Natural Language Understanding facilitates the organization and structuring of language allowing computer systems to effectively process textual information for various practical applications. Natural Language Understanding with Python will help you explore practical techniques for harnessing NLU to create diverse applications.
Complete with step-by-step explanations of essential concepts and practical examples, you’ll begin by learning about NLU and its applications. You’ll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you’ll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you’ll also discover practical issues such as acquiring data, evaluating systems, and deploying NLU applications along with their solutions. The book is a comprehensive guide that’ll help you explore techniques and resources that can be used for different applications in the future.
By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications.
publication date
2023-06-30
what you will learn
Explore the uses and applications of different NLP techniques
Understand practical data acquisition and system evaluation workflows
Build cutting-edge and practical NLP applications to solve problems
Master NLP development from selecting an application to deployment
Optimize NLP application maintenance after deployment
Build a strong foundation in neural networks and deep learning for NLU
key features
Master NLU concepts from basic text processing to advanced deep learning techniques * Explore practical NLU applications like chatbots, sentiment analysis, and language translation * Gain a deeper understanding of large language models like ChatGPT
approach
This guide teaches essential NLU concepts in Python with step-by-step explanations and practical examples. You will learn the key concepts of NLU and the various types of problems that it can address. By the end of the book, you'll have a solid foundation for applying this cutting-edge technology and you’ll also have the ability to build upon and explore more advanced topics in NLU.
audience
This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must.
short description
Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to apply NLU for various applications.
subtitle
Combine natural language technology, deep learning, and large language models to create human-like comprehension
keywords
Deep learning book, Deep learning with Python, Dive into Deep Learning, Discrete Mathematics, Bayesian Analysis, Naive Bayes, Machine Learning Python, LLM, Large Language Models, GPT, ChatGPT
Product ISBN
9781804613429
