Introduction to Text Analytics with R - Pre-Processing Our Test Data

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.

Introduction
Alignment
Recap
Code
Summary