From Numbers to Evidence: Computer-Assisted Scholarship in the Million-Book Era

In this exciting talk, David Mimno outlines the limitations and uses of representational modeling by employing examples from Minecraft, data on U.S. gun ownership, and 19th-century novels.

David Mimno

Speaker's affiliation
Cornell University
Name of Series
Micromégas: the very small, the very large, and the object of digital humanities
Sponsoring Department
The Stanford Literary Lab
Event Date
Friday, February 13, 2015

What can we learn about the limitations of topic modeling from the video game Minecraft? What information is not represented in the linear regression of gun ownership and population density in the United States? How can models illuminate the relationship between gendered language and author gender in 19th-century novels? David Mimno, Professor in the Information Science department at Cornell University, connects the dots between numbers and evidence by examining the challenges and opportunities of representational modeling. 


Micromégas: The Very Small, the Very Large, and the Object of Digital Humanities

by Franco Moretti

Piketty’s Model: Literary History Without Fixed Objects
by Ted Underwood

Paragraphs: The Forgotten Middle
by Mark Algee-Hewitt, Ryan Heuser, and Franco Moretti

Small, Large, ‘What’ and ‘So What’: Perspectives and Challenges in Corpus Linguistics
by Susan Conrad

From Numbers to Evidence: Computer-Assisted Scholarship in the Million-Book Era
by David Mimno


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