Written by Liz Rodrigues<\/p>\n
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Model of the Month Club is a regular DSC event for the fall semester. At each meeting (held monthly as you might have guessed), I am going to be presenting on a digital humanities project that uses a mathematical model to represent and analyze texts. Truth in advertising: I\u2019m not a statistician, I\u2019m a humanist in search of enough statistical understanding to interpret the results as they are relevant in my domain of knowledge.\u00a0<\/span>The goal is to illuminate some of the most common approaches and, with as much detail as our access to\/comprehension of the underlying algorithms allow, parse the assumptions that shape the model reached.<\/p>\n For the first month’s meeting, we looked at the recently-released HathiTrust genre dataset<\/a> published\u00a0by Ted Underwood, Boris Capitanu, Peter Organisciak, Sayan Bhattacharyya, Loretta Auvil, Colleen Fallaw, and J. Stephen Downie as an example of the more general modeling technique of building a classifier<\/a>.<\/p>\n