Offensive Language Detection on Twitter

September 28, 2022 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Nikhil Chilwant, Syed Taqi Abbas Rizvi, Hassan Soliman arXiv ID 2209.14091 Category cs.CL: Computation & Language Cross-listed cs.LG Citations 1 Venue arXiv.org Last Checked 6 months ago
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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