Reconhecimento de mensagens com teor transfóbico no twitter.

Abstract

With the development of technology, there was an expansion in the use of social networks, thus facilitating communication between individuals. However, some use this freedom as a tool to disseminate hate speech to social minorities, in some cases constituting the crime of transphobia. As most of these networks do not go through social filters, this kind of criminal activity does not receive reports and goes unpunished. In this context, the objective of this work is to use machine learning strategies to identify transphobic messages on Twitter.