Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/33029
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dc.contributor.authorMickevičius, Vytautas-
dc.contributor.authorKrilavičius, Tomas-
dc.contributor.authorMorkevičius, Vaidas-
dc.contributor.authorMackutė-Varoneckienė, Aušra-
dc.coverage.spatialSE-
dc.date.accessioned2016-12-08T07:49:48Z-
dc.date.available2016-12-08T07:49:48Z-
dc.date.issued2015-
dc.identifier.isbn9789175190983-
dc.identifier.otherVDU02-000014465-
dc.identifier.urihttp://www.aclweb.org/anthology/W15-1828-
dc.identifier.urihttps://eltalpykla.vdu.lt/1/33029-
dc.descriptionISSN (print): 1650-3638-
dc.description.abstractStatistical analysis of parliamentary roll call votes is an important topic in political science as it reveals ideological positions of members of parliament and factions. However, these positions depend on the issues debated and voted upon as well as on attitude towards the governing coalition. Therefore, analysis of carefully selected sets of roll call votes provides deeper knowledge about members of parliament behavior. However, in order to classify roll call votes according to their topic automatic text classifiers have to be employed, as these votes are counted in thousands. In this paper we present results of an ongoing research on thematic classification of roll call votes of the Lithuanian Parliament. Also, this paper is a part of a larger project aiming to develop the infrastructure designed for monitoring and analyzing roll call voting in the Lithuanian Parliamenten
dc.description.sponsorshipBaltijos pažangių technologijų institutas-
dc.description.sponsorshipBaltijos pažangių technologijų institutas, Vilnius-
dc.description.sponsorshipInformatikos fakultetas-
dc.description.sponsorshipKauno technologijos universitetas-
dc.description.sponsorshipTaikomosios informatikos katedra-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 225-231-
dc.language.isoen-
dc.relation.ispartofNODALIDA 2015 : proceedings of the 20th Nordic conference of computational linguistics, May 11–13, 2015, Institute of the Lithuanian language, Vilnius / editor Beata Megyesi. Linköping : Linköping University Electronic Press, 2015-
dc.relation.ispartofseries(NEALT Proceedings, Vol. 23)-
dc.rightsSutarties data 2015-11-17, nr. B000178, laisvai prieinamas internetelt_LT
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/3.0/-
dc.subjectTrumpų tekstų klasifikavimaslt
dc.subjectKlasifikavimasen
dc.subjectShort text classificationen
dc.subjectClassificationen
dc.subject.otherInformatika / Informatics (N009)-
dc.titleAutomatic thematic classification of the titles of the Seimas votesen
dc.typeStraipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)-
dcterms.bibliographicCitation20-
dc.date.updated2019-10-16T16:01Z-
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local.typeP-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptTaikomosios informatikos katedra-
crisitem.author.deptTaikomosios informatikos katedra-
crisitem.author.deptInformatikos fakultetas-
Appears in Collections:1. Straipsniai / Articles
Universiteto mokslo publikacijos / University Research Publications
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