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

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781803244945

Length 310 pages

Edition 1st Edition

Tools

fastText

Concepts

Mobile Application Development

Author (1):

Chris Kuo

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Table of Contents (24) Chapters

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

Why subscribe?

23. Other Books You May Enjoy

Who this book is for

This book does not assume any prior linguistic knowledge or NLP techniques, so it is suitable for anyone who wants to learn NLP. Data scientists and professionals who want to develop NLP applications will also find it helpful. If you are an NLP practitioner, you can consider this book as a code reference when working on your projects. Those practicing for an upper-class level NLP course can also use this book.

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

Table of Contents (24) Chapters

Who this book is for

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Authors (1)