Voluntad y deseo en la filosofía moderna: un acercamiento computacional

Voluntad y deseo en la filosofía moderna: un acercamiento computacional

Introduction: in this study, Cebral Loureda analyzes how will and desire are conveyed in: Ethics, by Spinoza; The Phenomenology of Spirit, by Hegel; The World as Will and Representation, by Schopenhauer; and Thus spoke Zarathustra, by Nietzsche. With the idea of determining theses texts’ degree of cohesion, the author follows a computational and quantitative methodology to compare and contrast them, as well as assess their internal contradictions. A normalized corpus, statistics and visualizations are employed so as to evaluate the terminology, topoi and sentimentality of these works.  In relation to terminology, author’s findings revealed that Nietzsche uses a highly differentiated vocabulary from that of the other philosophers, adding marked emotional connotations to his discourse. Visualizations showed the terminological commonalities between Hegel and Schopenhauer and shed light on the former bearing the highest number of semantic connections with the other philosophers.  As for topoi, results showed there is a clear dichotomic tension between conceptual and vital experience in the studied documents. Redefining this dualism, however, Cebral Loureda observed that the concrete is always intertwined with the abstract and vice versa.  Regarding the sentimental dimension of these works, examination unveiled that Nietzsche’s presents the greatest negative sentimental load. In contrast, Spinoza’s is the most emotionally balanced. With all this, Cebral Loureda proves that there is a high degree of cohesion among these philosophical works, which link reason and emotion to will, time and spirit, core notions of modern philosophy and society.

Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Mining ethnicity: Discourse-driven topic modelling of immigrant discourses in the USA, 1898–1920

Introduction: The article illustrates the application of a ‘discourse-driven topic modeling’ (DDTM) to the analysis of the corpus ChronicItaly comprising several newspapers in Italian language, appeared in the USA during the time of massive migration towards America between the end of the XIX century and the first two decades of the XX (1898-1920).

The method combines both Text Modelling (™) and the discourse-historical approach (DHA) in order to get a more comprehensive representation of the ethnocultural and linguistic identity of the Italian group of migrants in the historical American context in crucial periods of time like that immediately preceding the eruption and that of the unfolding of World War I.