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Offensive Language Recognition in Social Media
2020
Journal of Computacion y Sistemas
This article proposes an approach to solving the problem of multiclassification within the framework of aggressive language recognition in Twitter. At the stage of preprocessing external data is added to the existing dataset, which is based on information in the links in dataset. This made it possible to expand the training dataset and thereby to improve the quality of the classification. The model created is an ensemble of classical machine learning models included Logistic Regression, Support
doi:10.13053/cys-24-2-3376
fatcat:n6opxaivz5ajbcbfin3twvyuji