Natural Language Processing with Java Cookbook

Natural Language Processing with Java Cookbook Front Cover
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386 pages

Book Description

A problem-solution guide to encounter various tasks utilizing open source libraries and cloud-based solutions

Key Features

  • Perform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach
  • Utilize cloud-based APIs to perform machine translation operations

Book Description

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 and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/ 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's 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, sentences, or semantic words.

What you will learn

  • Explore how to use tokenizers in NLP processing
  • Implement NLP techniques in machine learning and deep learning applications
  • Identify sentences within the text and learn how to train specialized NER models
  • Learn how to classify documents and perform sentiment analysis
  • Find semantic similarities between text elements and extract text from a variety of sources
  • Preprocess text from a variety of data sources
  • Learn how to identify and translate languages

Who this book is for

This book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.

Table of Contents

  1. Preparing Text for Analysis and Tokenization
  2. Isolating Sentences Within a Document
  3. Performing Name Entity Recognition
  4. Detecting Parts of Speech Using Neural
  5. Performing Text Classification
  6. Finding Relationships Within Text
  7. Language Identification and Translation
  8. Identifying Semantic Similarities Within Text
  9. Common Text Processing and Generation Tasks
  10. Extracting Data for Use in NLP Analysis
  11. Creating a Chat Bot
  12. Appendix: Installation and Configuration

Book Details

  • Title: Natural Language Processing with Java Cookbook
  • Author:
  • Length: 386 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-04-25
  • ISBN-10: 178980115X
  • ISBN-13: 9781789801156