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ENGLISH 384E: Quantitative Models and Literary Form: Advanced Methods in Digital Humanities

 This course will explore three methods of quantitative text analysis: topic modeling, word embedding, and named entity recognition. In each case, we learn how the method works, what humanities-based questions it can (or can¿t) answer, and how to interpret its results. Combining hands-on experimentation, with readings of humanities-based uses of each method, students will learn to integrate these techniques into their research and design analyses that can fully leverage the potential of each method. No previous technical experience is required.
Terms: Win | Units: 5
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