INF 385T Special Topics in Information Science : Digital Text Analysis
Synchronous class meetings conducted online.
Cross listing of E 382J, hosted by the Dept of English.
Introduction to the computational skills needed to conduct digital text analysis using the R programming language. The analytical activities thus covered include text mining as well as statistics, predictive modeling, content modeling, sentiment analysis, and more.
Restricted to graduate degree seekers in the School of Information during registration periods 1 and 2.
Remaining seats will be made available to outside students on January 13th.
In the meantime, interested non-iSchool students may request a seat reservation by completing this Registration Support Questionnaire.