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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

Preparing data


Text extraction is an early step in most NLP tasks. Here, we will quickly cover how text extraction can be performed for HTML, Word, and PDF documents. Although there are several APIs that support these tasks, we will use:

Some APIs support the use of XML for input and output. For example, the Stanford XMLUtils class provides support for reading XML files and manipulating XML data. The LingPipe's XMLParser class will parse XML text.

Organizations store their data in many forms and frequently it is not in simple text files. Presentations are stored in PowerPoint slides, specifications are created using Word documents, and companies provide marketing and other materials in PDF documents. Most organizations have an Internet presence, which means that much useful information is found in HTML documents. Due to the widespread nature of...

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