Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781803244945
Length 310 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Chris Kuo Chris Kuo
Author Profile Icon Chris Kuo
Chris Kuo
Arrow right icon
View More author details
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

Topic modeling with BERTopic

BERTopic is a topic modeling algorithm that is based on the BERT word embeddings. In Chapter 14, LDA and BERTopic, we will learn the key components of BERTopic and build our own model. In addition, the BERTopic modeling has its own visualization functions that are similar to pyLDAvis, as seen in Figure 1.4. We will learn to use all the visualization functions as well.

Figure 1.5 shows the top words for eight topics:

ght topics:

Figure 1.5 – An overview of topic modeling results by BERTopic (also presented in Chapter 14)

Figure 1.5 – An overview of topic modeling results by BERTopic (also presented in Chapter 14)

I trust these introductions have given you a strong appetite to dive into each chapter and apply the models discussed in your future work. Now, let's get familiar with the terminology commonly used in NLP.

You have been reading a chapter from
The Handbook of NLP with Gensim
Published in: Oct 2023
Publisher: Packt
ISBN-13: 9781803244945
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime