Natural Language Processing with Spark Nlp : Learning to Understand Text at Scale
Language: English
Published by O'reilly Media Aug 2020, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
Neuware - If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build 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 using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.In four sections, you'll learn NLP basics and building blocks before diving into application and system building:- Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning- Building blocks: Learn techniques for building NLP applicationsincluding tokenization, sentence segmentation, and named-entity recognitionand discover how and why 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. …
Seller Inventory # 9781492047766
- Title
- Natural Language Processing with Spark Nlp : Learning to Understand Text at Scale
- Author
- Alex Thomas
- Publisher
- O'reilly Media Aug 2020
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1492047767
- ISBN 13
- 9781492047766
- Item weight
- 581 grams
- Dimensions
- 233x178x19 mm
If you want to build an enterprise-quality application that uses natural language text but aren't sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build 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 using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developing text-based applications, such as performance.
In four sections, you'll learn NLP basics and building blocks before diving into application and system building:
- Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning
- Building blocks: Learn techniques for building NLP applications-including tokenization, sentence segmentation, and named-entity recognition-and discover how and why 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
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