Natural Language Processing with Java Cookbook
Over 70 recipes to create linguistic and language translation applications using Java libraries
Published on 25. April 2019
Book
Paperback/Softback
386 pages
978-1-78980-115-6 (ISBN)
Description
A problem-solution guide to encountering various NLP tasks utilizing Java open source libraries and cloud-based solutions
Key Features
Perform simple-to-complex NLP text processing tasks using modern Java libraries
Extract relationships between different text complexities using a problem-solution approach
Utilize cloud-based APIs to perform machine translation operations
Book DescriptionNatural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks.
At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon Web Services (AWS). You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization.
By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentence, or semantic word.What you will learn
Explore how to use tokenizers in NLP processing
Implement NLP techniques in machine learning and deep learning applications
Identify sentences within text and learn how to train specialized NER models
Learn how to classify documents and perform sentiment analysis
Find semantic similarities between text elements and extract text from a variety of sources
Preprocess text from a variety of data sources
Learn how to identify and translate languages
Who this book is forThis book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.
Key Features
Perform simple-to-complex NLP text processing tasks using modern Java libraries
Extract relationships between different text complexities using a problem-solution approach
Utilize cloud-based APIs to perform machine translation operations
Book DescriptionNatural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks.
At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon Web Services (AWS). You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization.
By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentence, or semantic word.What you will learn
Explore how to use tokenizers in NLP processing
Implement NLP techniques in machine learning and deep learning applications
Identify sentences within text and learn how to train specialized NER models
Learn how to classify documents and perform sentiment analysis
Find semantic similarities between text elements and extract text from a variety of sources
Preprocess text from a variety of data sources
Learn how to identify and translate languages
Who this book is forThis book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 21 mm
Weight
719 gr
ISBN-13
978-1-78980-115-6 (9781789801156)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Richard M. Reese Reese | Richard M. Reese
Natural Language Processing with Java Cookbook
Over 70 recipes to create linguistic and language translation applications using Java libraries
E-Book
04/2019
1st Edition
Packt Publishing Limited
€31.49
Available for download
Person
Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java 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, where he has the opportunity to apply his years of industry experience to enhance his teaching. Richard has written several Java books and a C pointer book. He uses a concise and easy-to-follow approach to the topics at hand. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, jMonkeyEngine, natural language processing, functional programming, networks, and data science.
Content
Table of Contents
Preparing Text for Analysis and Tokenization
Isolating Sentences Within a Document
Performing Name Entity Recognition
Detecting Parts of Speech Using Neural Networks
Performing Text Classification
Finding Relationships Within Text
Language Identification and Translation
Identifying Semantic Similarities Within Text
Common Text Processing and Generation Tasks
Extracting Data for Use in NLP Analysis
Creating a Chat Bot
Appendix: Installation and Configuration
Preparing Text for Analysis and Tokenization
Isolating Sentences Within a Document
Performing Name Entity Recognition
Detecting Parts of Speech Using Neural Networks
Performing Text Classification
Finding Relationships Within Text
Language Identification and Translation
Identifying Semantic Similarities Within Text
Common Text Processing and Generation Tasks
Extracting Data for Use in NLP Analysis
Creating a Chat Bot
Appendix: Installation and Configuration