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.

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Spis treści

Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition eBook -- spis treści

• 1. Introduction to NLP
• 2. Finding Parts of Text
• 3. Finding Sentences
• 4. Finding People and Things
• 5. Detecting Parts of Speech
• 6. Representing text with features
• 7. Information retrieval
• 8. Classifying Texts and Documents
• 9. Topic Modeling
• 10. Using Parser to Extract Relationships
• 11. Combined Pipeline
• 12. Creating chat Bot