Natural Language Processing With Java
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Natural Language Processing with Java
Author: Richard M. Reese
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-07-31
Explore various approaches to organize and extract useful text from unstructured data using Java Key Features Use deep learning and NLP techniques in Java to discover hidden insights in text Work with popular Java libraries such as CoreNLP, OpenNLP, and Mallet Explore machine translation, identifying parts of speech, and topic modeling 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. 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 Who this book is for Natural Language Processing with Java is for you if you are a data analyst, data scientist, or machine learning engineer who wants to extract information from a language using Java. Knowledge of Java programming is needed, while a basic understanding of statistics will be useful but not mandatory.
Natural Language Processing with Java and LingPipe Cookbook
Author: Breck Baldwin
language: en
Publisher: Packt Publishing Ltd
Release Date: 2014-11-28
This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial.
Natural Language Processing in Java
Author: Ibrahim Anderson
language: en
Publisher: Independently Published
Release Date: 2024-11-21
Hook: Are you ready to transform your Java skills and unlock the power of machines to understand human language? What if you could build cutting-edge chatbots, language translators, and sentiment analyzers-all while mastering one of the most powerful programming languages on the planet? Description: Dive into Natural Language Processing in Java, a groundbreaking guide that combines the elegance of Java with the revolutionary field of Natural Language Processing (NLP). Whether you're a seasoned Java developer or just starting out, this book is your gateway to building intelligent applications that process, analyze, and generate human language. This isn't just a book; it's your hands-on blueprint for implementing NLP techniques using Java. Learn the foundations of language models, explore deep learning architectures like Transformers, and create real-world applications such as chatbots, text classifiers, and multilingual processing systems. What You'll Learn: Set up a Java development environment tailored for NLP tasks. Explore essential NLP techniques like tokenization, stemming, and sentiment analysis. Implement machine learning algorithms for text classification in Java. Master advanced topics like word embeddings, sequence-to-sequence models, and neural networks. Build practical applications like language translators, information extraction tools, and AI chatbots. Optimize your models for real-world deployment on cloud platforms. Who This Book Is For: This book is perfect for developers looking to expand their expertise in Java, data scientists eager to explore a new programming toolset, and tech enthusiasts ready to innovate with language processing. Why Java for NLP? Java's scalability, enterprise-grade reliability, and vast ecosystem make it the ideal choice for deploying NLP applications in production. Paired with powerful libraries like DeepLearning4J, Stanford NLP, and Apache OpenNLP, this book ensures your projects are not only cutting-edge but also production-ready. Call to Action: Don't just code-innovate. Grab your copy of Natural Language Processing in Java today and start building the future of AI-driven applications. Whether you're solving real-world problems or chasing your next big idea, this book will take you there.