Abstract
Text analysis techniques are widely applied in digital humanities, in particular to support literary criticism on large corpora of primary sources. In this paper we retrace, from an editorial perspective, the experimentation of computational text analysis techniques – in this case topic modeling and sentiment analysis – on a corpus of archival documents, the correspondence between Ignazio Silone and Arnoldo Mondadori Editore (396 pieces of correspondence). In light of the results obtained, we hypothesized that these tools, outside the field of literary criticism strictu sensu, could play an important role in the study and, above all, in the edition of the author’s letters, and that their output, integrated with methodologies and techniques of digital scholarly editing, could make the experience more productive for the readers.
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