Automatic thematic classification of the titles of the Seimas votes

Mickevičius, Vytautas; Krilavičius, Tomas; Morkevičius, Vaidas; Mackutė-Varoneckienė, Aušra

Use this url to cite publication: https://hdl.handle.net/20.500.12259/33029

Automatic thematic classification of the titles of the Seimas votes

Type of publication

Straipsnis konferencijos medžiagoje Scopus duomenų bazėje / Article in conference proceedings in Scopus database (P1a2)

Author(s)

Author	Affiliation
Mickevičius, Vytautas	Informatikos fakultetas / Faculty of Informatics	LT	Baltijos pažangių technologijų institutas	LT
Krilavičius, Tomas	Taikomosios informatikos katedra / Department of Applied Informatics	LT	Baltijos pažangių technologijų institutas, Vilnius	LT
Morkevičius, Vaidas	Kauno technologijos universitetas	LT
Mackutė-Varoneckienė, Aušra	Taikomosios informatikos katedra / Department of Applied Informatics	LT

Title

Automatic thematic classification of the titles of the Seimas votes

[en]

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

Date Issued

Date
2015

Publisher

Linköping : Linköping University Electronic Press, 2015

Is Referenced by

Scopus

Extent

p. 225-231

URI

URI
http://www.aclweb.org/anthology/W15-1828
https://eltalpykla.vdu.lt/1/33029
https://hdl.handle.net/20.500.12259/33029

Field of Science

Keywords (lt)

Keywords (en)

Abstract (en)

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.