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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

How classification is used


Classifying text is used for a number of purposes:

  • Spam detection
  • Authorship attribution
  • Sentiment analysis
  • Age and gender identification
  • Determining the subject of a document
  • Language identification

Spamming is an unfortunate reality for most email users. If an email can be classified as spam, then it can be moved to a spam folder. A text message can be analyzed and certain attributes can be used to designate the email as spam. These attributes can include misspellings, lack of an appropriate email address for the recipients, and a non-standard URL.

Classification has been used to determine the authorship of documents. This has been performed on historical documents, such as The Federalist Papers and the book Primary Colors, where the authors were identified using classification techniques.

Sentiment analysis is a technique that determines the attitude of a piece of text. Movie reviews have been a popular domain for this kind of analysis, but it can be used for almost...

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