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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

Chapter 10: Hands-On Exercise – Building a Trading Bot with Flair

In this final chapter, we will go through a hands-on programming exercise where we will leverage a number of Flair's pre-trained models to build a real-world application. We will build a simple trading bot that uses Flair's Named Entity Recognition (NER) and sentiment analysis tools to make trading decisions. The trading strategy consists of taking the current day's news headlines as input and using NER to determine whether the news articles are discussing a company we are interested in. We will then run sentiment analysis that helps us make a call about whether to hold, buy, or sell this company's stock.

In the first section, we will cover the details of our trading strategy by explaining the motivation behind news sentiment-based trading approaches. Then, we will implement a trading bot using Flair. We plan to wrap the book up with a Flair coding cheat sheet containing a list of the most...

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