000			02052nam a2200241 4500
008			220108b ||||| |||| 00| 0 eng d
020			_a9781492054054 (pbk.)
082			_a006.35 _bVAJ
100			_aVajjala, Sowmya. _9571
245			_aPractical natural language processing : _ba comprehensive guide to building real-world NLP systems
250			_a1st ed.
260			_aBeijing _bO'Reilly Media _c2020
300			_axxvii, 424p.
520			_a"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"
650			_aComputer science _9400
650			_aMachine learning _9481
650			_aText data mining _9573
700			_aMajumder, Bodhisattwa. _9574
700			_aGupta, Anuj. _9575
700			_aSurana, Harshit _9576
942			_cBK
942			_n0
999			_c7631 _d7631