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Practical Natural Language Processing

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About

Practical Natural Language Processing is a comprehensive guide for building, iterating, and scaling NLP systems, and tailoring them for various industry verticals. It helps navigate the maze of approaches, from rule-based systems to deep learning, as data accumulates. Readers will learn to adapt solutions for sectors like healthcare and social media, analyzing health records, detecting fake news, and extracting e-commerce attributes. The book teaches how to implement and evaluate NLP applications using machine learning and deep learning, fine-tune solutions for business problems, and evaluate algorithms for product tasks. It also covers best practices for release, deployment, and DevOps for NLP systems, and offers insights for business and product leaders.

Platform
Web
Task
nlp system building

Features

adapt solutions for different industry verticals like healthcare, social media, and retail

learn to build, iterate and scale nlp systems

understand best practices, opportunities, and the roadmap for nlp from a business and product leader's perspective

produce software solutions following best practices around release, deployment, and devops for nlp systems

evaluate various algorithms and approaches for nlp product tasks, datasets, and stages

fine-tune nlp solutions based on business problems and industry verticals

implement and evaluate nlp applications using machine learning and deep learning methods

understand wide spectrum of nlp problem statements, tasks, and solution approaches

FAQs

Can print buyers view the color version?

We have worked with O'Reilly Media to release higher-quality color versions of all images, available in our repository and downloadable from practical-nlp-figures.

Where can we view and submit errata for the book?

The errata of the book is accessible on the O'Reilly website, and you can submit any requests for technical or grammatical changes there as well.

Does this book have an accompanying code repository?

Yes, the accompanying code for the book is publicly available in a repository, which is constantly evolving and being updated with additional information beyond what the book covers.

Pricing Plans

Book Purchase
null-1.00 / one-time

Access to comprehensive NLP guide

Includes accompanying code repository

Practical advice for building and scaling NLP systems

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