r_subheading-Course Description-r_end This video series includes specific coverage of latent semantic analysis (LSA), vector space model (VSM), & singular value decomposition (SVD). r_break r_break The trade-offs of expanding the text analytics feature space with r_link-N Grams- https://online.datasciencedojo.com/course/Text-Analytics-with-R/model-building-and-evaluation/n-grams-r_end. r_break r_break r_subheading-What You'll Learn-r_end • How bag-of-words representations map to the vector space model. r_break • Usage of the dot product between document vectors as a proxy for correlation. r_break • LSA as a means to address the curse of dimensionality in text analytics. r_break • How LSA is implemented using SVD. r_break • Mapping new data into the lower dimensional SVD space.