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Semantically-Enhanced Topic Modeling., , , , , , , , and . CIKM, page 893-902. ACM, (2018)On Efficient Meta-Level Features for Effective Text Classification., , , , , , , and . CIKM, page 1709-1718. ACM, (2014)A quantitative analysis of the temporal effects on automatic text classification., , , , , , and . J. Assoc. Inf. Sci. Technol., 67 (7): 1639-1667 (2016)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 Feature-Oriented Sentiment Rating for Mobile App Reviews., , , , , , , and . WWW, page 1909-1918. ACM, (2018)BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification., , , and . SIGIR, page 353-362. ACM, (2015)Similarity-Based Synthetic Document Representations for Meta-Feature Generation in Text Classification., , , and . SIGIR, page 355-364. ACM, (2019)Temporal contexts: Effective text classification in evolving document collections., , , , , and . Inf. Syst., 38 (3): 388-409 (2013)Improving random forests by neighborhood projection for effective text classification., , , and . Inf. Syst., (2018)