- EN The thesis analyzes the idiolect of the then-presidential candidate Barack Obama in the specific speech situation of the televized debates on the background of the utterances of other candidates in the years 2000, 2004 and 2008. The analysis uses corpus-driven methods to compare the Obama corpus with the reference corpus. The comparison is largely based on the analysis of keywords and their use in context, supplemented by the discussion of their collocations and associated clusters. The results of the analysis, i.e. the principal features Obama's idiolect, are presented in a structured summary, divided into specific areas. Keywords: Idiolect, individual textual profile, Obama, keywords, corpus, corpus-driven

The present master thesis analyses the idiolects of presidential candidates Hillary Clinton and Donald Trump against the background of the speeches of other candidates for the post of President of the United States in 2016. Using the 'corpus-assisted discourse analysis' (Partington et al., 2013), the thesis strives to uncover words, phrases and patterns that distinguish the speech of the two candidates in a political discourse from other presidential candidates. First, the thesis examines the keywords, collocations, negative keywords and clusters of the respective target corpora. While the main focal points of the study are lexical and grammatical indicators of style, proper nouns and lexical indicators of content ('aboutness keywords') are subjects to analysis as well. In the next step the results of the respective analyses are compared, i.e. the differences between the speeches of Hillary Clinton and Donald Trump are discussed.