Quantitative Text Analysis and Measures of Readability in R

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Quantitative Text Analysis and Measures of Readability in R provided by Coursera is a comprehensive online course, which lasts for 1 hour of material. Quantitative Text Analysis and Measures of Readability in R is taught by Nicole Baerg. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • By the end of this project, you will be able to load textual data into R and turn it into a corpus object. You will also understand the concept of measures of readability in textual analysis. You will know how to estimate the level of readability of a text document or corpus of documents using a number of different readability metrics and how to plot the variation in readability levels in a text document corpus over time at the document and paragraph level.

    This project is aimed at beginners who have a basic familiarity with the statistical programming language R and the RStudio environment, or people with a small amount of experience who would like to learn how to measure the readability of textual data.