• Samuel Selva Kumar
• Sakshi Samir Thasale
• Ramesh Paramasivam Thevar
• Pratham Umashankar Suwasia
• Rizwana Shaikh

Cyberspace harassment is commonly characterized as the use of social media and the internet for the purpose of sending, receiving, and publishing derogatory, harmful, or misleading information about other people. These days, cyberbullying is pervasive, untraceable, and may harm any individual, business, nation, or community. Some words uttered by one group in another community appear to be the cause of the current attacks on the internet platform. It is crucial to ascertain this: NLP (Natural Language Processing) is an emerging discipline that will be used to assess cyberbullying on Twitter using machine learning techniques (such Naive Bayes, Random Forest, and SVM) and writing for information that hates or harms society. To uncover the consequences of image-based harassment, which individuals can review in the virtual machine, we will utilize OCR to accomplish image recognition. By comparing data with signatures, machine learning and natural language processing are able to detect cyberbullying and identify the identities of discussions that involve cyberbullying. Learning-based analysis often uses classification techniques such as SVM and Naive Bayes to create predictive models to detect cyberbullying. In order to enhance its accuracy and adjust to evolving online communication patterns, the model dynamically changes by continuously absorbing new data. Simultaneously, the prevention approach concentrates on proactive steps to stop bullying, including cyberbullying. Utilizing data from identified patterns, the system applies targeted interventions—like user assistance, content filters, and automated alerts—to lower the number of cyberbullying episodes and promote good behavior by fostering a secure online environment.

Machine Learning, Cyberbullying, Hate speech detection, Social Media, Twitter

"Cyber Bullying Detection and Prevention", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.e1-e5, June-2024, Available :http://www.jetir.org/papers/JETIR2406401.pdf

"Cyber Bullying Detection and Prevention", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppe1-e5, June-2024, Available at : http://www.jetir.org/papers/JETIR2406401.pdf