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Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition AshishSingh Bhatia, Richard M. Reese

(ebook) (audiobook) (audiobook) Książka w języku 1
Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition AshishSingh Bhatia, Richard M. Reese - okladka książki

Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition AshishSingh Bhatia, Richard M. Reese - okladka książki

Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition AshishSingh Bhatia, Richard M. Reese - audiobook MP3

Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition AshishSingh Bhatia, Richard M. Reese - audiobook CD

Autorzy:
AshishSingh Bhatia, Richard M. Reese
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
318
Dostępne formaty:
     PDF
     ePub
     Mobi
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.

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O autorach książki

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 has recently been exploring R. He is mostly involved in web and mobile development in various capacities. He likes to explore new technologies and share his views and thoughts through various online media and magazines. He believes in sharing his experience with the new generation and also takes part in training and teaching.
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.

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