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INF 385T : Special Topics in Information Science: Digital Text Analysis
Areas
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.
Instructor | Topic Title | Year | Semester | Syllabus |
---|---|---|---|---|
Lars Hinrichs | Digital Text Analysis | 2022 | Spring Term |
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