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Calculating the victory chances: A stylometric insight into the 2018 Czech presidential election

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F21%3AA2202C0N" target="_blank" >RIV/61988987:17250/21:A2202C0N - isvavai.cz</a>

  • Result on the web

    <a href="https://benjamins.com/catalog/cilt.356" target="_blank" >https://benjamins.com/catalog/cilt.356</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1075/cilt.356.13mis" target="_blank" >10.1075/cilt.356.13mis</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Calculating the victory chances: A stylometric insight into the 2018 Czech presidential election

  • Original language description

    The goal of this chapter is to determine stylometric features and keywords of the selected texts produced by the candidates for the 2018 Czech presidential election, and to interpret whether these may have had any impact upon the final results. The stylometric indexes researched include MATTR (moving-average type-token ratio), ATL (average token length), TC (thematic concentration), STC (secondary thematic concentration), Q (activity), and VD (verb distances); finally, a keyword analysis for two chosen candidates' programmes is carried out. The outcomes of the analyses show that each candidate adopts a special strategy to influence his electorate and that this strategy can be captured via stylometric methods. © 2021 John Benjamins Publishing Company

  • Czech name

    —

  • Czech description

    —

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    —

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

    —

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Language and Text: Data, models, information and applications

  • ISBN

    9789027210104

  • ISSN

    —

  • e-ISSN

    —

  • Number of pages

    13

  • Pages from-to

    195-207

  • Publisher name

    John Benjamins

  • Place of publication

    Amsterdam

  • Event location

    Wrocław

  • Event date

    Jul 5, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    —