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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

Understanding the components of the word2vec model

In this section, we will get an understanding of the main three components of the word2vec model, which are given as follows:

  • Input of word2vec
  • Output of word2vec
  • Construction components of the word2vec model

Input of the word2vec

First of all, we should be aware of our input for developing the word2vec model, because that is a fundamental thing, from which you can start building word2vec.

So, I want to state that we will use a raw text corpus as an input for developing the word2vec model.

In real-life applications, we use large corpora as input. For simplicity, we will use a fairly small corpus to understand the concepts in this chapter. In later parts of this chapter,...

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