Natural Language Processing with Java,2nd Edition

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

Natural Language Processing with Java:Techniques for building machine learning and neural network models for NLP,2nd Edition
by:Richard M. Reese - AshishSingh Bhatia
ISBN-10 书号:1788993497
ISBN-13 书号:9781788993494
Edition 版次:2nd Revised edition
Release Finelybook 出版日期:2018-07-31
Publisher Finelybook 出版社:Packt Publishing
pages 页数:318


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.
Contents
1:INTRODUCTION TO NLP
2:FINDING PARTS OF TEXT
3:FINDING SENTENCES
4:FINDING PEOPLE AND THINGS
5:DETECTING PART OF SPEECH
6:REPRESENTING TEXT WITH FEATURES
7:INFORMATION RETRIEVAL
8:CLASSIFYING TEXTS AND DOCUMENTS
9:TOPIC MODELING
10:USING PARSERS TO EXTRACT RELATIONSHIPS
11:COMBINED PIPELINE
12:CREATING A CHATBOT
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
Authors
Richard M Reese
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 topics at hand. His Java books have addressed EJB 3.1,updates to Java 7 and 8,certification,functional programming,jMonkeyEngine,and natural language processing.
AshishSingh Bhatia
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.

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