Natural Language Processing with Spark NLP: Learning to Understand Text at Scale

This guide provides practical insights and hands-on exercises for building enterprise-quality natural language processing (NLP) applications using deep learning and Apache Spark NLP library. It covers NLP basics, building blocks, applications, and system building, with a focus on performance and special concerns for text-based applications.

\n Format: Paperback / softback
\n Length: 366 pages
\n Publication date: 10 July 2020
\n Publisher: O'Reilly Media, Inc, USA
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If you're looking to create an enterprise-grade application that leverages natural language text but are unsure where to start or which tools to employ, this comprehensive guide is here to assist you. Alex Thomas, Principal Data Scientist at Wisecube, demonstrates to software engineers and data scientists how to develop scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for utilizing NLP on the Spark processing framework, this book equips you with everything you need to know, ranging from fundamental linguistics and writing systems to sentiment analysis and search engines. Additionally, you'll delve into specific considerations for building text-based applications, such as performance.

The guide is organized into four sections, each designed to teach you NLP basics and building blocks before delving into application and system building:

Basics: Gain a solid understanding of natural language processing, NLP on Apache Spark, and deep learning.

Building Blocks: Learn techniques for building NLP applications, including tokenization, sentence segmentation, and named-entity recognition. Discover the rationale behind these techniques and how they work.

Applications: Explore the design, development, and experimentation process for building your own NLP applications.

Building NLP Systems: Consider options for productionizing and deploying NLP models, including which human languages to support.

By following the steps outlined in this guide, you'll gain the skills and knowledge necessary to create powerful NLP applications that can transform the way you interact with data and automate complex tasks. Whether you're a software engineer, data scientist, or business professional, this guide will provide you with the foundation you need to succeed in the field of NLP.

\n Weight: 640g\n
Dimension: 179 x 234 x 23 (mm)\n
ISBN-13: 9781492047766\n \n