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» Detecting Events in a Million New York Times Articles
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PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
13 years 3 months ago
Detecting Events in a Million New York Times Articles
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...
IPM
2007
115views more  IPM 2007»
13 years 4 months ago
Use of place information for improved event tracking
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at...
Yun Jin, Sung-Hyon Myaeng, Yuchul Jung
AIRS
2005
Springer
13 years 6 months ago
Effective Use of Place Information for Event Tracking
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at ...
Yun Jin, Sung-Hyon Myaeng, Mann-Ho Lee, Hyo-Jung O...
SIGIR
2005
ACM
13 years 10 months ago
A probabilistic model for retrospective news event detection
Retrospective news event detection (RED) is defined as the discovery of previously unidentified events in historical news corpus. Although both the contents and time information...
Zhiwei Li, Bin Wang, Mingjing Li, Wei-Ying Ma
NAACL
2010
13 years 2 months ago
Streaming First Story Detection with application to Twitter
With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the probl...
Sasa Petrovic, Miles Osborne, Victor Lavrenko