NYU Classifieds>NYU Online Courses>Quantitative Text Analysis and Textual Similarity in R

Quantitative Text Analysis and Textual Similarity in R

About this Course

By the end of this project, you will learn about the concept of document similarity in textual analysis in R. You will know how to load and pre-process a data set of text documents by converting the data set into a corpus and document feature matrix. You will know how to calculate the cosine similarity between documents and explore and plot the output of your calculation.

Created by: Coursera Project Network


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