Author(s)

FABIO GARZIA, FRANCESCO BORGHINI, ALBERTO BRUNI, MARA LOMBARDI, ILARIA ESPOSITO, SOODAMANI RAMALINGAM

Abstract

The evaluation of the perception of risk of people represents a vital element for security management. Each individual trusts other people’s opinions to do a selection and the Internet represents the place where these opinions are mostly explored, obtained, and evaluated. Opinion mining and sentiment analysis embodies valuable means. They were primarily used as market investigation means to collect opinions about products and they have later turned out to be appropriate in other areas such as safety and security. Security managers can utilize the opinions communicated by individuals to find out the unforeseen vulnerabilities of a monitored location or at least the security assessment of persons which occasionally cannot be the same of the real level of security of a given site. Opinion mining can be useful when requiring continuous feedback about risk perception and to determine when an appropriate and prompt action is required based on the perceived risk and security. Gathering the opinions to be utilized for this objective requires seeking in different open sources (OSINT (Open Source INTelligence)) and therefore processing huge amount of digital data where information and knowledge must be extracted from. The objective of this paper is to study the perception of risk in the Royal Palace of Caserta (UNESCO World Heritage Site since 1997), focusing on the emotional elements, utilizing the semantic examination of the textual contents present in Twitter.

Keywords

perceived risk assessment for security, open-source intelligent techniques for security, OSINT, opinion mining for security, sentiment analysis for security, cultural heritage security