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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

Using regular expressions for NER

Regular expressions can be used to identify entities in a document. We will investigate two general approaches:

  • The first one uses regular expressions as supported by Java. These can be useful in situations where the entities are relatively simple and consistent in their form.
  • The second approach uses classes designed to specifically use regular expressions. To demonstrate this, we will use LingPipe's RegExChunker class.

When working with regular expressions, it is advantageous to avoid reinventing the wheel. There are many sources for predefined and tested expressions. One such library can be found at http://regexlib.com/Default.aspx. We will use several of the regular expressions in this library for our examples.

To test how well these approaches work, we will use the following text for most of our examples:

private static String regularExpressionText
    = "He left his email address (rgb@colorworks.com) and his "
    + "phone number,800...
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