Natural language processing with Spark NLP : learning to understand text at Scale /

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 bui...

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Bibliografski detalji
Glavni autor: Thomas, Alex (Data scientist) (Autor)
Format: Knjiga
Jezik:English
Izdano: Sebastopol, CA : O'Reilly Media, c2020.
Izdanje:First edition.
Teme:
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Opis
Sažetak: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, pratical and theoretical explanations, and hads-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basics linguistics and writing systems to sentiment analysis and search engines. You'll also explore special concerns for developging text-based applications, such as performance.--
Opis djela:Includes index.
Opis:xv, 347 pages : illustrations ; 24 cm.
ISBN:9789385889172