Run an unsupervised document scaling model Plot the output of the unsupervised scaling model
By the end of this project, you will learn about the concept of document scaling 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 run an unsupervised document scaling model and explore and plot the scaling outcome.
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 and understand the concept of document scaling in textual analysis
Extract meta-data from text document filenames and subset the data frame to exclude unwanted data
Tokenize and clean the dataset and convert the data into a document feature matrix
Run an unsupervised document scaling model and explore the output
Plot the output of the unsupervised scaling model
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
What will I get if I purchase a Guided Project?
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How much experience do I need to do this Guided Project?
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Can I complete this Guided Project right through my web browser, instead of installing special software?
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What is the learning experience like with Guided Projects?
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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