Oswald Campesato

Natural Language Processing using R Pocket Primer (eBook, ePUB)

Learn Essential NLP Techniques and Tools for Developers
Redaktion: Information, Mercury Learning and

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 266
• Erscheinungstermin: 7. August 2024
• Englisch
• ISBN-13: 9781836643340
• Artikelnr.: 71453814

Autorenporträt

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. 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).

Inhaltsangabe

1: Introduction to R

2: Conditionals, Loops, and Data Frames

3: Working with Functions in R

4. NLP Concepts (I)

5. NLP Concepts (II)

6: NLP and R

7: Transformer, BERT, and GPT

Appendices

Index