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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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Toc

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

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 Part-Of-Speech (POS). These are the parts that we recognize in English as 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 make detecting POS difficult. Various Natural Language Processing (NLP) APIs are then used to illustrate the tagging process. We will also demonstrate how to train a model to address specialized text.

We will cover the following topics in this chapter:

  • The tagging process
  • Using...
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