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DHSI Stylometry with R: Computer-Assisted Analysis of Literary Texts

Notes and materials for "Stylometry with R: Computer-Assisted Analysis of Literary Texts" course run by Maciej Eder, Joanna Byszuk and Artjoms Šeļa at the DHSI 2021.

We acknowledge and respect the Lkwungen-speaking peoples, on whose traditional territory the university where we teach stands, and the Songhees, Esquimalt and WSÁNEĆ peoples whose historical relationships with the land continue to this day.

Pre-course

Before the course, please take a look at the reading list and install necessary programs. Please take a moment to read DHSI Statement on Ethics and Inclusion.

Reading

All the suggested readings are available in the coursepack provided to you via DHSI channels.
We also created a syllabus of references used in the coursepack and suggested further reading (note that the latter list might grow to reflect our discussions during the course).

Installations

You will find detailed installation tips here

Useful links and homework

While you are not obliged to do this before the course, you might find it useful to take a look here and think about your text editor and other tools you use. Finally, take a look at the homeworks we will be dealing with - perhaps you'd like to get a head start and have more time to relax in the evenings during the course?

During the course

The following files will be changing to best reflect the interest of the group (and to document what we do together). The proposed schedule is a very rough version based on our past experiences teaching this course.

Day notes

Useful links

Stylo cheatsheet presentation

Documentation of the package ‘stylo’:

More on useful tools here.

About

Materials for a 2019 course of Stylometry at DHSI.

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