Book Image

Natural Language Processing with Java Cookbook

By : Richard M. Reese
Book Image

Natural Language Processing with Java Cookbook

By: Richard M. Reese

Overview of this book

Natural 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.
Table of Contents (14 chapters)

Preface

NLP is a rapidly changing field with numerous supporting APIs. Keeping abreast of changes to these technologies and APIs can be challenging. In addition, there are numerous languages that provide access to NLP functionality.

This cookbook covers many of these techniques with a series of recipes using Java. Each recipe addresses one or more NLP technique and provides a template for using these techniques. Step-by-step instructions will guide the user through each recipe. This facilitates the reader's learning of these technologies and the development of their understanding of how to use them.

The book is organized around common NLP tasks. The chapters do not need to be followed sequentially and can be read in any order.