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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
Transforming Text into Data Structures

Text data offers a very unique proposition by not providing any direct representation available for it in terms of numbers. Computers only understand numbers. Representing text using numbers is a challenge. At the same time, it is an opportunity to invent and try out approaches to represent text so that the maximum information can be captured in the process. In this chapter, we will look at how text and math interface. Let's take baby steps toward transforming text data into mathematical data structures that will provide insights on how to actually represent text using numbers and, consequently, build Natural Language Processing (NLP) models.

Pause for a moment here and dwell on how would you try to solve it.

As we progress toward the end of this chapter, we will be better equipped to handle text data as we understand techniques including...

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