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Natural Language Processing with Java

You're reading from   Natural Language Processing with Java Explore various approaches to organize and extract useful text from unstructured data using Java

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784391799
Length 262 pages
Edition 1st Edition
Languages
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Authors (2):
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Richard M. Reese Richard M. Reese
Author Profile Icon Richard M. Reese
Richard M. Reese
Richard M Reese Richard M Reese
Author Profile Icon Richard M Reese
Richard M Reese
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Toc

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...

You have been reading a chapter from
Natural Language Processing with Java
Published in: Mar 2015
Publisher:
ISBN-13: 9781784391799
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