Topic Detection and Tracking
GPTKB entity
Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Natural language processing task
|
| gptkbp:abbreviation |
gptkb:TDT
|
| gptkbp:challenge |
scalability
real-time processing multilingual data story overlap topic drift |
| gptkbp:focusesOn |
automatic identification of topics in text streams
|
| gptkbp:hasApplication |
trend analysis
media monitoring alerting systems |
| gptkbp:hasEvaluation |
TDT evaluation conferences
|
| gptkbp:hasSubtask |
topic detection
first story detection story link detection story segmentation topic tracking |
| https://www.w3.org/2000/01/rdf-schema#label |
Topic Detection and Tracking
|
| gptkbp:includes |
topic detection
topic tracking |
| gptkbp:includesMetric |
precision
F1 score recall false alarm rate miss probability |
| gptkbp:memiliki_tugas |
detecting new topics
segmenting text streams into stories tracking existing topics |
| gptkbp:originatedIn |
gptkb:DARPA
late 1990s |
| gptkbp:referencedIn |
gptkb:James_Allan
TDT research papers Wayne Byrne |
| gptkbp:relatedTo |
gptkb:dictionary
gptkb:machine_learning clustering text mining information filtering |
| gptkbp:trainer |
TDT corpora
|
| gptkbp:usedIn |
information retrieval
news analysis event detection |
| gptkbp:uses |
neural networks
probabilistic models clustering algorithms vector space models similarity measures |
| gptkbp:bfsParent |
gptkb:TDT
|
| gptkbp:bfsLayer |
7
|