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Python Natural Language Processing
Python Natural Language Processing

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

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Profile Icon Jalaj Thanaki
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$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6 (5 Ratings)
Paperback Jul 2017 486 pages 1st Edition
eBook
$39.59 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Jalaj Thanaki
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6 (5 Ratings)
Paperback Jul 2017 486 pages 1st Edition
eBook
$39.59 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$39.59 $43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $19.99p/m

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Python Natural Language Processing

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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

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2017
Length: 486 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121423
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Product Details

Publication date : Jul 31, 2017
Length: 486 pages
Edition : 1st
Language : English
ISBN-13 : 9781787121423
Category :
Languages :
Tools :

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Frequently bought together


Stars icon
Total $ 159.97
Python Deep Learning
$60.99
Python Machine Learning, Second Edition
$43.99
Python Natural Language Processing
$54.99
Total $ 159.97 Stars icon

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
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