Machine Learning

Top Books on Natural Language Processing

Last Updated on August 14, 2020

Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data.

The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models.

In this post, you will discover the top books that you can read to get started with natural language processing.

After reading this post, you will know:

  • The top books for practical natural language processing.
  • The top textbooks for the theoretical foundations of natural language processing.
  • The NLP books I have on my shelf.

Kick-start your project with my new book Deep Learning for Natural Language Processing, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

Top Practical Books on Natural Language Processing

As practitioners, we do not always have to grab for a textbook when getting started on a new topic.

Code examples in the book are in the Python programming language.

Although there are fewer practical books on NLP than textbooks, I have tried to pick the top 3 books that will help you get started and bring NLP method to your machine learning
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