JonathanReeve/course-computational-literary-analysis
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2021 and 2022.
This is a comprehensive set of course materials designed to teach literary scholars and students how to use computational methods to analyze texts. You'll learn to process literary works with code, transforming raw text into structured data and insights about language patterns, themes, and authorship. This is for humanities researchers, literature students, and digital humanists.
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Use this if you are a literature student or scholar wanting to learn how to apply programming and data analysis techniques to literary texts.
Not ideal if you're looking for a ready-to-use software tool for literary analysis without learning the underlying computational methods.
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Jupyter Notebook
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GPL-3.0
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Aug 15, 2022
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