Natural Language Processing Using R Pocket Primer

  • 4h 4m
  • Oswald Campesato
  • Mercury Learning
  • 2022

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. Companion files with source code and figures are included and available for downloading by emailing the publisher at with proof of purchase.


  • Covers extensive topics related to natural language processing using R
  • Features companion files with source code and figures from the book

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

In this Book

  • Preface
  • Introduction to R
  • Loops, Conditional Logic, and Dataframes
  • Working with Functions in R
  • NLP Concepts (I)
  • NLP Concepts (II)
  • NLP in R
  • Transformer, BERT, and GPT
  • Appendix—Intro to Probability and Statistics