“HeritEdge: Diversity-Aware Interactive FrameworkforFeedbackSentiment Classification and Trend Monitoring"

Abstract

This paper presents 'HeritEdge', a diversity-aware interactive framework designed to perform real- time feedbacksentimentclassification and trend monitoring for public events. The system integrates Firebase Firestore, Cloud Functions, and MachineLearning(ML) models to deliver actionable insights for event organizers. Unlike traditional static systems, HeritEdge supports real- timesentimentclassification and contextual feedback analysis, identifying event-specific issues such as food quality, crowd management, trafficflow,and safety perception. This research contributes to bridging human–machine understanding by demonstrating howcloud-integratedMLarchitectures can enhance responsiveness, data-driven decisions, and user engagement in event management ecosystems.