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Pocket Primer

Natural Language Processing using R Pocket Primer

Frontmatter

Contents

Preface

Chapter 1: Introduction to R

Chapter 2: Loops, Conditional Logic, and Dataframes

Chapter 3: Working with Functions in R

Chapter 4: NLP Concepts (I)

Chapter 5: NLP Concepts (II)

Chapter 6: NLP in R

Chapter 7: Transformer, BERT, and GPT

Appendix: Intro to Probability and Statistics

Index

Companion Files.zip

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 info@merclearning.

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...

Format

Natural Language Processing using R Pocket Primer

Oswald Campesato

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