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arXiv · 2209.14091

Offensive Language Detection on Twitter

Nikhil Chilwant·Syed Taqi Abbas Rizvi·Hassan Soliman
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Abstract

Detection of offensive language in social media is one of the key challenges for social media. Researchers have proposed many advanced methods to accomplish this task. In this report, we try to use the learnings from their approach and incorporate our ideas to improve upon them. We have successfully achieved an accuracy of 74% in classifying offensive tweets. We also list upcoming challenges in the abusive content detection in the social media world.

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Nikhil Chilwant, Syed Taqi Abbas Rizvi, Hassan Soliman. 2022-09-28. Offensive Language Detection on Twitter. https://arxiv.org/abs/2209.14091

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