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Lecturer(s)
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Špička Jiří, prof. Mgr. Ph.D.
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Petolicchio Marco, Mgr.
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Course content
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This is one of two courses that introduce the methods of digital humanities to the students of Romance languages and literatures. The content of the course can change from one year to another, and the students aren't requested to have previous knowledge of computational skills. In the 2020 edition the course is focused on quantitative analyses and information extraction from different texts. The course is taught in English, while Czech explanations are possible if needed. Students will get methodological and computational competencies which will be immediately tested on practical examples. The texts used will be preferably written in English and Romance languages. Main topics: Overview of Digital Humanities and computational thinking Setup of the infrastructure for the quantitative analyses Programming basics of Python and R Natural Language Processing: aims and technologies - Extraction of information from text - Tokenizing, Lemmatization - Bag-of-words, n-Grams, Syntactic parsing - Named Entity Recognition Data Visualization and comparison of the information - Diagram output of narration - Graph and plot
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The aim of the course is to introduce students to the field of digital humanities. The course is practically oriented and aims to provide students with computational tools for research in humanities.
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Prerequisites
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No previous computational skills are requested. Necessary at least intermediate English languange proficiency.
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Assessment methods and criteria
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unspecified
The exam will consist in an individual project based on the discussed topic in the course, showing the application of such technologies to a literary text (e.g. geographic information extraction).
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Recommended literature
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Python tutorial.
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Budrick, A. et al. (2012). Digital_Humanities. Cambridge.
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Burdicková et al. Digital_Humanities.
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F. Moretti. (2013). Distant Reading. London.
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Lorenzo Tomasin. L'impronta digitale. Roma.
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Moretti, F. (2014). Grafy, mapy, stromy: Abstraktní modely literární historie. Praha.
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Owens. (2011). Defining Data for Humanists: Text, Artifact, Information or Evidence?.
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Roncaglia, G. (2008). L?et? della frammentazione. Cultura del libro e scuola digitale. Roma-Bari.
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S.Bird, E. Klein, E. Loper. Natural Language Processing with Python 1st Edition.
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