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Natural Language Processing in Java: Unleashing the Future of AI with Robust Java Techniques
Natural Language Processing in JavaBuild Intelligent Text Applications Using Java and AI-Powered NLP Techniques
Unlock the power of human language using one of the most reliable programming languages in the world—Java.
Natural Language Processing in Java is a practical, in-depth guide for developers, researchers, and students who want to harness Java’s capabilities to build powerful NLP systems. Whether you're building a chatbot, analyzing sentiment, or designing intelligent search systems, this book walks you through every step—backed by hands-on code, real-world examples, and the latest machine learning and deep learning techniques.
Key coverage of core NLP tokenization, stemming, parsing, embeddings, sentiment analysis, and more
Hands-on implementation using Java libraries like Apache OpenNLP, Stanford NLP, and Deeplearning4j
Real-world Build chatbots, summarizers, and information extraction tools
Deep learning Learn to apply RNNs, LSTMs, and word2vec using Java
Deployment and Best practices for production-level Java NLP systems
Whether you're entering NLP for the first time or expanding your AI toolkit, this book gives you the practical skills and deep understanding to build scalable, intelligent language applications—using a language trusted by the world’s largest tech companies.
Turn raw text into smart systems—start building with Java today.
Unlock the power of human language using one of the most reliable programming languages in the world—Java.
Natural Language Processing in Java is a practical, in-depth guide for developers, researchers, and students who want to harness Java’s capabilities to build powerful NLP systems. Whether you're building a chatbot, analyzing sentiment, or designing intelligent search systems, this book walks you through every step—backed by hands-on code, real-world examples, and the latest machine learning and deep learning techniques.
Key coverage of core NLP tokenization, stemming, parsing, embeddings, sentiment analysis, and more
Hands-on implementation using Java libraries like Apache OpenNLP, Stanford NLP, and Deeplearning4j
Real-world Build chatbots, summarizers, and information extraction tools
Deep learning Learn to apply RNNs, LSTMs, and word2vec using Java
Deployment and Best practices for production-level Java NLP systems
Whether you're entering NLP for the first time or expanding your AI toolkit, this book gives you the practical skills and deep understanding to build scalable, intelligent language applications—using a language trusted by the world’s largest tech companies.
Turn raw text into smart systems—start building with Java today.
158 pages, Kindle Edition
Published April 11, 2025
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