What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Natural Language Processing (NLP) is an interdisciplinary area of research aimed at making machines understand and process human languages. It is an evolving field, with a rapid increase in its acceptability and adoption in industry, and its growth is projected to continue. NLP-based applications are everywhere, and chances are that you already interact with an NLP-enabled application regularly (Alexa, Google Translate, chatbots, and so on). The objective of this book is to provide a hands-on learning experience and help you build NLP applications by understanding key NLP concepts. The book lays particular emphasis on Machine Learning (ML)- and Deep Learning (DL)-based applications and also delves into recent advances such as Bidirectional Encoder Representations from Transformers (BERT). We start this journey by providing a brief context of NLP and introduce you to some existing and evolving applications of NLP.

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

Programming languages versus natural languages
Why should I learn NLP?
Current applications of NLP

Key benefits

Perform various NLP tasks to build linguistic applications using Python libraries

Understand, analyze, and generate text to provide accurate results

Interpret human language using various NLP concepts, methodologies, and tools

Description

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.

Who is this book for?

This NLP Python book is for anyone looking to learn NLP’s theoretical and practical aspects alike. It starts with the basics and gradually covers advanced concepts to make it easy to follow for readers with varying levels of NLP proficiency. This comprehensive guide will help you develop a thorough understanding of the NLP methodologies for building linguistic applications; however, working knowledge of Python programming language and high school level mathematics is expected.

What you will learn

Understand how NLP powers modern applications

Explore key NLP techniques to build your natural language vocabulary

Transform text data into mathematical data structures and learn how to improve text mining models

Discover how various neural network architectures work with natural language data

Get the hang of building sophisticated text processing models using machine learning and deep learning

Check out state-of-the-art architectures that have revolutionized research in the NLP domain

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Hands-On Python Natural Language Processing

₱2245.99

Hands-On Natural Language Processing with PyTorch 1.x

₱2245.99

Python Natural Language Processing Cookbook

₱2806.99

Total ₱ 7,298.97

S Apr 21, 2021

The book starts from the basics of NLP and reaches intermediate levels. I like the various concepts and topics (like CNN, Neural Network) covered in this book.A good balance between theory and practical knowledge.Get your Python caps on and enjoy.

Amazon Verified review

Hoi Nguyen Apr 17, 2021

this is a great book, highly recommended.

Alessio Jun 20, 2022

interessante e semplice

Amazon Customer May 23, 2023

Having learnt quite a bit of machine learning from great books like Hands-on Machine Learning by Aurelion Geron, I decided to pick up some NLP.This book teaches concepts and provides codes to demonstrate various aspects of NLP, which seemed ok, but after going through 40% of the book, there were no coherent case studies put forth. So I am left with knowledge of disparate pieces that I don't quite know how best to put together for a project.I am putting this book aside and practising with another book - Blueprints for Text Analytics with Python. Just started on that one, and it seems much more promising.

Hands-On Python Natural Language Processing: Explore tools and techniques to analyze and process text with a view to building real-world NLP applications

What do you get with eBook?