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Type of publication: Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje (P1d);Article in the peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Informatika (N009);Computer science (N009)
Author(s): Morkevičius, Vaidas;Mackutė-Varoneckienė, Aušra;Mickevičius, Vytautas;Krilavičius, Tomas
Title: Automatic thematic classification of the titles of the Seimas votes
Is part of: NODALIDA 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
Extent: p. 225-231
Date: 2015
Series/Report no.: (NEALT Proceedings, Vol. 23)
Note: ISSN (print): 1650-3638
Keywords: Classification;Short text classification;Klasifikavimas;Trumpų tekstų klasifikavimas
ISBN: 9789175190983
Abstract: Statistical 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 Parliament
Affiliation(s): Informatikos fakultetas
Kauno technologijos universitetas
Taikomosios informatikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:1. Straipsniai / Articles
Universiteto mokslo publikacijos / University Research Publications

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