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Natural Language Processing using R Pocket Primer
Natural Language Processing using R Pocket Primer

Natural Language Processing using R Pocket Primer: Learn Essential NLP Techniques and Tools for Developers

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€31.99
eBook Aug 2024 266 pages 1st Edition
eBook
€31.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€31.99
eBook Aug 2024 266 pages 1st Edition
eBook
€31.99
eBook
€31.99

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Key benefits

  • Comprehensive introduction to NLP concepts and techniques using R
  • Practical examples using popular NLP libraries
  • Detailed coverage of advanced models like BERT and GPT

Description

This book is for developers seeking an overview of basic concepts in Natural Language Processing (NLP). It caters to a technical audience, offering numerous code samples and listings to illustrate the wide range of topics covered. The journey begins with managing data relevant to NLP, followed by two chapters on fundamental NLP concepts. This foundation is reinforced with Python code samples that bring these concepts to life. The book then delves into practical NLP applications, such as sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and chatbots. These examples provide real-world context and demonstrate how NLP techniques can be applied to solve common problems. The final chapter introduces advanced topics, including the Transformer architecture, BERT-based models, and the GPT family, highlighting the latest state-of-the-art developments in the field. Appendices offer additional resources, including Python code samples on regular expressions and probability/statistical concepts, ensuring a well-rounded understanding. Companion files with source code and figures enhance the learning experience, making this book a comprehensive guide for mastering NLP techniques and applications.

Who is this book for?

Ideal for developers with a basic understanding of R and machine learning, this book is designed for those looking to enhance their skills in NLP, providing a comprehensive introduction to fundamental concepts, tools, and applications. Prior experience with R and basic ML concepts is recommended.

What you will learn

  • Install and configure R and RStudio
  • Work with vectors, matrices, and data frames in R
  • Implement text normalization and tokenization
  • Apply word embeddings and vectorization techniques
  • Utilize popular NLP libraries in R
  • Develop advanced models like BERT and GPT

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 07, 2024
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643340
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
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Product Details

Publication date : Aug 07, 2024
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781836643340
Category :

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Table of Contents

8 Chapters
Chapter 1: Introduction to R Chevron down icon Chevron up icon
Chapter 2: Loops, Conditional Logic, and Dataframes Chevron down icon Chevron up icon
Chapter 3: Working with Functions in R Chevron down icon Chevron up icon
Chapter 4: NLP Concepts (I) Chevron down icon Chevron up icon
Chapter 5: NLP Concepts (II) Chevron down icon Chevron up icon
Chapter 6: NLP in R Chevron down icon Chevron up icon
Chapter 7: Transformer, BERT, and GPT Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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