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Using unsupervised information to improve semi-supervised tweet sentiment classification.

, , , and . Inf. Sci., (2016)

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A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm., , and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 453-461. IOS Press, (2002)On the influence of imputation in classification: practical issues., , , and . J. Exp. Theor. Artif. Intell., 21 (1): 43-58 (2009)A Bayesian imputation method for a clustering genetic algorithm., , and . J. Comput. Methods Sci. Eng., 11 (4): 173-183 (2011)A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm., , and . Appl. Artif. Intell., 17 (5-6): 489-506 (2003)Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach., , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 513-525. Springer, (2004)Representation and automatic learning of temporal relations between time periods with uncertain boundaries., , , and . ISDA, page 443-448. IEEE, (2012)Discovering relations between noun categories, , and . Proceedings of the Conference on Empirical Methods in Natural Language Processing, page 1447--1455. Association for Computational Linguistics, (2011)BayesRule: A Markov-Blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers., , , and . Int. J. Hybrid Intell. Syst., 5 (2): 83-96 (2008)VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers., and . HIS, page 56. IEEE Computer Society, (2006)Crowd-Powered Systems to Diminish the Effects of Semantic Drift., and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 697-709. Springer, (2019)