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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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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

Preface

With the arrival of ChatGPT in late 2022 and GPT-4 in early 2023, there is an ignited interest in natural language processing (NLP) including large language models (LLMs). You will find this book very helpful if you are picking it up hoping to get a start with NLP, learn and build the NLP techniques that have matured in the past few decades, or understand the differences between pre-LLM and LLM techniques. With the NLP development in the past four decades, there have been many commercial NLP products built on pre-LLM techniques, such as Word2Vec, Doc2Vec, Latent Semantic Analysis (LSA) or called Latent Semantic Indexing (LSI), Latent Dirichlet Allocation (LDA), and Ensemble LDA.

With the help of this book, you will not only get started with NLP to build NLP models but also get equipped with some background knowledge of LLMs. We believe the concepts covered in this book will be the necessary bridge for anyone new who comes to NLP, who wants to build NLP products, and who wants to learn LLMs.

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