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Informatica applicata al testo letterario LM

Docente: Fabio Ciotti

SSD: INF/01

CFU: 6

Orario delle lezioni:

Le lezioni si svolgeranno nel I semestre, il lunedì 15-17 e il martedì 14-16, in aula P2. Avranno inizio il 2 ottobre e termineranno il 21 dicembre.

 

Titolo del corso: Computational methods for literary text representation and analysis

Obiettivi del corso:

The course will give the theoretical foundations and the operational competences required to create and analyze digital textual resources. I will cover the following issues:

  • Formal and computational models of Textuality
  • Advanced methods for scholarly text encoding and representation: XML and Text Encoding Initiative markup language
  • Models and framework for scholarly editing and publishing of digital text collections
  • The classical methods of text analysis: concordances, text retrieval and frequentist statistical analysis
  • Distant reading and cultural analytics theoretical and methodological rationales
  • Text mining textual corpora: cluster analysis, topic modelling and word2vec

Bibliografia ed eventuali indicazioni per l’esame:

  • L. Burnard. 2014. What is the Text Encoding Initiative? How to add intelligent markup to digital resources. Marseille : OpenEdition Press. Web. http://books.openedition.org/oep/426
  • M. Jockers. 2013. Macroanalysis: Digital Methods and Literary History. University of Illinois Press
  • F. Ciotti. 2015. Sul distant reading: una visione critica. Semicerchio, LIII(2)
  • T. Underwood. 2017. A Genealogy of Distant Reading. Digital Humanities Quarterly 11(2). Web: http://www.digitalhumanities.org/dhq/vol/11/2/000317/000317.html

The course is composed of classroom lessons and the production of a project (possibly in team). Frequency is highly advised.

 

Ultimo aggiornamento: 27 settembre 2017