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020 _a9789385889189
040 _cAL
041 _aeng
082 _a006.35
_bVATP
100 _aSowmya Vajjala [et.al...]
_9254667
245 _aPractical natural language processing
260 _aBejing
_bOreilly
_c2021
300 _axxvii,424p
_bPB
_c23.5x18cm
365 _2Information Science and Engineering
_aZWF3-5603
_b₹1915.00
_c
_d₹1915.00
_f27-01-2026
520 _aMany 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
650 _aNLP
_9254648
650 _aChatbots
_9254649
650 _aSocial Media
_9254650
650 _aEcommerce and Retail
_9254651
650 _aHealthcare Finance and Law
_9254652
700 _aMajumder, Bodhisattwa
_9254659
700 _aGupta, Anuj
_9254660
700 _aSurana, Harshit
_9254661
942 _2ddc
_cBK
999 _c240893
_d240893