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Analysis of Fidel Castro Speeches Enhanced by Data Mining

Abstract : 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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Contributor : Sergio Peignier <>
Submitted on : Monday, December 9, 2019 - 2:46:00 PM
Last modification on : Wednesday, July 8, 2020 - 12:42:17 PM
Document(s) archivé(s) le : Tuesday, March 10, 2020 - 7:29:23 PM


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  • HAL Id : hal-02289344, version 2



Sergio Peignier, Patricia Zapata. Analysis of Fidel Castro Speeches Enhanced by Data Mining. Digital Humanities Benelux Journal, Wout Dillen, Marieke van Erp, Marijn Koolen, Julie Birkholz, Gerben Zaagsma, 2019. ⟨hal-02289344v2⟩



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