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Natural Language Understanding with Python

Natural Language Understanding with Python

By : Deborah A. Dahl
4.8 (12)
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Natural Language Understanding with Python

Natural Language Understanding with Python

4.8 (12)
By: Deborah A. Dahl

Overview of this book

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. 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.
Table of Contents (21 chapters)
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1
Part 1: Getting Started with Natural Language Understanding Technology
4
Part 2:Developing and Testing Natural Language Understanding Systems
16
Part 3: Systems in Action – Applying Natural Language Understanding at Scale

Summary

In this chapter, we have summarized the previous chapters in the book, reviewed some areas where NLU technology still faces challenges, and talked about some directions where it could improve in the future. NLU is an extremely dynamic and fast-moving field, and it will clearly continue to develop in many exciting directions. With this book, you have received foundational information about NLU that will enable you to decide not only how to build NLU systems for your current applications but also to take advantage of technological advances as NLU continues to evolve. I hope you will be able to build on the information in this book to create innovative and useful applications that use NLU to solve future practical as well as scientific problems.

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Natural Language Understanding with Python
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