Practical Natural Language Processing
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About
Practical Natural Language Processing provides a guide to build, iterate, and scale NLP systems, tailoring them for various industry verticals. It helps navigate the options for building chatbots or text classification systems, adapting solutions for healthcare, social media, and retail. It guides you through building real-world NLP solutions embedded in larger product setups via a compendium of over 450 references. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP; Implement and evaluate different NLP applications using machine learning and deep learning methods; Fine-tune your NLP solution based on your business problem and industry vertical; Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages; Produce software solutions following best practices around release, deployment, and DevOps for NLP systems; Understand best practices, opportunities and the roadmap for NLP from a business and product leader’s perspective.
Platform
Task
Features
• understanding best practices, opportunities, and the roadmap for nlp from a business and product perspective.
• software solutions following best practices for release, deployment, and devops for nlp systems.
• evaluation of algorithms and approaches for nlp tasks, datasets, and stages.
• fine-tuning nlp solutions based on business problems and industry verticals.
• implementation and evaluation of nlp applications using machine learning and deep learning.
• tailoring nlp systems for various industry verticals (healthcare, social media, retail).
• guidance on building, iterating, and scaling nlp systems.
FAQs
Can print buyers view the color version?
We are aware that some of the color figures are not legible in black and white in the paperback versions. So we have worked with O'Reilly Media to release higher-quality color versions of all images. They can be viewed for each chapter in our [repository](https://github.com/practical-nlp/practical-nlp) as well as download from [practical-nlp-figures.](https://github.com/practical-nlp/practical-nlp-figures)
Where can we view and submit errata for the book?
The errata of the book is accessible [here](https://www.oreilly.com/catalog/errata.csp?isbn=0636920262329). We thank our diligent readers who pointed out these points which we overlooked in our first edition. You can also submit any requests for techical or grammatical changes [here](https://www.oreilly.com/cs/catalog/create/errata/?b=68193).
Does this book have an accompanying code repository?
The accompanying code for our book is publicly available in the [repository](https://github.com/practical-nlp/practical-nlp). This repository is constantly evolving and under-review as we are updating the code with additional information going beyond what book covers.
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