User Content – Analysis and Classification (original) (raw)

2021, Journal of emerging technologies and innovative research

Abstract

Internet negativity has always been a hot topic. Moderators of online discussion forums often struggle with controlling extremist comments on their platforms. We also assess the class imbalance issues associated with the dataset by employing sampling techniques and loss. Models we applied yield high overall accuracy with relatively low cost. In order to reduce the negative impact of toxic comment in day-today life we have attempted to design a toxic comment detector.

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