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This application is a real-time global hotspots monitoring tool that tracks and visualizes emerging trends across various categories such as political, economic, social, technology, environmental, and cultural. It collects data from multiple sources, including social media and news outlets, and processes this information to identify significant events and trends. Users can interact with the application through a user-friendly interface that features a global map and a dashboard. The map displays hotspots, which are points of interest marked by their geographical coordinates, trend scores, and sentiment indicators. Users can zoom in and out, pan across the map, and click on hotspots to view detailed information, including descriptions, engagement metrics, and keywords associated with each hotspot. The application is built using TypeScript and React, leveraging various libraries for UI components and state management. It employs natural language processing (NLP) techniques to analyze text data, extract keywords, and perform sentiment analysis. The data collection is simulated through a singleton pattern, ensuring that real-time updates are efficiently managed and displayed. Key features of the application include: - A global map that visualizes hotspots with interactive markers. - Real-time data collection and updates from simulated sources. - Detailed hotspot information, including trend scores, sentiment analysis, and engagement metrics. - Filtering options for users to view hotspots by category and region. - Analytics sections that provide insights into category distribution, trending keywords, and sentiment analysis. Overall, this application serves as a comprehensive tool for monitoring global trends and understanding the dynamics of public discourse across different regions and categories.