Your First Test includes specific coverage of:

– Pre-processing new, unseen textual data to allow for predictions from our trained model.
– The importance of caching the IDF values calculated from the training data set to TF-IDF new, unseen, pre-processed …

Cosine Similarity includes specific coverage of:

– How cosine similarity is used to measure similarity between documents in vector space.
– The mathematics behind cosine similarity.
– Using cosine similarity in text analytics feature engineering.
– Evaluation of the effectiveness …

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 …