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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Techniques for building machine learning and neural network models for NLP

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Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
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Authors (2):
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Ashish Bhatia Ashish Bhatia
Author Profile Icon Ashish Bhatia
Ashish Bhatia
Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
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Table of Contents (14) Chapters Close

Preface 1. Introduction to NLP FREE CHAPTER 2. Finding Parts of Text 3. Finding Sentences 4. Finding People and Things 5. Detecting Part of Speech 6. Representing Text with Features 7. Information Retrieval 8. Classifying Texts and Documents 9. Topic Modeling 10. Using Parsers to Extract Relationships 11. Combined Pipeline 12. Creating a Chatbot 13. Other Books You May Enjoy

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 developments. Instead, the String class' split method is usually a better choice. They have been included here in case you come across them and wonder whether they should be used or not.

Using the Scanner class...

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