Deep text : using text analytics to conquer information overload, get real value from social media, and add big(ger) text to big data /

"Deep text is an approach to text analytics that adds depth to our ability to utilize a growing mass of unstructured text the world is drowning in. Here, author Tom Reamy explains what deep text is and surveys its many uses and benefits. He describes applications and development best practices,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Reamy, Tom (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Medford, NJ : Information Today, Inc., 2016.
Temas:
Data mining.
Text processing (Computer science)
Text files > Analysis.
Big data.
Social media.
Electronic data processing.
Word processing.
Word processing operations.
Exploration de données (Informatique)
Traitement de texte.
Fichiers textes > Analyse.
Données volumineuses.
Médias sociaux.
social media.
COMPUTERS > General.
Word processing operations
Word processing
Big data
Data mining
Electronic data processing
Social media
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction: Text analytics and text mining; What is text analytics?; Is deep learning the answer?; Text analytics, deep text, and context; Who am I?; Plan of the book
  • Text analytics basics
  • Getting started in text analytics
  • Text analytics development
  • Text analytics applications
  • Enterprise text analytics as a platform.

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