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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787121423

Length 486 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Artificial Intelligence

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (13) Chapters

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

Summary

This entire section is more about discussing and sharing my views with you. These views may help you go ahead. I have given some suggestions, procedures, and areas that you can check and try to absorb if you like. I have listed down links of some useful blogs and other important links for publicly available datasets. I have also provided cheat sheets for different Python libraries.

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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