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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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Bibliographic Details
Other Authors: Aggarwal, Charu C. (Editor), Zhai, ChengXiang (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2012, 2012
Edition:1st ed. 2012
Subjects:
Computer Communication Networks
Multimedia Systems
Database Management
Data Mining
Application Software
Computer Networks 
Data Mining And Knowledge Discovery
Computer And Information Systems Applications
Multimedia Information Systems
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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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