Introduction to Topic Modelling in R

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In this Guided Project, you will:
No download needed
Split-screen video
Desktop only

By the end of this project, you will know how to load and pre-process a data set of text documents by converting the data set into a document feature matrix and reducing it’s dimensionality. You will also know how to run an unsupervised machine learning LDA topic model (Latent Dirichlet Allocation). You will know how to plot the change in topics over time as well as explore the distribution of topic probability in each document.

Skills you will develop

  • sampling

  • Topic Modelling

  • Unsupervised Learning

  • Data Visualization (DataViz)

  • Text Corpus

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

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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