Objectives:
The Text-Mining group selected articles published in The Duke Chronicle from 1930 to 1949 related to student activism at Duke University. Their efforts complemented the work completed by Research Group members, who had identified promising stories in the Chronicle during the course of these two decades. The group used AntConc and NVivo to conduct a systematic review of this 20-year span of The Duke Chronicle for keywords and phrases associated with student activism, based on the Research Group’s manual review.
Organizing the Work:
The group met periodically to learn about text-mining tools and discuss experiences working with the optically recognized text (OCR) of The Duke Chronicle. We discovered that the OCR search capability of the digitized Chronicle was not comprehensive, so we created a process to use text-mining tools to analyze associated text files for the scanned Chronicle. Team members used a text-mining tool called, AntConc, a qualitative analysis software, NVivo, and OCR software, Abbyy FineReader, to process text files and do a comprehensive search for selected keywords across the newspaper. For the steps of this process, please see text-mining documentation.
Group members:
Members included Ryan Denniston, Hannah Rozear, Emily Daly, Brittany Wofford and Amy McDonald.