Teaching Computers to Read: Effective Best Practices in Building Valuable NLP Solutions

Автор: literator от 4-11-2025, 21:29, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Teaching Computers to Read: Effective Best Practices in Building Valuable NLP Solutions
Автор: Rachel Wagner-Kaiser
Издательство: CRC Press
Год: 2026
Страниц: 238
Язык: английский
Формат: pdf (true), epub
Размер: 32.2 MB

Building Natural Language Processing (NLP) solutions that deliver ongoing business value is not straightforward. This book provides clarity and guidance on how to design, develop, deploy, and maintain NLP solutions that address real-world business problems.

In this book, we discuss the main challenges and pitfalls encountered when building NLP solutions. We also outline how technical choices interact with (and are impacted by) data, tools, the business goals, and integration between human experts and the Artificial Intelligence (AI) solution. The best practices we cover here do not depend on cutting-edge modeling algorithms or the architectural flavor of the month. We provide practical advice for NLP solutions that are adaptable to the solution’s specific technical building blocks.

Through providing best practices across the lifecycle of NLP development, this handbook will help organizations – particularly technical teams – use critical thinking to understand how, when, and why to build NLP solutions, what the common challenges are, and how to address or avoid those challenges. These best practices help organizations deliver consistent value to their stakeholders and deliver on the promise of AI and NLP.

Our goal here is not to go into depth to explain specific NLP topics, tools, or technologies in technical detail – there are multitudes of excellent resources that explain the technical details of everything from sentiment analysis and topic modeling to Deep Learning and transformer models. Instead, we focus on providing guidance and best practices for designing, developing, deploying, and maintaining NLP solutions to address real-world business problems. In this book, we will discuss the main challenges and pitfalls across each of these four areas. While doing so, we will consider how those technical choices need to interact with the business value, data, tools, and collaboration/integration of human day-to-day work with the AI solution. We aim for this book to be a useful reference for individuals, teams, and organizations when designing, developing, and deploying NLP solutions. For students, we hope that the topics covered provide insight into the challenges that they will face in creating these end-to-end processes and the key factors to keep in mind to be successful in the NLP space.

Common tools for language detection include application programming interfaces (APIs) from each of the major cloud providers, or offline versions such as the Python packages langdetect, fasttext-langdetect, and langid (langdetect, GitHub; fasttext, n.d.; langid, GitHub; lingua-py, GitHub).

A code companion for the book is available here: github.com/TeachingComputersToRead/TC2R-CodeCompanion

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