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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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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

Understanding the parts of text

There are a number of ways to categorize parts of text. For example, we may be concerned with character-level issues, such as punctuation, with a possible need to ignore or expand contractions. At the word level, we may need to perform different operations, such as the following:

  • Identifying morphemes using stemming and/or lemmatization
  • Expanding abbreviations and acronyms
  • Isolating number units

We cannot always split words with punctuation, because the punctuation is sometimes considered to be part of the word, such as the word can't. We may also be concerned with grouping multiple words to form meaningful phrases. Sentence-detection can also be a factor. We do not necessarily want to group words that cross sentence boundaries.

In this chapter, we are primarily concerned with the tokenization process and a few specialized techniques, such...

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