Mining Text Data

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Aggarwal, Charu C. (Editor ), Zhai, ChengXiang (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
Database management.
Data mining.
Application software.
Computer networks .
Multimedia systems.
Database Management.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Computer Communication Networks.
Multimedia Information Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • An Introduction to Text Mining
  • Information Extraction from Text
  • A Survey of Text Summarization Techniques
  • A Survey of Text Clustering Algorithms
  • Dimensionality Reduction and Topic Modeling
  • A Survey of Text Classification Algorithms
  • Transfer Learning for Text Mining
  • Probabilistic Models for Text Mining
  • Mining Text Streams
  • Translingual Mining from Text Data
  • Text Mining in Multimedia
  • Text Analytics in Social Media
  • A Survey of Opinion Mining and Sentiment Analysis
  • Biomedical Text Mining: A Survey of Recent Progress
  • Index.

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