CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

• URL: http://arxiv.org/abs/2011.14618v1
• Date: Mon, 30 Nov 2020 08:42:13 GMT
• Title: CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
• Authors: Heer Ambavi (1), Kavita Vaishnaw (1), Udit Vyas (1), Abhisht Tiwari (1) and Mayank Singh (1) ((1) Indian Institute of Technology Gandhinagar)
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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