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Public Safety Perception in Ecuador: An Approach from Social Networks over Data Analytics

Abstract:

In Ecuador, insecurity and crime address a space that generates a lot of commotion in social networks. The data provided by the governments of the nations is not contrasted with what happens in public opinion. Today, information is very sensitive thanks to the use of social networks, where it is sought through a data analytics tool to measure the perception of insecurity of citizens. Based on the metadata offered by the Twitter API, we collect this information through an algorithm based on natural language processing (NLP) using Python, we generate a statistical report to understand the context of citizen perception. The results show that there is a high correlation of security factors such as theft, corruption, crime at the regional and territorial level, affecting the cultural, political and economic development of cities and countries.