Text Analysis in Python Intensive for Digital Humanities

In its most ambitious formulation, the digital humanities aims to articulate new research questions made available by modern computers and data methods. However, it is not immediately obvious how these fit into our existing research projects. How can we leverage programming and statistics toward the kinds of problems that are central to the humanities? Are the findings that result from the much-touted distant reading compatible with those of close reading?

This workshop will take a research-oriented approach to computational text analysis. Each session will explore a published literary study that has used computational evidence along with close reading. Specifically, we will look at code and practice exercises that reproduce the researchers' method or main finding, while building proficiency with common text analysis methods.

This workshop is co-sponsored by Digital Humanities @ Berkeley.

The workshop assumes no prior coding experience and will begin with installation of the Python 3.5 programming language.

Readings and materials are available at the link below.