SVD with R – Introduction to Text Analytics with R Part 8
SVD with R includes specific coverage of:
– Use of the irlba package to perform truncated SVD.
– How to project a TF-IDF document vector into the SVD semantic space (i.e., LSA).
– Comparison of model performance between a single decision tree and the mighty random forest.
– Exploration of random forest tuning using the caret package.
The data and R code used in this series is available here