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Hands-On Python Natural Language Processing - Explore tools and techniques to analyze and process text with a view to building real-world NLP applications (Paperback)
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Hands-On Python Natural Language Processing - Explore tools and techniques to analyze and process text with a view to building real-world NLP applications (Paperback)
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Get well-versed with traditional as well as modern natural language
processing concepts and techniques Key Features 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 Book DescriptionNatural 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. 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 Who this book is forThis 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.
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