Character Space: using matrix factorization to identify main axes in fictional characters

Presenter's Name(s)

Julia ZimmermanFollow

Abstract

Singular value decomposition is a powerful matrix reduction technique which we used to pull out core components of personality of fictional characters, yielding a character space. While these are interesting results in themselves, we also considered how they might map onto other spaces, particularly the power-danger-structure framework, and how this strategy could be extended to include other aspects of literary inquiry and other data.

Primary Faculty Mentor Name

Christopher M. Danforth

Secondary Mentor Name

Peter Dodds

Student Collaborators

Denis Hudon, Tyler Ehrlich, Philip Nguyen

Status

Graduate

Student College

College of Engineering and Mathematical Sciences

Program/Major

Complex Systems

Primary Research Category

Arts & Humanities

Secondary Research Category

Engineering & Physical Sciences

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Character Space: using matrix factorization to identify main axes in fictional characters

Singular value decomposition is a powerful matrix reduction technique which we used to pull out core components of personality of fictional characters, yielding a character space. While these are interesting results in themselves, we also considered how they might map onto other spaces, particularly the power-danger-structure framework, and how this strategy could be extended to include other aspects of literary inquiry and other data.