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Nowadays we live in the information era where a massive information is produced, disseminated and used daily, which can be studied and analyzed in order to obtain new information. In addition, we have the social networks, in which you can express an idea, concept, opinion or event. Twitter opinions analysis twitter comments, for examplewritten by the community has awake the interest of many researchers. Therefore, this paper is focused on classify the information about crimes that occurred in the metropolitan area of Mexico City, reported on Twitter from three types of classification algorithms. Having in mind to present the results obtained after their execution, we observed that when the correct parameters are set, then it is possible to classify and to obtain new information from a preexistent one.

Análisis del comportamiento de diferentes algoritmos de aprendizaje automático para catalogar delitos en la zona metropolitana