Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Python Natural Language Processing
Python Natural Language Processing

Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing

eBook
€8.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Table of content icon View table of contents Preview book icon Preview Book

Python Natural Language Processing

Introduction

In this chapter, we'll have a gentle introduction tonatural language processing (NLP) and how natural language processing concepts are used in real-life artificial intelligence applications. We will focus mainly on Python programming paradigms, which are used to develop NLP applications. Later on, the chapter has a tips section for readers. If you are really interested in finding out about the comparison of various programming paradigms for NLP and why Python is the best programming paradigm then, as a reader, you should go through the Preface of this book. As an industry professional, I have tried most of the programming paradigms for NLP. I have used Java, R, and Python for NLP applications. Trust me, guys, Python is quite easy and efficient for developing applications that use NLP concepts.

We will cover following topics in this chapter:

  • Understanding NLP
  • Understanding basic applications
  • Understanding advance applications
  • Advantages of the togetherness--NLP and Python
  • Environment setup for NLTK
  • Tips for readers
Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Implement Machine Learning and Deep Learning techniques for efficient natural language processing
  • Get started with NLTK and implement NLP in your applications with ease
  • Understand and interpret human languages with the power of text analysis via Python

Description

This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world.

Who is this book for?

This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them.

What you will learn

  • Focus on Python programming paradigms, which are used to develop NLP applications
  • Understand corpus analysis and different types of data attribute.
  • Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on
  • Learn about Features Extraction and Feature selection as part of Features Engineering.
  • Explore the advantages of vectorization in Deep Learning.
  • Get a better understanding of the architecture of a rule-based system.
  • Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems.
  • Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems.

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2017
Length: 486 pages
Edition : 1st
Language : English
ISBN-13 : 9781787285521
Category :
Languages :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Jul 31, 2017
Length: 486 pages
Edition : 1st
Language : English
ISBN-13 : 9781787285521
Category :
Languages :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 120.97
Python Natural Language Processing
€41.99
Python Machine Learning, Second Edition
€32.99
Python Deep Learning
€45.99
Total 120.97 Stars icon
Banner background image

Table of Contents

12 Chapters
Introduction Chevron down icon Chevron up icon
Practical Understanding of a Corpus and Dataset Chevron down icon Chevron up icon
Understanding the Structure of a Sentences Chevron down icon Chevron up icon
Preprocessing Chevron down icon Chevron up icon
Feature Engineering and NLP Algorithms Chevron down icon Chevron up icon
Advanced Feature Engineering and NLP Algorithms Chevron down icon Chevron up icon
Rule-Based System for NLP Chevron down icon Chevron up icon
Machine Learning for NLP Problems Chevron down icon Chevron up icon
Deep Learning for NLU and NLG Problems Chevron down icon Chevron up icon
Advanced Tools Chevron down icon Chevron up icon
How to Improve Your NLP Skills Chevron down icon Chevron up icon
Installation Guide Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6
(5 Ratings)
5 star 60%
4 star 0%
3 star 0%
2 star 20%
1 star 20%
Mattia May 13, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
La cost migliore è is fatto Che non vine date nulla per scontato. L’autore è in grado di spezzettare i contenuti in modo tale da rendere la lettura piacevole e scorrevole. Codici utilissimi.
Amazon Verified review Amazon
Amazon Customer Jan 13, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Just loved this book. It makes very few assumptions about the reader in terms of background and quick start guide if you have basics of programming clear. Loved the way the content is structured and the effort to explain things in simple terms. Most examples are so relatable that its make the understanding of concepts very clear. Would have loved if a chapter int he beginning was dedicated to some important terms in natural language processing making it even more simple to a newbie to connect faster.For anybody who wants to understand NLP and has basic programming skills, this is the book to read. Loved it!
Amazon Verified review Amazon
pavan May 02, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
great book. helps a lot in gaining good knowledge on NLP techniques and how to implement in python
Amazon Verified review Amazon
Liang Yi Jan 21, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
The book is very unreadable. There are many mistakes. The author wrote many useless stuff whereas explained not enough on important things like parser, NER. I am disappointed.
Amazon Verified review Amazon
N. Vadulam Feb 23, 2018
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
This book uses Python 2.7. It is obsolete, even though the publication date is shown as 2017.Look elsewhere.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.