Natural Language Processing With Java: Explore Various Approaches to Organize and Extract Useful Text from Unstructured Data Using Java

Reese, Richard M.

ISBN 10: 1784391794 / ISBN 13: 9781784391799

Verlag: Packt Pub Ltd, 2015

Beschreibung

Bestandsnummer des Verkäufers I-9781784391799

Bibliografische Details

Titel: Natural Language Processing With Java: ...

Verlag: Packt Pub Ltd

Erscheinungsdatum: 2015

Einband: Softcover

Zustand: New

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

About This Book

• Integrate basic tasks to tackle more complex NLP problems
• Train NLP models to address domain-specific problem areas
• Learn to use a variety of core NLP techniques with this pragmatic guide

Who This Book Is For

If you are a Java programmer who wants to learn about the fundamental tasks underlying natural language processing, this book is for you. You will be able to identify and use NLP tasks for many common problems, and integrate them in your applications to solve more difficult problems. Readers should be familiar/experienced with Java software development.

What You Will Learn

• Develop a deep understanding of the basic NLP tasks and how they relate to each other
• Discover and use the available tokenization engines
• Implement techniques for end of sentence detection
• Apply search techniques to find people and things within a document
• Construct solutions to identify parts of speech within sentences
• Use parsers to extract relationships between elements of a document
• Integrate basic tasks to tackle more complex NLP problems

In Detail

Natural Language Processing (NLP) is an important area of application development and its relevance in addressing contemporary problems will only increase in the future. There has been a significant increase in the demand for natural language-accessible applications supported by NLP tasks.

Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. It covers concepts of NLP that even those of you without a background in statistics or natural language processing can understand.