Social Media Analysis of Tourist Perceptions on Physicochemical Water Quality in Laguna de Tres Palos

This study proposes a novel approach to understand tourist perceptions of water quality in Laguna de Tres Palos, using social media analysis. Utilizing methodologies such as keyword frequency, word cloud generation, sentiment analysis, semantic analysis, semantic networks, topic analysis, opinion mining, influence analysis, spam detection, trend analysis, and emotion analysis, we examine public discussions and sentiments regarding the physicochemical quality of the lagoon’s water. Preliminary findings reveal diverse perceptions, which may influence tourism and local ecosystem management strategies. This analysis is part of a broader study, which involves the implementation of a real time, remote water quality monitoring network at the lagoon, highlighting the intersection of social media data, environmental monitoring, and tourism management.