Analysis of Fidel Castro Speeches Enhanced by Data Mining

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16 septembre 2019

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info:eu-repo/semantics/OpenAccess




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Sergio Peignier et al., « Analysis of Fidel Castro Speeches Enhanced by Data Mining », HAL-SHS : linguistique, ID : 10670/1.pdpwcx


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Fidel Castro was a major Cuban politician of the twentieth century who influenced different left-wing regimes and political movements in Latin America and around the world. His ability to seduce the masses and captivate his audience relied to a large extent on his rhetorical abilities. Therefore, studying Castro's political speeches is a crucial step towards understanding his political success. Some previous studies have addressed this issue, mostly using small discursive samples and only a few speeches. However, using a small and possibly non-representative sample is likely to lead to biased results. To overcome this problem, this work was carried out on a large corpus of 1,018 speeches and 7,548,480 words, combining state-of-the-art data mining tools and the linguistic discourse analysis methodology proposed by Patrick Charaudeau. Combining both techniques, we provide here a more representative characterization of Cas-tro's main discursive strategies.

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