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Natural Language Processing with Java Cookbook
By :
Natural Language Processing with Java Cookbook
By:
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
Free Chapter
Preparing Text for Analysis and Tokenization
Isolating Sentences within a Document
Performing Name Entity Recognition
Detecting POS Using Neural Networks
Performing Text Classification
Finding Relationships within Text
Language Identification and Translation
Identifying Semantic Similarities within Text
Common Text Processing and Generation Tasks
Extracting Data for Use in NLP Analysis
Creating a Chatbot
Installation and Configuration
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