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Natural Language Processing with Flair

You're reading from   Natural Language Processing with Flair A practical guide to understanding and solving NLP problems with Flair

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801072311
Length 200 pages
Edition 1st Edition
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Author (1):
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Tadej Magajna Tadej Magajna
Author Profile Icon Tadej Magajna
Tadej Magajna
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding and Solving NLP with Flair
2. Chapter 1: Introduction to Flair FREE CHAPTER 3. Chapter 2: Flair Base Types 4. Chapter 3: Embeddings in Flair 5. Chapter 4: Sequence Tagging 6. Part 2: Deep Dive into Flair – Training Custom Models
7. Chapter 5: Training Sequence Labeling Models 8. Chapter 6: Hyperparameter Optimization in Flair 9. Chapter 7: Train Your Own Embeddings 10. Chapter 8: Text Classification in Flair 11. Part 3: Real-World Applications with Flair
12. Chapter 9: Deploying and Using Models in Production 13. Chapter 10: Hands-On Exercise – Building a Trading Bot with Flair 14. Other Books You May Enjoy

Summary

In this chapter, you became familiar with the basic NLP terminology and tasks. As you learn about Flair, you will often come across terms such as tokenization, NER, and POS, and the knowledge gained in this chapter will help you understand what they mean.

You also now understand where Flair sits in the NLP space, what problems it's solving and which fields it excels in. Finally, you've learned how to install Flair inside your virtual environment either from a PyPI package or a Git branch. You are now ready to start coding with Flair!

In the upcoming chapter, we will be covering basic syntax and the basic objects in Flair, known as base types.

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Natural Language Processing with Flair
Published in: Apr 2022
Publisher: Packt
ISBN-13: 9781801072311
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