SVD with R


r_subheading-Course Description-r_end In this tutorial series on r_link-Introduction to Text Analytics with R- https://online.datasciencedojo.com/course/Text-Analytics-with-R-r_end, we will discuss Latent Semantic Analysis by leveraging irla package in R to singular value decomposition. r_break r_break r_subheading-What You'll Learn-r_end • Use of the irlba package to perform truncated SVD. r_break • How to project a TF-IDF document vector into the SVD semantic space (i.e., LSA). r_break • Comparison of model performance between a single decision tree and the mighty random forest. r_break • Exploration of random forest tuning using the caret pack age.

Text Analytics tutorial slides can be accessed r_link-here- https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Text%20Analytics%20with%20R-r_end r_break r_break Download R r_link-here- https://cran.r-project.org/-r_end r_break r_break SMS Spam Collection Dataset used in this tutorial can be accessed r_link-here- https://www.kaggle.com/uciml/sms-spam-collection-dataset-r_end

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