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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50601 - Political science

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Politics in Central Europe

  • ISSN

    1801-3422

  • e-ISSN

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    PL - POLAND

  • Number of pages

    24

  • Pages from-to

    259-282

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85084578852