Abstract :

Brand reputation on social networks significantly influences customer perception and business growth. With the rapid increase in user-generated content, manual brand monitoring has become ineffective. This project proposes a CloudBased Tool for Branding Monitoring in Social Networks that automatically tracks brand mentions across multiple platforms. The system collects social media data in real time and analyses user sentiments, trends, and engagement metrics. Cloud computing enables scalable data processing and storage. Machine learning and natural language processing techniques are used to classify sentiments and identify brand-related discussions. The tool provides dashboards and alerts for brand managers. It helps detect negative feedback early and supports strategic decision-making. Automation reduces monitoring time and operational costs. The system ensures high availability and performance through cloud infrastructure. This project demonstrates how cloud-based analytics can enha