Perceived risk assessment through open-source intelligent techniques for opinion mining and sentiment analysis. The case study of the Papal Basilica and Sacred Convent of Saint Francis in Assisi, Italy

The assessment of the perceived risk by people is extremely important for security management. Each person relies on other people's opinion to make a choice and the Internet is where these opinions are mostly researched, found and reviewed. For this reason, opinion mining and sentiment analysis represents relevant fields of study. One of their most innovative applications is in the field of public security: in this case security managers can use people's expressed perceptions to discover unforeseen and potential weak points. Collecting the opinions to be used for this purpose involves searching through various open sources (OSINT-Open Source INTelligence) and hence dealing with copious amounts of data in digital form where information and knowledge are to be extracted from. The purpose of this paper is to illustrate a proper methodology to reach this goal and show the related results obtained, considering, as case study, the Papal Basilica and Sacred Convent of Saint Francis in Assisi, Italy.