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You're reading from  Hands-On Natural Language Processing with PyTorch 1.x

Product typeBook
Published inJul 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781789802740
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Mobile Application Development
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Author (1)
Thomas Dop
Thomas Dop
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Thomas 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.
Read more about Thomas Dop

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Summary

In this chapter, we have covered both stemming and lemmatization in detail by exploring the functionality of both methods, their use cases, and how they can be implemented. Now that we have covered all of the fundamentals of deep learning and NLP preprocessing, we are ready to start training our own deep learning models from scratch.

In the next chapter, we will explore the fundamentals of NLP and demonstrate how to build the most widely used models within the field of deep NLP: recurrent neural networks.

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Hands-On Natural Language Processing with PyTorch 1.x
Published in: Jul 2020Publisher: PacktISBN-13: 9781789802740
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Thomas 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.
Read more about Thomas Dop

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