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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

Chapter 5. Detecting Part of Speech

Previously, we identified parts of text such as people, places, and things. In this chapter, we will investigate the process of finding POS. These are the parts that we recognize in English as the grammatical elements, such as nouns and verbs. We will find that the context of the word is an important aspect of determining what type of word it is.

We will examine the tagging process, which essentially assigns a POS to a tag. This process is at the heart of detecting POS. We will briefly discuss why tagging is important and then examine the various factors that makes detecting POS difficult. Various NLP APIs are then used to illustrate the tagging process. We will also demonstrate how to train a model to address specialized text.

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