Abstract: The use of online entertainment has increased significantly with time thanks to the growth of the Internet and has now overtaken all other form of organising in the twenty-first century as the most significant. In spite of this, the increased The impacts of social accessibility are typically unpleasant. such as online abuse, acts of cyberbullying, cybercrime, and web-based savaging, which combine two or three terrible aspects of society. Particularly among women and children, cyberbullying regularly results in real emotional and physical pain and may even drive some victims to make suicide attempts. Due to its profoundly harmful social effects, online badgering stands out. Online badgering has recently led to numerous occurrences, such as the dissemination of sexual remarks, rumours, and private conversations. Because of this, analysts are paying increasingly more attention to the detection of harassing texts or messages from web-based entertainment. The goal of this work is to combine artificial intelligence and natural language processing to create and use a viable system for identifying harassing and damaging online messages. The goal of this work is to combine artificial intelligence and natural language processing to create and apply a viable approach for recognising offensive and harassing internet comments.
File Terms: Cyberbullying, Natural Language Processing, Machine Learning, and SocialMedia
| DOI: 10.17148/IJARCCE.2022.11826