Many books and courses tackle natural language processing (NLP) problems
with toy use cases and well-defined datasets. But if you want to build,
iterate, and scale NLP systems in a business setting and tailor them for
particular industry verticals, this is your guide. Software engineers
and data scientists will learn how to navigate the maze of options
available at each step of the journey.
Through the course of the book, authors Sowmya Vajjala, Bodhisattwa
Majumder, Anuj Gupta, and Harshit Surana will guide you through the
process of building real-world NLP solutions embedded in larger product
setups. You'll learn how to adapt your solutions for different industry
verticals such as healthcare, social media, and retail.
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
