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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

Lexicons

Lexicons can be defined as the vocabulary of a person, language, or branch of knowledge. In simple terms, a lexicon can be thought of as a dictionary of terms that are called lexemes. For instance, the terms used by medical practitioners can be thought of as a lexicon for their profession. As an example, when trying to build an algorithm to convert a physical prescription provided by doctors into an electronic form, the lexicons would be primarily composed of medical terms. Lexicons are used for a wide variety of NLP tasks, where they are provided as a list of words, or vocabulary. Conversations in the concerned field are driven by their respective vocabulary. In this chapter, we will look at the steps and processes involved in building a natural language vocabulary.

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