Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Thể loại:Computers - Computer Science
Năm:2020
Ngôn ngữ:english
Trang:316 / 304
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 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. 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 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.
