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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 (21) Chapters

Title Page

Credits

Foreword

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

Customer Feedback

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

Deep learning techniques and NLG

In this section, we are going build a very simple but intuitive application for NLG. We are going to generate a one-line summary from shot articles. We will see all the details about summarization in this section.

This application took a lot of training time so you can put your model to train on CPU and meanwhile, you can do some other task. If you don't have any other task, then let me give you one.

Exercise

Try to figure out how you can generate a Wikipedia article by just providing some starting character sequences. Don't take me wrong! I'm serious! You seriously need to think on this. This is the dataset that you can use: https://einstein.ai/research/the-wikitext-long-term-dependency-language-modeling-dataset. Jump to the download section and download this dataset named Download WikiText-103 word level (181 MB).

(Hint: See this link, https://github.com/kumikokashii/lstm-text-generator.)

Don't worry ;after understanding the concepts of summarization, you can...

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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.

See other products by Jalaj Thanaki

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