Home⇛WVSU Research Journal⇛vol. 14 no. 2 (2025)

Sentiment Analysis for Local Tourism: A Crowdsourcing-Based Mobile Application

Jhon Anthony R. Eleccion | Sigen Marc C. Miranda | Luke S. Gareza | Rhean T. Magbanua | Iviegel G. Cadiz

Discipline: Artificial Intelligence

 

Abstract:

Tourism is a cornerstone of Iloilo City's economic and cultural development. This study presents a mobile application that enhances tourist navigation and engagement through GPS-enabled mapping and crowdsourced feedback. The app features a check-in system that captures real-time user feedback, analyzed via sentiment analysis to assess satisfaction. Current data collection by the Iloilo City Tourism Office relies heavily on manual, paper-based methods, leading to delays and limited direct tourist insights. The application aims to streamline data gathering, reducing staff workload and improving the timeliness of tourism reports. Preliminary ISO 25010 evaluations showed strong functionality, usability, and compatibility. Designed for local and international tourists, the app offers a scalable, participatory tool to improve visitor experience and support destination management. Future work will address maintainability and security, contributing to Iloilo’s goal of becoming a smart city.



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