TOME: Interactive Topic Model and Metadata Visualization

Faculty: 
Lauren Klein, Jacob Eisenstein
Students: 
Adam Hayward, Nikita Bawa, Morgan Orangi, Caroline Foster

TOME is a tool for humanities scholars, designed as an entrypoint into large collections of digitized text. It rests upon the technique of topic modeling, a machine learning technique for automatically identifying a set of topics--or themes--in a document set.

Lab: 
Director: 
Lauren Klein
Faculty: 
Lauren Klein

The Digital Humanities Lab (DH Lab) explores how digital technologies engage questions of humanistic inquiry. We draw from the expertise of students and faculty in the Ivan Allen College of Liberal Arts in order to identify how issues of computation intersect with literary, historical, and cultural concerns. Our approach is both theoretical and applied, with an emphasis on how digital technologies can be employed to present concepts, advance arguments, and perform critique.