Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems (English Edition)

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems (English Edition)

作者
Sowmya Vajjala、Bodhisattwa Majumder、Anuj Gupta、Harshit Surana
语言
英语
出版社
O'Reilly Media 版次:第 1st 版
出版日期
2020年6月17日
纸书页数
680页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
40657 KB
下载次数
1906
更新日期
2023-07-09
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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

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