Natural language processing with spark NLP : learning to understand text at scale

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 build sca...

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Detalles Bibliográficos
Otros Autores: Thomas, Alex, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beijing : O'Reilly [2020]
Edición:First edition
Materias:
Spark (Electronic resource : Apache Software Foundation)
Natural language processing (Computer science)
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631095406719
Tabla de Contenidos:
  • Part 1. Basics. Getting started
  • Natural language basics
  • NLP on Apache Spark
  • Deep learning basics
  • Part 2. Building blocks. Processing words
  • Information retrieval
  • Classification and regression
  • Sequence modeling with Keras
  • Information extraction
  • Topic modeling
  • Word embeddings
  • Part 3. Applicasions. Sentiment analysis and emotion detection
  • Building knowledge bases
  • Search engine
  • Chatbot
  • Object character recognition
  • Part 4. Building NLP systems. Supporting multiple languages
  • Human labeling
  • Productionizing NLP applications.

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