Nickoal Eichmann-Kalwara (she/her) a digital scholarship librarian at University of Colorado Boulder, in the Center for Research Data & Digital Scholarship (since 2017). Her work centers on historical recovery and archival justice, critical data literacies, and digital humanities infrastructures and project sustainability. She earned her MLIS at Indiana University, and a Master’s in History at […]
Macroscopic Reading through Text Mining
This workshop offers an introduction to text mining, an interdisciplinary computational method and iterative approach for reading documents. It encompasses several techniques that facilitate exploration and identification of word frequencies and co-occurrences, patterns and relationships between phrases, and themes across multiple texts. In this workshop, we’ll reverse-engineer existing text mining projects to introduce important vocabulary, common analysis techniques, data collection and preparation considerations, and potential software choices. We will conclude with a brief demonstration of Voyant, a free web-based tool that enables text analysis discoveries through multiple data visualizations.
Participants are encouraged to bring their own data or have sources in mind as co-learning examples for discussion.