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)

Generating random numbers

Random number generation is supported in several ways by the Java SDK (Software Development Kit). In addition, there is some Apache support found in the Commons RNG library. In this recipe, we will demonstrate many of these techniques. We start with the use of the Random class and how it can be used to generate numbers beginning with a specified range. This is followed by an examination of the Math.random method and the ThreadLocalRandom class. In additon, Java 8 provides additional stream techniques for generating random numbers.

We will conclude this section with a demonstration of the Apache Commons RNG: Random Numbers Generators project. This API supports the generation of random numbers with the intent of providing more flexibility, speed, and higher quality results. This may prove to be a better choice for many developers. The rationale for the...