dataen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue11
oaire.citation.titleInternational Journal of Distributed Sensor Networks
oaire.citation.volume14
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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