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Temporally-aware algorithms for document classification., , , , , and . SIGIR, page 307-314. ACM, (2010)Exploiting contexts to deal with uncertainty in classification., , , , , and . KDD Workshop on Knowledge Discovery from Uncertain Data, page 19-22. ACM, (2009)A quantitative analysis of the temporal effects on automatic text classification, , , , , , and . Journal of the Association for Information Science & Technology, 67 (7): 1639--1667 (July 2016)On Efficient Meta-Level Features for Effective Text Classification., , , , , , , and . CIKM, page 1709-1718. ACM, (2014)Semantically-Enhanced Topic Modeling., , , , , , , , and . CIKM, page 893-902. ACM, (2018)Aggressive and effective feature selection using genetic programming., , , , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)A Feature-Oriented Sentiment Rating for Mobile App Reviews., , , , , , , and . WWW, page 1909-1918. ACM, (2018)A bias-variance analysis of state-of-the-art random forest text classifiers., , and . Adv. Data Anal. Classif., 15 (2): 379-405 (2021)Improving random forests by neighborhood projection for effective text classification., , , and . Inf. Syst., (2018)Classificação Automática de Documentos Robusta Temporalmente., , , , , and . SBBD, page 106-119. SBC, (2009)