Social Media Data Analysis for Tourism

Abstract

In this work we apply various data analysis techniques on a social media dataset. The dataset is obtained from a popular social media dedicated to tourist attraction reviews. The main objective is to provide a service to a possible customer in the field of Italian tourism. The service could be a recommendation, competitor analysis, or something else. We have implemented three main ideas: a context-sensitive scoring system, a sentiment analysis of review texts and a clustering method for tourist attractions based on a neural network.