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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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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

Preparing a dataset for NLP applications

In this section, we will look at the basic steps that can help you prepare a dataset for NLP or any data science applications. There are basically three steps for preparing your dataset, given as follows:

  • Selecting data
  • Preprocessing data
  • Transforming data

Selecting data

Suppose you are working with world tech giants such as Google, Apple, Facebook, and so on. Then you could easily get a large amount of data, but if you are not working with giants and instead doing independent research or learning some NLP concepts, then how and from where can you get a dataset? First, decide what kind of dataset you need as per the NLP application that you want to develop. Also, consider the end...

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