孟加拉语有毒评论分类(机器学习和深度学习方法)

A.N.M. Jubaer, A. Sayem, Md. Ashikur Rahman
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引用次数: 11

摘要

有毒评论分类问题是目前比较流行的分类问题。在英语中有很多尝试,但在孟加拉语中很少。我们尝试为孟加拉语建立一个分类器。我们尝试了不同的方法来寻找精度更高的优化分类器,并对对数损失、敲打损失进行了优化。由于这是一个多层问题,我们对二元分类器使用二元相关方法。
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Bangla Toxic Comment Classification (Machine Learning and Deep Learning Approach)
Toxic comment classification problem is a popular classification problem nowadays. There are many attempts in English but it's rare in Bangla language. We tried to build a classifier for Bangla language. We tried different approach to find the optimized classifier with better accuracy and optimized for log-loss, hamming-loss. As this is a multilevel problem, we used binary relevance methods for binary classifiers.
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