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JSTOR’s Data For Research (http://dfr.jstor.org) is an alternative interface to the venerable JSTOR collection of journal articles, and this hands-on class teaches participants how to use computers to analyze these materials. Sometimes called “distant” or “scalable” reading — forms of digital humanities research — this class demonstrates ways to literally count and tabulate the frequency of words in a text in order to find patterns and anomalies within it. Based on the resulting analysis, it is possible to more quickly learn what a corpus is about when compared to reading the corpus without the use of a computer. JSTOR journal articles lend themselves quite easily to this sort of analysis. There are no prerequisites, but participants may want to bring their own laptop to the session.

Date:
Wednesday, February 8, 2017
Time:
12:00PM - 1:00PM
Location:
Presenter:
Eric Morgan
Categories:
CDS | Text Mining & Analysis Workshops
Registration (7 seats left)

Registration is required for this event.