Spring 2022

INF 385T Special Topics in Information Science: Digital Text Analysis

Unique ID: 28250

   Mon

09:00 AM - 12:00 PM  

Synchronous class meetings conducted online.
Cross listing of E 382J, hosted by the Dept of English.

Review Previous Course Iterations & Syllabi

Online

DESCRIPTION

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.

PREREQUISITES

Graduate standing.

RESTRICTIONS

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.