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

J 2020

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

BIELIK, Ivan

Základní údaje

Originální název

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

Autoři

BIELIK, Ivan

Vydání

Politics in Central Europe, Sciendo (De Gruyter Open), 2020, 1801-3422

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50601 Political science

Stát vydavatele

Polsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

článek - open access

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14230/20:00115442

Organizační jednotka

Fakulta sociálních studií

DOI

https://doi.org/10.2478/pce-2020-0012

EID Scopus

2-s2.0-85084578852

Klíčová slova anglicky

natural language processing; political parties electoral manifestos; social democracy; sentiment analysis; Visegrad countries

Štítky

rivok

Příznaky

Recenzováno

Změněno: 18. 6. 2020 08:59, Mgr. Blanka Farkašová

Anotace

V originále

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.

Návaznosti

MUNI/A/1044/2019, interní kód MU

Název: Perspektivy evropské integrace v kontextu globální politiky II

Investor: Masarykova univerzita, Perspektivy evropské integrace v kontextu globální politiky II, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Přiložené soubory

Bielik_259_to_282.pdf

Citovat

BIELIK, Ivan. Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries. Politics in Central Europe. Sciendo (De Gruyter Open), 2020, roč. 16, č. 1, s. 259-282. ISSN 1801-3422. Dostupné z: https://doi.org/10.2478/pce-2020-0012.

@article{1637856,
   author = {Bielik, Ivan},
   article_number = {1},
   doi = {https://doi.org/10.2478/pce-2020-0012},
   keywords = {natural language processing; political parties electoral manifestos; social democracy; sentiment analysis; Visegrad countries},
   language = {eng},
   issn = {1801-3422},
   journal = {Politics in Central Europe},
   title = {Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries},
   url = {https://content.sciendo.com/view/journals/pce/16/1/article-p259.xml},
   volume = {16},
   year = {2020}
}

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ID  - 1637856
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JF  - Politics in Central Europe
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PB  - Sciendo (De Gruyter Open)
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KW  - natural language processing
KW  - political parties electoral manifestos
KW  - social democracy
KW  - sentiment analysis
KW  - Visegrad countries
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L2  - https://content.sciendo.com/view/journals/pce/16/1/article-p259.xml
N2  - 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.
ER  -

BIELIK, Ivan. Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries. \textit{Politics in Central Europe}. Sciendo (De Gruyter Open), 2020, roč.~16, č.~1, s.~259-282. ISSN~1801-3422. Dostupné z: https://doi.org/10.2478/pce-2020-0012.

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