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Article Dans Une Revue Digital Humanities Benelux Journal Année : 2019

Analysis of Fidel Castro Speeches Enhanced by Data Mining

Résumé

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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Dates et versions

hal-02289344 , version 1 (16-09-2019)
hal-02289344 , version 2 (09-12-2019)

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  • HAL Id : hal-02289344 , version 2

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Sergio Peignier, Patricia Zapata. Analysis of Fidel Castro Speeches Enhanced by Data Mining. Digital Humanities Benelux Journal, 2019. ⟨hal-02289344v2⟩
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