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Python Natural Language Processing

You're reading from   Python Natural Language Processing Advanced machine learning and deep learning techniques for natural language processing

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121423
Length 486 pages
Edition 1st Edition
Languages
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Practical Understanding of a Corpus and Dataset 3. Understanding the Structure of a Sentences 4. Preprocessing 5. Feature Engineering and NLP Algorithms 6. Advanced Feature Engineering and NLP Algorithms 7. Rule-Based System for NLP 8. Machine Learning for NLP Problems 9. Deep Learning for NLU and NLG Problems 10. Advanced Tools 11. How to Improve Your NLP Skills 12. Installation Guide

Pragmatic analysis

Pragmatic analysis deals with outside word knowledge, which means knowledge that is external to the documents and/or queries. Pragmatics analysis that focuses on what was described is reinterpreted by what it actually meant, deriving the various aspects of language that require real world knowledge.

Let's look at an example:

  • Pruning a tree is a long process.
  • Here, pruning a tree is one of the concepts of computer science algorithm techniques. So, the word pruning is not related to cutting the actual physical tree, we are talking about computer science algorithm. This is an ambiguous situation; how to deal with these kinds of ambiguous situations is also an open area of research. Big tech giants use deep learning techniques to do pragmatics analysis and try to generate the accurate context of the sentence in order to develop highly accurate NLP applications...
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