Fundamentals of Predictive Text Mining

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This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics. Serving also as a practical guide, this unique book provides he...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Weiss, Sholom M. (Autor), Indurkhya, Nitin (Autor), Zhang, Tong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2015.
Edición:2nd ed. 2015.
Colección:Texts in Computer Science,
Temas:
Data mining.
Natural language processing (Computer science).
Information technology > Management.
Information storage and retrieval systems.
Database management.
Data Mining and Knowledge Discovery.
Natural Language Processing (NLP).
Computer Application in Administrative Data Processing.
Information Storage and Retrieval.
Database Management.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview of Text Mining
  • From Textual Information to Numerical Vectors
  • Using Text for Prediction
  • Information Retrieval and Text Mining
  • Finding Structure in a Document Collection
  • Looking for Information in Documents
  • Data Sources for Prediction: Databases, Hybrid Data and the Web
  • Case Studies
  • Emerging Directions.

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