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.
翻译:全世界都在防治COVID-19大流行的斗争中被吞没,导致研究实验、政府政策和社交媒体讨论的大量增加。多模式信息获取和数据可视化平台可以发挥关键作用,支持旨在了解和制定该流行病预防措施的研究。在本文中,我们展示了一个以AI为基础的多面搜索和可视化引擎CovidExplorer。我们的系统旨在帮助研究人员了解目前最新的COVID-19研究,确定与其领域有关的研究文章,并直观地分析COVID-19案例的实时趋势和统计数据。与其他现有系统不同,CovidExplorer还带来印度特有的关于社会媒体的专题讨论,以研究COVID-19的不同方面。系统、演示视频和数据集可在http://covidExplorer.in查阅。