Text analysis, as a digital research methodology, uses algorithms to analyze and structure digital texts. The linguistic, statistical, and machine learning techniques used in text analysis can provide scholars with fresh perspectives and enable them to explore, interpret, and theorize about texts in new ways. This workshop will introduce some text analysis tools and best practices.
Presented by Tyrica Terry, Diversity Resident, ULS, University of Pittsburgh
Date:
Friday, November 9, 2018
Location:
Hillman Library, Digital Scholarship Commons, G-49
Categories:
Digital Scholarship and Publishing Events, Workshops