"Text streams--collections of documents or messages that are generated and observed over time--are ubiquitous. Our research and development are targeted at developing algorithms to find and characterize changes in topic within text streams. To date, this research has demonstrated the ability to detect and describe 1) short duration, atypical events and 2) the emergence of longer-term shifts in topical content. This technology has been applied to predefined temporally ordered document collections but is also suitable for application to near-real-time textual data streams."
Revised: December 30, 2010 |
Published: March 4, 2010
Citation
Engel D.W., P.D. Whitney, and N.O. Cramer. 2010.Events and Trends in Text Streams. In Text Mining: Applications and Theory, edited by MW Berry and J Kogan. 165–182. Chichester:John Wiley & Sons, Ltd.PNNL-SA-67443.