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Python Natural Language Processing

You're reading from Python Natural Language Processing

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Pages 486 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Table of Contents (13) Chapters

Preface

1. Introduction

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 basics of word2vec

Here, we will try to handle semantics at word level by using word2vec. Then, we will expand our concepts to paragraph level and document level. By looking at Figure 6.1, you will see the different kinds of semantics that we are going to cover in this book:

Figure 6.1: Different kinds of semantics

Semantics is a branch that deals with meaning in the area of NLP. We have already covered lexical semantic in Chapter 3, Understanding Structure of Sentences. So, here we will discuss more about distributional semantics. There are also other techniques or types in semantics, such as formal semantics compositional semantics; but right now, in this book, we are not going to cover these types or techniques.

Distributional semantics

...

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