Practical Natural Language Processing by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit S

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Practical Natural Language Processing

Author : Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana

Publisher : "O'Reilly Media, Inc."

Published : 2020-06-17

ISBN-10 : 149205402X

ISBN-13 : 9781492054023

Number of Pages : 456 Pages

Language : en

Descriptions Practical Natural Language Processing

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 NLPImplement and evaluate different NLP applications using machine learning and deep learning methodsFine-tune your NLP solution based on your business problem and industry verticalEvaluate various algorithms and approaches for NLP product tasks, datasets, and stagesProduce software solutions following best practices around release, deployment, and DevOps for NLP systemsUnderstand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective

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Natural Language Processing with Python and spaCy: A Practical Introduction - An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks

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Beginner Practical Guide of Natural Language Processing(NLP) - Simply put, Natural Language Processing (NLP) is the development of applications or services that understand human language. Here are some practical examples of natural language processing (NLP

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What is Natural Language Processing? | IBM - Natural language processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. NLP combines computational linguistics—rule-based modeling of human language—with statistical, machine learning, and deep

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Top Books on Natural Language Processing - Machine Learning Mastery - This book demonstrates statistical natural language processing methods on a range of modern applications. Code examples are in R. Code focuses on the "tidy" principles by Hadley Wickham and the tidytext package by the authors. Of the three books, this is the most recently published and has a more practical and modern feel to the demonstrations

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Natural Language Processing (NLP) with Python — Tutorial - In natural language processing (NLP), the goal is to make computers understand the unstructured text and retrieve meaningful pieces of information from it. Natural language Processing (NLP) is a subfield of artificial intelligence, in which its depth involves the interactions between computers and humans

1. NLP: A Primer - Practical Natural Language Processing [Book] - Practical Natural Language Processing by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana. Chapter 1. NLP: A Primer. A language is not just words. It's a culture, a tradition, a unification of a community, a whole history that creates what a community is. It's all embodied in a language. Noam Chomsky

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Practical Natural Language Processing - Google Books - 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

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Top NLP Books to Read 2020 | Towards Data Science - Practice Books. 1. Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems. by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana (Published on June 17, 2020) Rating: ⭐⭐⭐⭐. This book outlines how you can build a real-world NLP system for your own problem

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