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Hands-On Python Natural Language Processing

You're reading from   Hands-On Python Natural Language Processing Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838989590
Length 316 pages
Edition 1st Edition
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Authors (2):
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Mayank Rasu Mayank Rasu
Author Profile Icon Mayank Rasu
Mayank Rasu
Aman Kedia Aman Kedia
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Aman Kedia
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction
2. Understanding the Basics of NLP FREE CHAPTER 3. NLP Using Python 4. Section 2: Natural Language Representation and Mathematics
5. Building Your NLP Vocabulary 6. Transforming Text into Data Structures 7. Word Embeddings and Distance Measurements for Text 8. Exploring Sentence-, Document-, and Character-Level Embeddings 9. Section 3: NLP and Learning
10. Identifying Patterns in Text Using Machine Learning 11. From Human Neurons to Artificial Neurons for Understanding Text 12. Applying Convolutions to Text 13. Capturing Temporal Relationships in Text 14. State of the Art in NLP 15. Other Books You May Enjoy
NLP Using Python

Natural Language Processing (NLP) research and development is occurring concurrently in many programming languages. Some very popular NLP libraries are written in various programming languages, such as Java, Python, and C++. However, we have chosen to write this book in Python and, in this chapter, we'll discuss the merits of using Python to delve into NLP. We'll also introduce the important Python libraries and tools that we will be using throughout this book.

In the chapter, we'll cover the following topics:

  • Understanding Python with NLP
  • Important Python libraries
  • Web scraping libraries and methodology
  • Overview of Jupyter Notebook

Let's get started!

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