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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

Using NLP APIs

We will demonstrate the NER process using OpenNLP, Stanford API, and LingPipe. Each of these provide alternative techniques that can often do a good job of identifying entities in the text. The following declaration will serve as the sample text to demonstrate the APIs:

String sentences[] = {"Joe was the last person to see Fred. ", 
  "He saw him in Boston at McKenzie's pub at 3:00 where he " 
  + " paid $2.45 for an ale. ", 
  "Joe wanted to go to Vermont for the day to visit a cousin who " 
  + "works at IBM, but Sally and he had to look for Fred"}; 

Using OpenNLP for NER

We will demonstrate the use of the TokenNameFinderModel class to perform NLP using...

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