Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Many books and courses tackle natural language processing (NLP)problems with toy use cases and well-defined datasets. But if youwant to build, iterate, and scale NLP systems in a business settingand tailor them for particular industry verticals, this is yourguide. Software engineers and data scientists will learn how tonavigate the maze of options available at each step of thejourney.Through the course of the book, authors Sowmya Vajjala,Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide youthrough the process of building real-world NLP solutions embeddedin larger product setups. You'll learn how to adapt your solutionsfor different industry verticals such as healthcare, social media,and retail.With this book, you'll:Understand the wide spectrum of problem statements, tasks, andsolution approaches within NLPImplement and evaluate different NLP applications using machinelearning and deep learning methodsFine-tune your NLP solution based on your business problem andindustry verticalEvaluate various algorithms and approaches for NLP producttasks, datasets, and stagesProduce software solutions following best practices aroundrelease, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap forNLP from a business and product leader's perspective