Social networks have gained a lot of emphasis in the latest decades. Despite of their well known socialization and entertainment potential, they are also a powerful too for information and protests. Among them, Twitter has been a great way of mobilization by the feminist movement, being transformed into an instrument through which women can express their demands. This project aims to present an analysis of collected tweets about the fight against gender inequality. To that end, it was used Convolutional Neural Networks and their applications in natural language processing (NLP), which associated with the extracted data, allowed the development of a detailed study about them.