Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition - Softcover

Reese, Richard M; Bhatia, Ashishsingh

Softcover

ISBN 10: 1788993497 ISBN 13: 9781788993494

Publisher: Packt Publishing, 2018

Synopsis

Explore various approaches to organize and extract useful text from unstructured data using Java

Key Features

• Use deep learning and NLP techniques in Java to discover hidden insights in text
• Work with popular Java libraries such as CoreNLP, OpenNLP, and Mallet
• Explore machine translation, identifying parts of speech, and topic modeling

Book Description

Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes.

You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more.

By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications.

What you will learn

• Understand basic NLP tasks and how they relate to one another
• Discover and use the available tokenization engines
• Apply search techniques to find people, as well as things, within a document
• Construct solutions to identify parts of speech within sentences
• Use parsers to extract relationships between elements of a document
• Identify topics in a set of documents
• Explore topic modeling from a document

Who this book is for

Natural Language Processing with Java is for you if you are a data analyst, data scientist, or machine learning engineer who wants to extract information from a language using Java. Knowledge of Java programming is needed, while a basic understanding of statistics will be useful but not mandatory.

Table of Contents

1. Introduction to NLP
2. Finding Parts of Text
3. Finding Sentences
4. Finding People and Things
5. Detecting Parts of Speech
6. Representing text with features
7. Information retrieval
8. Classifying Texts and Documents
9. Topic Modeling
10. Using Parser to Extract Relationships
11. Combined Pipeline
12. Creating chat Bot

About this title

About the Authors

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java

AshishSingh Bhatia is a reader and learner at his core. He has more than 11 years of rich experience in different IT sectors, encompassing training, development, and management. He has worked in many domains, such as software development, ERP, banking, and training. He is passionate about Python and Java, and recently he has been exploring R. He is mostly involved in web and mobile developments in various capacity. He always likes to explore new technologies and share his views and thoughts through various online medium and magazines. He believes in sharing his experience with new generation and do take active part in training and teaching also.

Edition details

• Publisher: Packt Publishing
• Publication date: 2018
• Language: English
• ISBN 10: 1788993497
• ISBN 13: 9781788993494
• Binding: Paperback
• Edition number: 2
• Number of pages: 318