Aspect-based Sentiment Analysis for Improving Attractiveness in Shrinking Areas

In this paper we present the motivations, the methodology and the data used to develop a platform aimed at improving the information about peripheral and shrinking areas in order to foster their attractiveness. As case study, we select the internal area of the Ufita Valley in Irpinia (Campania, Italy). The platform shows through maps and statistics the insights on the cultural attractions in the area of interest on the basis of an aspect-based sentiment analysis model trained on the Google
reviews. The platform, addressed to local administrations, is intended as a tool for obtaining an overview of public sentiment towards cultural sites, understanding strengths and weaknesses, as well as for supporting governance and intervention policies for these sites.