ABUSIVE CONTENT DETECTION (Using Sentimental Analysis)

Abstract: The increase in online services like medical consultancy on internet, business trades taking place in the web so on and so forth, in many means have proliferated the need for abusive content detection and its prevention because of the vast data flowing in the web. In addition to that, the multiplied cyber crimes have been concerning the communities that are looking to enlarge their business by making it accessible to a wide range of communities by moving to the global networks. Abusive content is against humanity and might lead to mental disabilities like depression and many more severe issues amongst the victims, so it is a basic need to prevent the abuse and make sure the data is secure that is provided by clients belonging to various sections of the society. This project involves detecting multiple cases of abuse in the comments, tweets, and messages. It detects positive and negative sentences.