Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries

The paper examines electoral manifestos of social democratic parties in Visegrad countries through a computer-driven method of content analysis. The analysis focuses on a sentence sentiment (how parties talk about their priorities) and a keyword examination (what parties mostly talk about). Such ana...

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Autor principal:	Bielik Ivan
Formato:	article
Lenguaje:	CS EN SK
Publicado:	Sciendo 2020
Materias:	natural language processing political parties electoral manifestos social democracy sentiment analysis visegrad countries Political science J
Acceso en línea:	https://doaj.org/article/60f49de1a71841d7876af9017b336eef
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id	oai:doaj.org-article:60f49de1a71841d7876af9017b336eef
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spelling	oai:doaj.org-article:60f49de1a71841d7876af9017b336eef2021-12-02T19:04:29ZApplication of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries1801-342210.2478/pce-2020-0012https://doaj.org/article/60f49de1a71841d7876af9017b336eef2020-04-01T00:00:00Zhttps://doi.org/10.2478/pce-2020-0012https://doaj.org/toc/1801-3422The paper examines electoral manifestos of social democratic parties in Visegrad countries through a computer-driven method of content analysis. The analysis focuses on a sentence sentiment (how parties talk about their priorities) and a keyword examination (what parties mostly talk about). Such analysis is not widespread in the academic literature related to Visegrad countries, where a human-based approach to content analysis of electoral manifestos prevails. The paper, however, does not aim to nullify the findings of the previous research, but aims to improve the understanding of the content of manifestos through a different research method. The paper’s findings have confirmed the pro-European support of social democratic parties as well as the focus on predominantly socio-economic issues in manifestos. Additionally, the paper explores the effect of incumbency on the manifesto’s content. The incumbency seems to have an impact on the manifesto sentiment, but not on keywords.Bielik IvanSciendoarticlenatural language processingpolitical partieselectoral manifestossocial democracysentiment analysisvisegrad countriesPolitical scienceJCSENSKPolitics in Central Europe, Vol 16, Iss 1, Pp 259-282 (2020)
institution	DOAJ
collection	DOAJ
language	CS EN SK
topic	natural language processing political parties electoral manifestos social democracy sentiment analysis visegrad countries Political science J
spellingShingle	natural language processing political parties electoral manifestos social democracy sentiment analysis visegrad countries Political science J Bielik Ivan Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
description	The paper examines electoral manifestos of social democratic parties in Visegrad countries through a computer-driven method of content analysis. The analysis focuses on a sentence sentiment (how parties talk about their priorities) and a keyword examination (what parties mostly talk about). Such analysis is not widespread in the academic literature related to Visegrad countries, where a human-based approach to content analysis of electoral manifestos prevails. The paper, however, does not aim to nullify the findings of the previous research, but aims to improve the understanding of the content of manifestos through a different research method. The paper’s findings have confirmed the pro-European support of social democratic parties as well as the focus on predominantly socio-economic issues in manifestos. Additionally, the paper explores the effect of incumbency on the manifesto’s content. The incumbency seems to have an impact on the manifesto sentiment, but not on keywords.
format	article
author	Bielik Ivan
author_facet	Bielik Ivan
author_sort	Bielik Ivan
title	Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
title_short	Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
title_full	Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
title_fullStr	Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
title_full_unstemmed	Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
title_sort	application of natural language processing to the electoral manifestos of social democratic parties in central eastern european countries
publisher	Sciendo
publishDate	2020
url	https://doaj.org/article/60f49de1a71841d7876af9017b336eef
work_keys_str_mv	AT bielikivan applicationofnaturallanguageprocessingtotheelectoralmanifestosofsocialdemocraticpartiesincentraleasterneuropeancountries
_version_	1718377213178413056

Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries

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