APPLYING STATISTICAL METHODS FOR ANALYZING TEXTS OF THE PRESIDENTIAL ELECTION PROGRAMMES

Authors

  • M. M. Osypchuk Vasyl Stefanyk Precarpathian National University
  • I. M. Hural Ivano-Frankivsk National Technical University of Oil and Gas
  • L. R. Smolovyk Ivano-Frankivsk National Technical University of Oil and Gas

DOI:

https://doi.org/10.31471/2304-7410-2019-4(56)-109-115

Keywords:

election programme, method of multidimensional scaling, correlation analysis, cluster analysis, word cloud.

Abstract

Modern statistics is equipped with the methods of formalization (mea­surement) of the objects of different nature. This concerns in particular texts of the so called natural language. This article provides analysis (conducted by means of statistical methods) of the election programmes’ texts of the can­didates for Ukraine’s Presidency in the 2019 election. With the method of multidimensional scaling, the data set was created that consists of two nu­merical characteristics that describe the peculiarities of the reviewed pro­grammes’ texts. With the correlation analysis, the correlation was estab­lished between the texts of the candidates’ election programmes and the offi­cial results of the first round of the election, as well as the results of the na­tionwide exit poll. By applying the Ward’s method cluster analysis, the four groups of the candidates for Ukraine’s Presidency were outlined. Also, the peculiarities of the groups’ programmes texts were identified, as well as the key words clouds were created for quick apprehension of the most frequently used words and their distribution according to popularity. Data preparation and all statistical calculations were performed with the help of the statistical calculation environment R.

References

R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

UGTag – a morphological tagger for Ukrainian language. – Режим доступу: http://www.domeczek.pl/~polukr/parcor/

Published

2019-12-26

How to Cite

Osypchuk, M. M. ., Hural, I. M. ., & Smolovyk, L. R. . (2019). APPLYING STATISTICAL METHODS FOR ANALYZING TEXTS OF THE PRESIDENTIAL ELECTION PROGRAMMES. PRECARPATHIAN BULLETIN OF THE SHEVCHENKO SCIENTIFIC SOCIETY Idea, (4(56), 109-115. https://doi.org/10.31471/2304-7410-2019-4(56)-109-115