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

Spring Term 2022
Mode: Web-Based
Instructor
Syllabus to come
Program: MSIS/PhD
Unique ID
28250

This class is online only.

Catalog 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.