In collaboration with researchers in the UW English Department, the Folger Shakespeare Library, and the University of Glasgow, Scotland, we are using computational techniques build insight on trends in early modern print literature. Wanting to make representative claims about an entire body of documents, rather than a select canon, we are using data visualization and statistical modeling to allow research to scale up to more documents than a single researcher is able to read. Recent tools developed for this project include Serendip, which uses topic modeling to allow exploration of large corpora at multiple levels of abstraction, and Ubiqu, which allows easy tagging and interaction using dictionary-based schemes.
Visualizing English Print
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