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Hands-On Python Natural Language Processing

Hands-On Python Natural Language Processing

By : Kedia, Rasu
4.5 (4)
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Hands-On Python Natural Language Processing

Hands-On Python Natural Language Processing

4.5 (4)
By: Kedia, Rasu

Overview of this book

Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical grounding. This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you’ll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine translation, and developing a chatbot using machine learning and deep learning techniques. The book will also help you discover how machine learning techniques play a vital role in making your linguistic apps smart. Every chapter is accompanied by examples of real-world applications to help you build impressive NLP applications of your own. By the end of this NLP book, you’ll be able to work with language data, use machine learning to identify patterns in text, and get acquainted with the advancements in NLP.
Table of Contents (16 chapters)
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1
Section 1: Introduction
4
Section 2: Natural Language Representation and Mathematics
9
Section 3: NLP and Learning

Phonemes, graphemes, and morphemes

Before we start looking at the steps for building vocabulary, we need to understand phonemes, graphemes, and morphemes:

  • Phonemes can be thought of as the speech sounds, made by the mouth or unit of sound, that can differentiate one word from another in a language.
  • Graphemes are groups of letters of size one or more that can represent these individual sounds or phonemes. The word spoon consists of five letters that actually represent four phonemes, identified by the graphemes s, p, oo, and n.
  • A morpheme is the smallest meaningful unit in a language. The word unbreakable is composed of three morphemes:
    • un—a bound morpheme signifying not
    • break—the root morpheme
    • able—a free morpheme signifying can be done

Now, let's delve into some practical aspects that form the base of every NLP-based system.

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