9. Events and Trends in Text Streams

  1. Michael W. Berry2 and
  2. Jacob Kogan3
  1. Dave Engel,
  2. Paul Whitney and
  3. Nick Cramer

Published Online: 4 MAR 2010

DOI: 10.1002/9780470689646.ch9

Text Mining: Applications and Theory

Text Mining: Applications and Theory

How to Cite

Engel, D., Whitney, P. and Cramer, N. (2010) Events and Trends in Text Streams, in Text Mining: Applications and Theory (eds M. W. Berry and J. Kogan), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470689646.ch9

Editor Information

  1. 2

    University of Tennessee, Min H. Kao Department of Electrical, Engineering and Computer Science, Knoxville, TN, USA

  2. 3

    University of Maryland, Baltimore, County Baltimore, MD, USA

Author Information

  1. Pacific Northwest National Laboratory, Richland, WA, USA

Publication History

  1. Published Online: 4 MAR 2010
  2. Published Print: 26 MAR 2010

ISBN Information

Print ISBN: 9780470749821

Online ISBN: 9780470689646

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Keywords:

  • text stream;
  • event detection;
  • temporal profile;
  • hypothesis test;
  • chi-square statistic;
  • Gaussian statistic;
  • trend detection;
  • correlation function;
  • related terms;
  • swine flu

Summary

This chapter contains sections titled:

  • Introduction

  • Text streams

  • Feature extraction and data reduction

  • Event detection

  • Trend detection

  • Event and trend descriptions

  • Discussion

  • Summary

  • Acknowledgements

  • References