02323nam a22002897a 4500 20260213102946.0 260213b |||||||| |||| 00| 0 eng d 9789385889189 AL eng 006.35 VATP Sowmya Vajjala [et.al...] 254667 Practical natural language processing Bejing Oreilly 2021 xxvii,424p PB 23.5x18cm Information Science and Engineering ZWF3-5603 ₹1915.00 ₹ ₹1915.00 27-01-2026 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. YouÃÂÂÂ[ ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, youÃÂÂÂ[ 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 leaderÃÂÂÂ[ s perspective NLP 254648 Chatbots 254649 Social Media 254650 Ecommerce and Retail 254651 Healthcare Finance and Law 254652 Majumder, Bodhisattwa 254659 Gupta, Anuj 254660 Surana, Harshit 254661 ddc BK 240893 240893 0 0 ddc 0 0 ISE SE SE 2026-01-27 amazon.in 1915.00 0 006.35 VATP SE000224 2026-02-13 10:24:43 1915.00 2026-01-27 BK