Publication | Closed Access
Unsupervised and supervised clustering for topic tracking
81
Citations
21
References
2001
Year
Unknown Venue
Natural Language ProcessingDocument ClusteringEngineeringInformation RetrievalData ScienceData MiningVector Space ModelTopic ModelTopic TrackingKnowledge DiscoveryDocument ClassificationContent ProcessingTopic DetectionContent AnalysisUnsupervised Machine LearningText MiningTopic Tracking System
We investigate important differences between two styles of document clustering in the context of Topic Detection and Tracking. Converting a Topic Detection system into a Topic Tracking system exposes fundamental differences between these two tasks that are important to consider in both the design and the evaluation of TDT systems. We also identify features that can be used in systems for both tasks.
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