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Learn how to pre-process test data for text analytics in R in this 27-minute video tutorial. Explore techniques for preparing unseen textual data for predictions using trained models, including caching IDF values for TF-IDF calculations and performing SVD projections. Discover methods for creating predictions and evaluating model effectiveness through accuracy, sensitivity, and specificity metrics. Access accompanying data and R code to practice these concepts hands-on.
Syllabus
Introduction
Alignment
Recap
Code
Summary
Taught by
Data Science Dojo