Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jul 2018
Publisher
ISBN-13 9781788993494
Length 318 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
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
Arrow right icon
View More author details
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 the Stanford pipeline


In this section, we will discuss the Stanford pipeline in more detail. Although we have used it in several examples in this book, we have not fully explored its capabilities. Having used this pipeline before, you are now in a better position to understand how it can be used. Upon reading this section, you will be able to better assess its capabilities and applicability to your needs. The edu.stanford.nlp.pipeline package holds the StanfordCoreNLP and annotator classes. The general approach uses the following code sequence where the text string is processed. The Properties class holds the annotation names, and the Annotation class represents the text to be processed. The StanfordCoreNLP class's Annotate method will apply annotation specified in the properties list. The CoreMap interface is a basic interface of all annotable objects. It uses key and value pairs. A hierarchy of the classes and interfaces is shown in the following diagram:

It is a simplified version...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image