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  • Book Overview & Buying Natural Language Processing with Java
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Natural Language Processing with Java

Natural Language Processing with Java

By : Richard M. Reese , Richard M Reese
4.6 (7)
Buy this Book
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Natural Language Processing with Java

Natural Language Processing with Java

4.6 (7)
By: Richard M. Reese , Richard M Reese
Buy this Book

Overview of this book

If you are a Java programmer who wants to learn about the fundamental tasks underlying natural language processing, this book is for you. You will be able to identify and use NLP tasks for many common problems, and integrate them in your applications to solve more difficult problems. Readers should be familiar/experienced with Java software development.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Introduction to NLP
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1. Introduction to NLP
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What is NLP?
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Why use NLP?
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Why is NLP so hard?
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Survey of NLP tools
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Overview of text processing tasks
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Understanding NLP models
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Preparing data
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Summary
2
2. Finding Parts of Text
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2. Finding Parts of Text
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Understanding the parts of text
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What is tokenization?
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Simple Java tokenizers
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NLP tokenizer APIs
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Understanding normalization
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Summary
3
3. Finding Sentences
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3. Finding Sentences
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The SBD process
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What makes SBD difficult?
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Understanding SBD rules of LingPipe's HeuristicSentenceModel class
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Simple Java SBDs
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Using NLP APIs
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Training a Sentence Detector model
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Summary
4
4. Finding People and Things
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4. Finding People and Things
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Why NER is difficult?
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Techniques for name recognition
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Using regular expressions for NER
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Using NLP APIs
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Training a model
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Summary
5
5. Detecting Part of Speech
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5. Detecting Part of Speech
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The tagging process
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Using the NLP APIs
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Summary
6
6. Classifying Texts and Documents
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6. Classifying Texts and Documents
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How classification is used
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Understanding sentiment analysis
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Text classifying techniques
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Using APIs to classify text
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Summary
7
7. Using Parser to Extract Relationships
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7. Using Parser to Extract Relationships
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Relationship types
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Understanding parse trees
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Using extracted relationships
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Extracting relationships
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Using NLP APIs
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Extracting relationships for a question-answer system
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Summary
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8. Combined Approaches
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8. Combined Approaches
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Preparing data
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Pipelines
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Creating a pipeline to search text
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Summary
9
Index
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Index

Simple Java tokenizers

There are several Java classes that support simple tokenization; some of them are as follows:

  • Scanner
  • String
  • BreakIterator
  • StreamTokenizer
  • StringTokenizer

Although these classes provide limited support, it is useful to understand how they can be used. For some tasks, these classes will suffice. Why use a more difficult to understand and less efficient approach when a core Java class can do the job? We will cover each of these classes as they support the tokenization process.

The StreamTokenizer and StringTokenizer classes should not be used for new development. Instead, the String class' split method is usually a better choice. They have been included here in case you run across them and wonder whether they should be used or not.

Using the Scanner class

The Scanner class is used to read data from a text source. This might be standard input or it could be from a file. It provides a simple-to-use technique to support tokenization.

The Scanner class uses whitespace as the...

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Natural Language Processing with Java
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