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Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis - tang14.pdf
Read the abstract and section 4 "Discussion."
[Update: Matthew Jockers posted a response to this critique yesterday. Rather than contribute to what he calls a “blogging frenzy,” and in the absence of a comments field on his blog, I will make a…
I’ve been watching the developments with Matthew Jockers’s Syuzhet package and blog posts with interest over the last few months. I’m always excited to try new tools that I can bring into both the …
Part review essay, part methodological manifesto, and part pedagogical example, this article confronts the role of quantitative data in Shakespeare studies. Framed with the rise of the digital humanities (which has brought about 'humanities computing', 'distant reading', and 'culturomics'), the article surveys the use of statistics to study both Shakespeare’s text and his reception. Opportunities and strategies for using quantitative data in the classroom are also addressed before concluding with some recommendations: statistics can reveal to us new information about language usage, form, and authorship, but they cannot answer questions of literary meaning and value. For that reason, quantitative analysis will never replace qualitative analysis as the principle mode of literary studies, but that does not mean that quantitative analysis is useless. It can help us identify where we should direct interpretation, and it can add both scope and precision to the information we need to interpret.