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Natural Language Understanding with Python

Natural Language Understanding with Python

By : Deborah A. Dahl
4.8 (13)
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Natural Language Understanding with Python

Natural Language Understanding with Python

4.8 (13)
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

Exploring the libraries

In this section, we will review several of the major Python libraries that are used in NLP; specifically, NLTK, spaCy, and Keras. These are very useful libraries, and they can perform most basic NLP tasks. However, as you gain experience with NLP, you will also find additional NLP libraries that may be appropriate for specific tasks as well, and you are encouraged to explore those.

Using NLTK

NLTK (https://www.nltk.org/) is a very popular open source Python library that greatly reduces the effort involved in developing natural language applications by providing support for many frequently performed tasks. NLTK also includes many corpora (sets of ready-to-use natural language texts) that can be used for exploring NLP problems and testing algorithms.

In this section, we will go over what NLTK can do, and then discuss the NLTK installation process.

As we discussed in Chapter 3, many distinct tasks can be performed in an NLU pipeline as the processing...

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