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The Handbook of NLP with Gensim

You're reading from   The Handbook of NLP with Gensim Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803244945
Length 310 pages
Edition 1st Edition
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Author (1):
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Chris Kuo Chris Kuo
Author Profile Icon Chris Kuo
Chris Kuo
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Toc

Table of Contents (24) Chapters Close

Preface 1. Part 1: NLP Basics
2. Chapter 1: Introduction to NLP FREE CHAPTER 3. Chapter 2: Text Representation 4. Chapter 3: Text Wrangling and Preprocessing 5. Part 2: Latent Semantic Analysis/Latent Semantic Indexing
6. Chapter 4: Latent Semantic Analysis with scikit-learn 7. Chapter 5: Cosine Similarity 8. Chapter 6: Latent Semantic Indexing with Gensim 9. Part 3: Word2Vec and Doc2Vec
10. Chapter 7: Using Word2Vec 11. Chapter 8: Doc2Vec with Gensim 12. Part 4: Topic Modeling with Latent Dirichlet Allocation
13. Chapter 9: Understanding Discrete Distributions 14. Chapter 10: Latent Dirichlet Allocation 15. Chapter 11: LDA Modeling 16. Chapter 12: LDA Visualization 17. Chapter 13: The Ensemble LDA for Model Stability 18. Part 5: Comparison and Applications
19. Chapter 14: LDA and BERTopic 20. Chapter 15: Real-World Use Cases 21. Assessments 22. Index 23. Other Books You May Enjoy

LDA Visualization

Topic modeling classifies a large volume of corpora into topics, and each topic has a set of distinct words. It produces very rich information for each topic. The next challenge is how to present the rich information. This challenge is a research topic in the development of NLP.

The good news is that several visual tools have provided the solution, including pyLDAvis, which we will cover in this chapter. We will first discuss the gap between hard topic modeling and soft human comprehension. Then we will learn how to use pyLDAvis.

We will cover the following topics:

  • Designing an infographic
  • Data visualization with pyLDAvis

By the end of this chapter, you will be able to visualize an LDA model using interactive infographics to explain model insights. The design of pyLDAvis infographics has even influenced the visualization of BERTopic model outcomes, which we will practice in Chapter 14, LDA and BERTopic.

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