Detecting Cyberbullying Using ML

Rajam nath

Abstract


Cyberbullying is when someone is bullied via technology. Despite the fact that this has been a concern for some time, there has lately been an upsurge in the awareness of its effects on young people. Young people who use social networking sites, such as MySpace or Facebook, are more likely to be targeted by bullies. For example, by utilizing machine learning, we can identify bullying-related linguistic patterns, which may be utilized to automatically detect cyberbullying content. We gathered the data for our study from the question-and-answer website Formspring. me, which has a high percentage of bullying content. Amazo, a web service, was utilized to label the data.

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Impact Factor : 

JCR Impact Factor: 5.9 (2020)

JCR Impact Factor: 6.1 (2021)

JCR Impact Factor: 6.7 (2022)

JCR Impact Factor: Under Evaluation (2023)

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