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Testing the thematic concentration of text

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17250%2F15%3AA1601A3B" target="_blank" >RIV/61988987:17250/15:A1601A3B - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Testing the thematic concentration of text

  • Original language description

    The aim of the article is to evaluate and address the limits of an existing approach to the analysis of the thematic concentration of text. To overcome these limits, the article proposes and applies both a modification of the measurement of thematic concentration - known as secondary thematic concentration and proportional thematic concentration - and methods for their statistical testing. The results show that the modification, as well as the application of the proposed tests, enhances the possibilities for analysing the thematic characteristics of text. The article uses 20 Slovak texts of the same genre written by one author.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Quantitative Linguistics

  • ISSN

    0929-6174

  • e-ISSN

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    18

  • Pages from-to

    215-232

  • UT code for WoS article

  • EID of the result in the Scopus database