Activity of Brazilian Tourism Agencies in Social Media: An Analysis Using Natural Language Processing

Abstract

This paper aims to analyze the activity of two Brazilian tourism agencies in social media and the online behavior of their consumers. The research used Natural language processing resources supported by sentiment and content analysis techniques. The main results show a prevalence of positive comments on the companies' pages, and companies are more responsive to users on pages with a higher number of positive comments. There is also a tendency towards more significant company interaction with user comments that express positive emotions.