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The Unsupervised Learning Workshop
book

The Unsupervised Learning Workshop

by Aaron Jones, Christopher Kruger, Benjamin Johnston, Richard Brooker, John Wesley Doyle, Priyanjit Ghosh, Sani Kamal, Ashish Pratik Patil, Philip Solomon, Geetank Raipuria
July 2020
Intermediate to advanced content levelIntermediate to advanced
550 pages
9h 58m
English
Packt Publishing
Content preview from The Unsupervised Learning Workshop

7. Topic Modeling

Overview

In this chapter, we will perform basic cleaning techniques for textual data and then model the cleaned data to derive relevant topics. You will evaluate Latent Dirichlet Allocation (LDA) models and execute non-negative matrix factorization (NMF) models. Finally, you will interpret the results of topic models and identify the best topic model for the given scenario. We will see how topic modeling provides insights into the underlying structure of documents. By the end of this chapter, you will be able to build fully functioning topic models to derive value and insights for your business.

Introduction

In the last chapter, the discussion focused on preparing data for modeling using dimensionality reduction and autoencoding. ...

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Publisher Resources

ISBN: 9781800200708Supplemental Content