DigiCordy: The Union College Concordiensis Analyzer

Creators: Adam Mazel, under the guidance of Nick Webb; data provided by Joanna DiPasquale and CDLS


Schaffer Library, Center for Data Analytics

Methods Used:

Python, Streamlit, Natural Language Processing (NLP), Term Frequency over Time, and Optical Character Recognition.

Project Description

Schaffer Library-Center for Data Analytics collaboration to create a suite of analytical tools and web-based interface to enable interactive Computational Text Analysis of the Union College Concordiensis, 1880-2000.

Why Digital?

Computational Text Analysis is the only feasible way to uncover trends in the entire run of the Concordiensis--this tool makes these analyses (asking and answering large-scale questions) possible for others to do.

Link coming soon!