You're reading from Natural Language Understanding with Python

Product type Book

Published in Jun 2023

Publisher Packt

ISBN-13 9781804613429

Pages 326 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Deborah A. Dahl

Table of Contents (21) Chapters

Preface

Part 1: Getting Started with Natural Language Understanding Technology

Chapter 1: Natural Language Understanding, Related Technologies, and Natural Language Applications

Chapter 2: Identifying Practical Natural Language Understanding Problems

Part 2:Developing and Testing Natural Language Understanding Systems

Chapter 3: Approaches to Natural Language Understanding – Rule-Based Systems, Machine Learning, and Deep Learning

Chapter 4: Selecting Libraries and Tools for Natural Language Understanding

Chapter 5: Natural Language Data – Finding and Preparing Data

Chapter 6: Exploring and Visualizing Data

Chapter 7: Selecting Approaches and Representing Data

Chapter 8: Rule-Based Techniques

Chapter 9: Machine Learning Part 1 – Statistical Machine Learning

Chapter 10: Machine Learning Part 2 – Neural Networks and Deep Learning Techniques

Chapter 11: Machine Learning Part 3 – Transformers and Large Language Models

Chapter 12: Applying Unsupervised Learning Approaches

Chapter 13: How Well Does It Work? – Evaluation

Part 3: Systems in Action – Applying Natural Language Understanding at Scale

Chapter 14: What to Do If the System Isn’t Working

Chapter 15: Summary and Looking to the Future

Index

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