In this workshop you will learn to identify textual data that can be analyzed by various computer applications, learn which resources among the Libraries' databases can be readily used to capture textual data for this purpose, and how to use existing programs and software to enhance and visualize your arguments about connections among ideas as expressed on the printed page across disciplines from historical events, literature, and secondary scholarly literature. No prior experience with text mining, library databases, or computer applications is necessary.
Open to the entire Baylor community.
If you even vaguely think you'd like to be a part of our Data Scholars Program, please fill out the registration form so we and you can keep track of your progress in the program.
Evaluate this workshop in the Data Scholars Program.
Provides online access to important scholarly journals and books in many different disciplines.
A large-scale collaborative repository of digital content from research libraries including content digitized via Google Books and the Internet Archive digitization initiatives, as well as content digitized locally by libraries.
These are BIG data files so not easily accessible on a laptop. Ask for our help.
Kobayashi, Vladimer B., Stefan T. Mol, Hannah A. Berkers, Gábor Kismihók, and Deanne N. Den Hartog. “Text Mining in Organizational Research.” Organizational Research Methods 21, no. 3 (July 1, 2018): 733–65. https://doi.org/10.1177/1094428117722619.
A sampling of recent articles in areas of social work and related disciplines.