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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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Technical requirements

For the text preprocessing in this chapter, we will mostly use inbuilt Python functions, but we will also use the external BeautifulSoup package. For stemming and lemmatization, we will use the NLTK Python package. All the code in this chapter can be found at https://github.com/PacktPublishing/Hands-On-Natural-Language-Processing-with-PyTorch-1.x/tree/master/Chapter4.

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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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