Part ofLanguage and Text: Data, models, information and applications
Edited by Adam Pawłowski, Jan Mačutek, Sheila Embleton and George Mikros
[Current Issues in Linguistic Theory 356] 2021
► pp. 195–208
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 candidatesʼ 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.