Library Workshops and Events

Event Details

Using JSTOR's Data for Research

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 22, 2017
Time
12:00PM - 1:00PM
Location
Center for Digital Scholarship Classroom 129 | Hesburgh Library, 1st Floor Northeast
Categories
CDS | Text Mining & Analysis Workshops
Registration has closed.