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Hands-On Natural Language Processing with PyTorch 1.x

You're reading from Hands-On Natural Language Processing with PyTorch 1.x Build smart, AI-driven linguistic applications using deep learning and NLP techniques

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781789802740

Length 276 pages

Edition 1st Edition

Languages

Processing

Tools

Processing

Concepts

Deep Learning

Author (1):

Thomas Dop

View More author details

Table of Contents (14) Chapters

Preface

1. Section 1: Essentials of PyTorch 1.x for NLP

2. Chapter 1: Fundamentals of Machine Learning and Deep Learning FREE CHAPTER

3. Chapter 2: Getting Started with PyTorch 1.x for NLP

4. Section 2: Fundamentals of Natural Language Processing

5. Chapter 3: NLP and Text Embeddings

6. Chapter 4: Text Preprocessing, Stemming, and Lemmatization

7. Section 3: Real-World NLP Applications Using PyTorch 1.x

8. Chapter 5: Recurrent Neural Networks and Sentiment Analysis

9. Chapter 6: Convolutional Neural Networks for Text Classification

10. Chapter 7: Text Translation Using Sequence-to-Sequence Neural Networks

11. Chapter 8: Building a Chatbot Using Attention-Based Neural Networks

12. Chapter 9: The Road Ahead

13. Other Books You May Enjoy

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In this section, you will learn about the fundamentals of building a Natural Language Processing (NLP) application. You will also learn how to use various NLP techniques, such as word embeddings, CBOW, and tokenization in PyTorch in this section.

This section contains the following chapters:

Chapter 3, NLP and Text Embeddings
Chapter 4, Stemming and Lemmatization

The rest of the chapter is locked

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Authors (1)

Dop

Dop

Thomas Dop is a data scientist at MagicLab, a company that creates leading dating apps, including Bumble and Badoo. He works on a variety of areas within data science, including NLP, deep learning, computer vision, and predictive modeling. He holds an MSc in data science from the University of Amsterdam.

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