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.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:388874 |
| Date | January 2018 |
| Creators | Kvítková, Alena |
| Contributors | Malá, Markéta, Klégr, Aleš |
| Source Sets | Czech ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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