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Python Natural Language Processing Cookbook

You're reading from   Python Natural Language Processing Cookbook Over 60 recipes for building powerful NLP solutions using Python and LLM libraries

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781803245744
Length 312 pages
Edition 2nd Edition
Languages
Concepts
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Authors (2):
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Saurabh Chakravarty Saurabh Chakravarty
Author Profile Icon Saurabh Chakravarty
Saurabh Chakravarty
Zhenya Antić Zhenya Antić
Author Profile Icon Zhenya Antić
Zhenya Antić
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Toc

Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Learning NLP Basics 2. Chapter 2: Playing with Grammar FREE CHAPTER 3. Chapter 3: Representing Text – Capturing Semantics 4. Chapter 4: Classifying Texts 5. Chapter 5: Getting Started with Information Extraction 6. Chapter 6: Topic Modeling 7. Chapter 7: Visualizing Text Data 8. Chapter 8: Transformers and Their Applications 9. Chapter 9: Natural Language Understanding 10. Chapter 10: Generative AI and Large Language Models 11. Index 12. Other Books You May Enjoy

Technical requirements

Throughout this book, we will use Poetry to manage the Python package installations. You can use the latest version of Poetry since it conserves the previous versions’ functionality. Once you install Poetry, managing which packages to install will be very easy. We will be using Python 3.9 throughout the book. You will also need to have Jupyter installed in order to run the notebooks.

Note

You may try to use Google Colab in order to run the notebooks but you will need to tweak the code to make it work with Colab.

Follow these installation steps:

  1. Install Git: https://github.com/git-guides/install-git.
  2. Install Poetry: https://python-poetry.org/docs/#installation.
  3. Install Jupyter: https://jupyter.org/install.
  4. Clone the GitHub repository that contains all the code from this book (https://github.com/PacktPublishing/Python-Natural-Language-Processing-Cookbook-Second-Edition) by issuing the following command in the terminal:
...
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