Richard M. Reese - Natural Language Processing with Java

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First published: March 2015
Second edition: July 2018

Production reference: 1300718

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ISBN 978-1-78899-349-4

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Richard M. Reese has worked in both industry and academia. For 17 years, he worked in the telephone and aerospace industries, serving in several capacities, including research and development, software development, supervision, and training. He currently teaches at Tarleton State University. Richard has written several Java books and a C Pointer book. He uses a concise and easy-to-follow approach to teaching about topics. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, functional programming, jMonkeyEngine, and natural language processing.

AshishSingh Bhatia is a learner, reader, seeker, and developer at core. He has over 10 years of IT experience in different domains, including banking, ERP, and education. He is persistently passionate about Python, Java, R, and web and mobile development. He is always ready to explore new technologies.

Doug Ortiz is an experienced enterprise cloud, big data, data analytics, and solutions architect who has designed, developed, re-engineered, and integrated enterprise solutions. His other expertise is in Amazon Web Services, Azure, Google Cloud, business intelligence, Hadoop, Spark, NoSQL databases, and SharePoint, to mention just a few.

He is the founder of Illustris, LLC, and is reachable at dougortiz@illustris.org.

Paraskevas V. Lekeas received his PhD and MS in CS from the NTUA, Greece, where he conducted his postdoc on algorithmic engineering, and he also holds degrees in math and physics from the University of Athens. He was a professor at the TEI of Athens and the University of Crete before taking an internship at the University of Chicago. He has extensive experience in knowledge discovery and engineering, having addressed many challenges for startups and for corporations using a diverse arsenal of tools and technologies. He is leading the data group at H5, helping H5 advancing in innovative knowledge discovery.

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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, Mallet, and more. You'll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts of speech, parsing trees, and more. You'll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and other things.