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.
Recommended experience
What you'll learn
Load textual data into R, and pre-process it
Convert textual data into a document feature matrix Run an LDA topic model on your data
Skills you'll practice
Details to know
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About this Guided Project
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:
Load textual data into R, and pre-process it to prepare it for topic modelling
Convert textual data into a document feature matrix and reduce its dimensionality before applying the model.
Run an LDA topic model on your data and explore the topics identified by the model as well as the most frequently used words associated with each topic.
Plot the change in topics over time in your data as well as to explore the distribution of topic probabilities in each of your textual documents.
Recommended experience
Basic R programming
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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