Conference proceeding
A relevance-based topic model for news event tracking
Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval, pp.764-765
SIGIR '09
07/19/2009
DOI: 10.1145/1571941.1572117
Abstract
Event tracking is the task of discovering temporal patterns of popular events from text streams. Existing approaches for event tracking have two limitations: scalability and inability to rule out non-relevant portions in text streams. In this study, we propose a novel approach to tackle these limitations. To demonstrate the approach, we track news events across a collection of weblogs spanning a two-month time period.
Details
- Title: Subtitle
- A relevance-based topic model for news event tracking
- Creators
- Viet Ha-ThucYelena MejovaChristopher HarrisPadmini Srinivasan
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval, pp.764-765
- Series
- SIGIR '09
- DOI
- 10.1145/1571941.1572117
- Publisher
- ACM
- Language
- English
- Date published
- 07/19/2009
- Academic Unit
- Nursing; Computer Science; Business Analytics
- Record Identifier
- 9984003179302771
Metrics
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