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Political Stance Analysis Using Swedish Parliamentary Data

Conference paper
Authors Jacobo Rouces
Lars Borin
Nina Tahmasebi
Published in CEUR Workshop Proceedings (Vol. 2364). Digital Humanities in the Nordic Countries 4th Conference
ISSN 1613-0073
Publisher CEUR Workshop Proceedings
Publication year 2019
Published at Department of Literature, History of Ideas, and Religion
Department of Swedish
Language en
Links ceur-ws.org/Vol-2364/34_paper.pdf
Subject categories Language Technology (Computational Linguistics), Statistics, computer and systems science

Abstract

We process and visualize Swedish parliamentary data using methods from statistics and machine learning, which allows us to obtain insight into the political processes behind the data. We produce plots that let us infer the relative stance of political parties and their members on different topics. In addition, we can infer the degree of homogeneity of individual votes within different parties, as well as the degree of multi-dimensionality of Swedish politics.

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