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The Natural Language Processing Workshop
book

The Natural Language Processing Workshop

by Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar, Muzaffar Bashir Shah, Sohom Ghosh, Dwight Gunning, Ankit Bhatia, Nagendra Nagaraj, John Bura, Sumit Kumar Raj, Tom Taulli, Ankit Verma
August 2020
Beginner to intermediate content levelBeginner to intermediate
452 pages
7h 42m
English
Packt Publishing
Content preview from The Natural Language Processing Workshop

5. Topic Modeling

Overview

This chapter introduces topic modeling, which means using unsupervised machine learning to find "topics" within a given set of documents. You will explore the most common approaches to topic modeling, which are Latent Semantic Analysis (LSA), Latent Dirichlet Allocation (LDA), and the Hierachical Dirichlet Process (HDP), and learn the differences between them. You will then practice implementing these approaches in Python and review the common practical challenges in topic modeling. By the end of this chapter, you will be able to create topic models from any given dataset.

Introduction

In the previous chapter, we learned about different ways to collect data from local files and online resources. In this chapter, ...

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Publisher Resources

ISBN: 9781800208421Supplemental Content