Publication | Closed Access
Maximizing text-mining performance
211
Citations
13
References
1999
Year
EngineeringMachine LearningText MiningOptimization-based Data MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningDecision Tree LearningData ManagementStatisticsPooled Local DictionariesPredictive AnalyticsKnowledge DiscoveryComputer ScienceWeb MiningPrevious Decision-tree PerformanceKeyword ExtractionReuters-21578 Benchmark DataText-mining Performance
The authors' adaptive resampling approach surpasses previous decision-tree performance and validates the effectiveness of small, pooled local dictionaries. They demonstrate their approach using the Reuters-21578 benchmark data and a real-world customer E-mail routing system.
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