DigiCordy: The Union College Concordiensis Analyzer | Digital Scholarship

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

Department:

Schaffer Library, Center for Data Analytics

Methods Used:

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

Graph representing frequency of terms 'men' and 'woman' in the Concordiensis.

Line plot of the frequency of the lemmatized search terms “men” and “woman” in the Union College Concordiensis, 1880-2000.

Graph depicting the relative frequency of hockey, football, and basketball in the Concordiensis

Line plot of the frequency of the search terms “hockey,” “football,” and “basketball” in the lower-cased text of the Union College Concordiensis, 1900-1970.

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!