CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
This system provides a consolidated platform for researchers to access and visualize COVID-19 related information, including social media trends, which could aid in understanding the pandemic's various facets, particularly in India.
This paper introduces CovidExplorer, an AI-based search and visualization engine designed to help researchers navigate the vast amount of COVID-19 information. It integrates research articles, real-time case statistics, and India-specific social media discussions related to the pandemic.
The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and data visualization platform can play a critical role in supporting research aimed at understanding and developing preventive measures for the pandemic. In this paper, we present a multi-faceted AI-based search and visualization engine, CovidExplorer. Our system aims to help researchers understand current state-of-the-art COVID-19 research, identify research articles relevant to their domain, and visualize real-time trends and statistics of COVID-19 cases. In contrast to other existing systems, CovidExplorer also brings in India-specific topical discussions on social media to study different aspects of COVID-19. The system, demo video, and the datasets are available at http://covidexplorer.in.