Unmasking Cyberbullying Through NLP-Driven Detection in Contemporary Social Media
摘要
Nowadays, cyberbullying is a really risky circumstance. As a result of experiencing a lot to handle, it leads young people to commit suicide. We have developed an algorithm that, upon receiving the messages or comments as input, reads them and analyzes whether they are abusive or not. Contemporary social networking sites are so simple to use that there have been many severe incidences of cyberbullying. Social media is extremely dangerous since people who aren’t even majors use it. Cyberbullying is defined as any offense against a person’s race, gender, culture, or religion. To find bullying-related keywords in the corpus, we created an algorithm using Natural Language Processing (NLP) and machine learning techniques. These techniques together work tremendously and help us build a project based on cyberbullying detection.