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- Level Foundation
- المدة 3 ساعات hours
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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.Auto Summary
Dive into the world of Data Science & AI with "Introduction to Topic Modelling in R" on Coursera. Guided by expert instructors, this foundational course teaches you to load, pre-process text data, and apply LDA topic models. Over just 1 hour, you'll master document feature matrices, dimensionality reduction, and topic distribution analysis. Perfect for beginners with a Starter subscription option.