Interpretability on Sentiment Analysis:

The study of the perception of security helps to understand the feeling of citizens before the risk and the magnitude of its consequences, to understand the fear of crime. Traditionally, the measurement of this type of subjective perception was carried out through surveys with low performance-effective, a small sample of the population in specific periods of time. To solve these problems, social network Twitter has been used to extract and quantify the perception of security through social networks. This quantification is done through a supervised learning classification method. To identify which of these methods is the most suitable for quantifying perception, local interpretability of the results from the models are presented