Part I. Foundations. NLP: a primer ; NLP pipeline ; Text representation -- Part II. Essentials. Text classification ; Information extraction ; Chatbots ; Topics in brief -- Part III. Applied. Social media ; E-commerce and retail ; Healthcare, finance, and law -- Part IV. Bringing it all together. The end-to-end NLP process
Available to OhioLINK libraries
"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."--Publisher's description
The online book link https://www.amazon.com/Practical-Natural-Language-Processing-Pragmatic/dp/1492054054
9781492054023 149205402X 9781492054009 1492054003
Natural language processing (Computer science) Application software--Development Text data mining Machine learning--Application software--Development--Text data mining--Application software--Development