COVID-19 Scientific Literature Search & Text Analysis

With so much COVID-19 literature to digest, this interactive analysis lets you quickly extract relevant text and numerical data from 50,000-plus coronavirus-related documents.  

Leveraging AI and a variety of modeling approaches, this free environment combines the power of natural language processing, machine learning, linguistic rules and network analytics – all from within a user-friendly visual interface.

How can the free environment be used?

• Explore a variety of coronavirus topics, such as incubation period, genetic variations, risk assessment, epidemiology, PPE, drug treatments and social mitigation efforts.
• Search documents for key terms and numerical themes to quickly see trends visualized in word clouds.
• Access interactive text category exploration.
  
• Identify co-citations and the authoritativeness of papers using network analysis visualization.

The COVID-19 Scientific Literature Search and Text Analysis environment was developed using SAS^® Visual Analytics, SAS^® Visual Data Mining and Machine Learning, and SAS^® Visual Text Analytics on SAS^® Viya^®.