Violence against women is a public health problem worldwide. This crime occurs due to the conservative, sexist, hierarchical conceptions that are fed by the way society was and is educated. Modern technologies such as Data Mining are capable of deepening studies in several areas and generating knowledge for the analysis and development of solutions. The objective of this work is to use Data Mining in real testimonies of women victims of violence in Ceará, to collect data, treat them and process them to obtain strategic knowledge, showing that technology can be a great ally in Public Health and Safety Management. This research has a quantitative, bibliographical and experimental approach, as it makes use of statistical data, generated after the collections, to generate knowledge about the studied topic. Bibliographic research was also used in books, articles, theses and dissertations. Based on the results collected in the testimonies of these women, we observed that there is no balance between negative and positive words. The number of negative words is higher than the number of positive ones, 86% of negative words refer to bad feelings, problems experienced in relationships and the frequency and 14% of positive words are related to the desire to have "Freedom", where the motivation was the desire to go back to school, work and, above all, feel safe. In conclusion, the research shows that violence against women still receives little attention from public policies that involve the protection of women and there is still a lack of information on the subject, causing many women not to understand the seriousness of the situation they were subjected to, even though it is a recurring problem in our country.

Domestic violence is one of the serious problems to be faced in our society and involves efforts by the public authorities with regard to security, health and education. In Brazil, among the groups that suffer this type of violence, the main victims are women. This research aims to look at this topic from the perspective of Information, observing how this subject has been propagated in social networks and the educational aspects reflected in the awareness and fight against this type of crime. For this, this research used Data Mining techniques, KDD processes and Technology resources for data analysis, in a qualitative research methodology, through a survey on the social network of Twitter, in the periods around "Agosto Lilás", month dedicated to the debate on the subject. Using KDD and Artificial Intelligence techniques, it was possible to analyze the publications, the content of each publication, those that had the greatest impact, the sources from which they originated, the places with the highest concentration of publications, and sentiment analysis of the most used words, classifying them into positive, negative and neutral. In conclusion, it was possible to observe an increase in denunciations and visibility in the traditional media, making the subject more present in the debates, mainly in the months of August and September, although this debate has also been used in political campaigns, being associated with party groups, making the theme a political tool in the conquest of the female audience. The issue is of great relevance to society, and more than punishing, it is necessary to educate, to extinguish any and all abusive treatment of women.