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Natural Language Processing with Java Cookbook

You're reading from   Natural Language Processing with Java Cookbook Over 70 recipes to create linguistic and language translation applications using Java libraries

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789801156
Length 386 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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Table of Contents (14) Chapters Close

Preface 1. Preparing Text for Analysis and Tokenization FREE CHAPTER 2. Isolating Sentences within a Document 3. Performing Name Entity Recognition 4. Detecting POS Using Neural Networks 5. Performing Text Classification 6. Finding Relationships within Text 7. Language Identification and Translation 8. Identifying Semantic Similarities within Text 9. Common Text Processing and Generation Tasks 10. Extracting Data for Use in NLP Analysis 11. Creating a Chatbot 12. Installation and Configuration 13. Other Books You May Enjoy

Performing Name Entity Recognition

When documents are analyzed, we often need to extract information about its contents and relationships between elements of the document. If we encounter a person's name, we may also be expecting that person's email address or phone number. These elements are referred to as entities. Named-entity recognition (NER) is the process of locating different types of entities within a document.

There are different types of entities, including names, addresses, dates, and locations. Likewise, there are different ways of isolating entities in text. We will be illustrating many of these approaches in this chapter.

There are several techniques we will demonstrate in this chapter. The variety of techniques will provide developers with options of how to find entities depending on the problem and environment in question. We will start with illustrations...

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