Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems
30 Jun. 2020
By 作者:Anuj Gupta (Author), Bohisattwa Majumber (Author)
pages 页数: 325 pages
Publisher Finelybook 出版社: O'Reilly Media, Inc. (30 Jun. 2020)
Language 语言: English
The Book Description robot was collected from Amazon and arranged by Finelybook
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