Mineracao De Dados Em Depoimentos De Mulheres Vitimas De Violencia No Ceara

Abstract

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.