首页|Reports Outline Machine Learning Findings from University of the Free State (Imp roving the Detection of Multilingual South African Abusive Language Via Skip-gra m Using Joint Multilevel Domain Adaptation)
Reports Outline Machine Learning Findings from University of the Free State (Imp roving the Detection of Multilingual South African Abusive Language Via Skip-gra m Using Joint Multilevel Domain Adaptation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromBloemfontein, South Africa, by News Rx journalists, research stated, “The distinctiveness and sparsity oflow-resour ce multilingual South African abusive language necessitate the development of a novel solutionto automatically detect different classes of abusive language ins tances using machine learning. Skip-gramhas been used to address sparsity in ma chine learning classification problems but is inadequate in detectingSouth Afri can abusive language due to the considerable amount of rare features and class i mbalance.”
BloemfonteinSouth AfricaAfricaCybo rgsEmerging TechnologiesMachine LearningUniversity of the Free State
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