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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F20%3A00115442" target="_blank" >RIV/00216224:14230/20:00115442 - isvavai.cz</a>

Výsledek na webu

<a href="https://content.sciendo.com/view/journals/pce/16/1/article-p259.xml" target="_blank" >https://content.sciendo.com/view/journals/pce/16/1/article-p259.xml</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/pce-2020-0012" target="_blank" >10.2478/pce-2020-0012</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50601 - Political science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Politics in Central Europe

ISSN

1801-3422

e-ISSN

—

Svazek periodika

16

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

24

Strana od-do

259-282

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85084578852