Estimate the readability of a text document or corpus of documents.
Plot the variation in readability levels in a text corpus over time.
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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
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.
Estimate the level of readability of a text document or corpus of documents using a number of different readability metrics
Prepare the textual data for plotting by extracting key information from text document filenames and combining these with readability data in a dataframe.
Plot the variation in readability levels in a text document corpus over time.
Reshape the data to paragraph level and plot the distribution of readability over time by paragraph.
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.
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