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

Richard M. Reese,AshishSingh Bhatia

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition
Format
Paperback
Publisher
Packt Publishing Limited
Country
United Kingdom
Published
31 July 2018
Pages
318
ISBN
9781788993494

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

Richard M. Reese,AshishSingh Bhatia

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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 DescriptionNatural 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 forNatural 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.

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