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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

Understanding vectors and matrices

The introduction to this chapter touched upon the challenge of representing text data in a mathematical form. Two of the most popular data structures used with text data are vectors and matrices. We will now have a look at each one of these in detail.

Vectors

Vectors are a one-dimensional array of numbers in which each number could be identified by its respective indices. They are typically represented as a column enclosed in square brackets, as shown here:

In this example, the x vector has three elements, and these three elements store information about the vector. Mathematicians abstract vectors as an object in space, where each element of the vector represents the projection of that vector along a given axis. We often use the term Rn to define a vector, where R is a representation mechanism and n denotes the number of dimensions used to describe the vector. In general, Rn is the set of all n-tuples of real numbers.

In the preceding example, the...

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