Multiclass Classification of Online Comments Based on Toxicity Scale

Our research specifies the criteria for categorizing comments and supplements the limitations of the existing services that filter out only some of the direct malicious comments centered on specific vocabulary and phrases. In comparison to prior research detecting three sentiments as positive, negative, or neutral, we subdivided expressions into six categories. Our model applying classification downstream tasks to a pre-trained KcBERT model draws results reflecting the meaning and social context of the comments. An improved accuracy compared to previous studies shows a meaningful outcome.