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Practical Natural Language Processing

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About

Practical Natural Language Processing is your comprehensive guide to building, iterating, and scaling NLP systems for diverse industry verticals. It helps navigate the complexities of approaches for tasks like chatbots or text classification, from basic rule-based systems to advanced deep learning, adapting to varying data availability. The book expands your expertise by teaching solution adaptation for healthcare, social media, and retail, covering analysis of health records, fake news detection, and e-commerce product attribute extraction. You will learn to implement and evaluate NLP applications using machine learning and deep learning, fine-tune solutions for business needs, evaluate algorithms, and produce software following best practices for release, deployment, and DevOps.

Platform
Web
Task
nlp system building

Features

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

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

fine-tune your nlp solution based on your business problem and industry vertical

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

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

FAQs

Can print buyers view the color version?

Yes, some color figures are not legible in black and white paperbacks. O'Reilly Media has released higher-quality color versions for each chapter in our GitHub repository and practical-nlp-figures.

Where can we view and submit errata for the book?

The errata is accessible on O'Reilly's catalog page. We thank diligent readers for pointing out overlooked issues. You can also submit technical or grammatical changes via O'Reilly's errata submission form.

Does this book have an accompanying code repository?

Yes, the accompanying code is publicly available in our GitHub repository. This repository is constantly evolving and under review, with additional information beyond what the book covers being updated.

Pricing Plans

Amazon Hardcover/Paperback
USD28.59 / one-time purchase

Physical book copy

Comprehensive NLP guide

Practical insights and examples

Endorsed by industry experts

O'Reilly Safari Online Access
USD49.00 / per month

Online read access to book

Searchable content

Access via O'Reilly Safari subscription

Updated content (if O'Reilly provides)

Kindle eBook
USD24.99 / one-time purchase

Digital eBook copy (Kindle)

Portable and searchable

Comprehensive NLP guide

Immediate digital delivery

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