In this study, we conduct a comparative analysis of the performance of various machine learning and natural language processing models to detect offensive content on social media platforms. In our analysis, language category, social media platform from which they got the dataset, methodology, models used, and finally identified the outperformed model and benefits of the research were tabulated. Finally, the best model was identified among the analyzed models.

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