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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Detalles Bibliográficos
Autor Principal: Thomas, Alex (Data scientist) (Author)
Formato: Libro
Idioma:English
Publicado: Sebastopol, CA : O'Reilly Media, c2020.
Edición:First edition.
Subjects:
Classic Catalogue: View this record in Classic Catalogue
Descripción
Summary: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.--
descrición da copia:Includes index.
Descrición Física:xv, 347 pages : illustrations ; 24 cm.
ISBN:9789385889172