Real-World Natural Language Processing:

Practical applications with deep learning

Author: Masato Hagiwara

Masato Hagiwara (Author)
Visit Author Page
Books by him and info about author and more.

Are you a Author?
Learn more here

Save 21%
9781617296420
MRP: 5868
You Pay: 4694
You save: 11.74
Leadtime to ship in days (default): Usually ships in 2 days
In stock
Reward points: 41 points
+
Our advantages
  • — SMS notification
  • — Return and exchange
  • — Different payment methods
  • — Best price
  • — Personalised Service
AuthorMasato Hagiwara Leadtime to ship in days (default)Usually ships in 2 days

In Real-world Natural Language Processing you will learn how to:

    Design, develop, and deploy useful NLP applications
    Create named entity taggers
    Build machine translation systems
    Construct language generation systems and chatbots
    Use advanced NLP concepts such as attention and transfer learning


Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more.

About the book

Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process.

What's inside

    Design, develop, and deploy useful NLP applications
    Create named entity taggers
    Build machine translation systems
    Construct language generation systems and chatbots

About the reader
For Python programmers. No prior machine learning knowledge assumed.



Table of Contents


PART 1 BASICS
1 Introduction to natural language processing
2 Your first NLP application
3 Word and document embeddings
4 Sentence classification
5 Sequential labeling and language modeling
PART 2 ADVANCED MODELS
6 Sequence-to-sequence models
7 Convolutional neural networks
8 Attention and Transformer
9 Transfer learning with pretrained language models
PART 3 PUTTING INTO PRODUCTION
10 Best practices in developing NLP applications
11 Deploying and serving NLP applications

Author
Masato Hagiwara
Binding
Paperback
Condition Type
New
Country Origin
USA
Edition
1
Gift Wrap
Yes
Leadtime to ship in days (default)
Usually ships in 2 days
Page
322
Publisher
Manning Publications
Year
2021
Find similar

No posts found

Have you used the product?

Tell us something about it and help others to make the right decision

Write a review
Possibly you may be interested
  • Forthcoming/Pre-Order
  • Bestsellers
  • Recently Viewed
 
 
 
Fast and high quality delivery

Our company makes delivery all over the country

Quality assurance and service

We offer only those goods, in which quality we are sure

Returns within 30 days

You have 30 days to test your purchase