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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

Product type Paperback

Published in Jul 2018

Publisher

ISBN-13 9781788993494

Length 318 pages

Edition 2nd Edition

Languages

Java

Tools

Processing

Concepts

Machine Learning

Authors (2):

Ashish Bhatia

Richard M. Reese

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Table of Contents (14) Chapters

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

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Pipelines

A pipeline is nothing more than a sequence of operations where the output of one operation is used as the input to another operation. We have seen it used in several examples in previous chapters but they have been relatively short. In particular, we saw how the Stanford StanfordCoreNLP class, with its use of annotators objects, supports the concept of pipelines nicely. We will discuss this approach in the next section. One of the advantages of a pipeline, if structured properly, is that it allows the easy addition and removal of processing elements. For example, if one step of the pipeline converts a token to lowercase, then it is easy to simply remove this step, with the remaining elements of the pipeline left untouched. However, some pipelines are not always this flexible. One step may require a previous step in order to work properly. In a pipeline, such as the one supported by the StanfordCoreNLP class, the following set of annotators is needed to support POS processing:

 props...

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Authors (1)

Richard M. Reese

Richard M. Reese

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java

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