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

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.

Spring Term 2022
Unique ID
28250
Instructor
Mode: Web-Based