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CYBERBULLYING DETECTION BY NLP     

Harshada S. Kamble , Shubhangi M. Vitalkar

Harshada S. Kamble MCA & Trinity Academy Of Engineering , Pune

Shubhangi M. Vitalkar MCA & Trinity Academy Of Engineering , Pune

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Abstract - Cyberbullying has become a growing concern with the rise of social media and online communication platforms. Manual moderation techniques are inadequate to handle the volume and complexity of abusive content. This study presents a cyberbullying detection model using Natural Language Processing (NLP) techniques. The system analyzes user-generated text to identify bullying behavior using pre-trained transformers and machine learning algorithms. Evaluation on benchmark datasets demonstrates high accuracy and low false positives. The research highlights the potential for real-time deployment and integration into social platforms to enhance digital safety.

Key Words:  cyberbullying, NLP, machine learning, BERT, social media, content moderation.