Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems (Paperback)

Unleash the full potential of natural language understanding (NLU) and create impeccable systems by mastering the art of data acquisition and technology selection

Purchase of the print or Kindle book includes a free PDF eBook

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

Book Description:

Natural language understanding (NLU) organizes and structures, language allowing computer systems to effectively process textual information for many different practical applications. Natural Language Understanding with Python will help you explore practical techniques that make use of NLU to build a wide variety of creative and useful applications.

Complete with step-by-step explanations of essential concepts and practical examples, this book begins by teaching you 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 be introduced to practical issues such as acquiring data, evaluating systems, and deploying NLU applications, along with their solutions. This book is a comprehensive guide that will help you explore the full spectrum of essential NLU techniques and resources.

By the end of this book, you will be familiar with the foundational concepts of NLU, deep learning, and large language models (LLMs). You will be well on your way to having the skills to independently apply NLU technology in your own academic and practical applications.

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

Who this book is for:

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.

釋義: 這本書介紹了如何充分發揮自然語言理解（NLU）的潛力，並通過掌握數據獲取和技術選擇的藝術來創建完美的系統。購買印刷版或Kindle電子書的讀者還可以獲得免費的PDF電子書。本書的主要特點包括：掌握從基本文本處理到高級深度學習技術的NLU概念；探索實際的NLU應用，如聊天機器人、情感分析和語言翻譯；深入了解ChatGPT等大型語言模型。本書將幫助讀者探索使用NLU構建各種創意和有用應用的實用技術。書中詳細解釋了基本概念並提供實際示例，從教授NLU及其應用開始。讀者將探索各種當前NLU技術及其最適用的用例，並介紹最有用的Python NLU庫。讀者不僅將學習NLU的基礎知識，還將介紹實際問題，如數據獲取、系統評估和部署NLU應用，以及相應的解決方案。本書是一本全面的指南，將幫助讀者探索基本NLU技術和資源的全譜。通過閱讀本書，讀者將熟悉NLU、深度學習和大型語言模型（LLM）的基礎概念，並具備在自己的學術和實際應用中獨立應用NLU技術的能力。本書適合Python開發人員、計算語言學家、語言學家、數據科學家、NLP開發人員、對話AI開發人員和希望了解自然語言理解（NLU）並將自然語言處理（NLP）技術應用於實際問題的學生。對於任何對解決自然語言問題感興趣的人來說，本書都很有用。需要具備Python的工作知識。