Hate Speech & Offensive Language Detection Using ML &NLP

To restore peace and harmony in this cross-cultural Internet era, it is of utmost importance for every citizen to behave and spread brotherhood. Under the given circumstances of 5G evolution citizens have taken their role onto the internet very seriously thereby most of the netizens spend their time condemning, judging, and trolling other netizens, public figures for that matter. Because of the consequences in an unprejudiced society involving race, gender, or religion, the challenge of automatically detecting hate speech and objectionable language in social media material is critical. However, existing research in this field is mostly focused on several languages, which limits its relevance to certain groups. The use of harsh language on social media platforms, as well as the consequences that this has, has become a serious problem in modern culture. Automatic ways to recognize and deal with this sort of content are necessary due to the large volume of content produced every day. Machine Learning & Natural Language processing has cutting-edge algorithms and classifiers that have benefitted mankind in impossible ways. Hence, our effort in this project is to make use of this impeccable technology to create an efficient system that automatically detects hate speech and offensive language from the Twitter dataset.