Beyond Tools: Linking Computer Science to the Humanities
Underwood, Ted
Underwood, Ted
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Abstract
The term “digital humanities” tends to stage contemporary developments in the humanities as a confrontation, not with specific ideas or disciplines, but with digital technology itself. That’s part of the logic of the term’s success, but for good or ill, this talk will aim at a narrower, socially concrete topic. I’m interested, not in the web or in computers as such, but in the human beings who study computer science. To the extent that humanists discuss CS at all, we tend to imagine it as a narrowly instrumental discourse. And there’s some truth to that: a large part of what I want to do is show off some neat tricks computer scientists have invented that turn out to be useful for the humanities (and especially for literary history). I’ll focus on topic modeling (which casts new light on the history of humanistic disciplines), and on supervised learning algorithms (which provide an interestingly flexible way to approach the history of genre). But I also want to suggest that the conversation between computer scientists and humanists needn’t be purely instrumental, or fully contained in “tools” that we borrow from CS. In some ways computer science is a surprisingly flexible hermeneutic discourse, and humanists may have more in common with it than we imagine.
Description
Beyond tools: the questions about interpretation that link computer science to the humanitiesDigital Humanities Seminar, University of Kansas. Institute for Digital Research in the Humanities & Hall Center for the Humanities. March 31, 2014: http://idrh.ku.edu
Ted Underwood is at the University of Ilinois.
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2014-03-31
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Digital Humanities, Topoic Modeling, Computer Science, Literature, Text Mining, HathiTrust