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Development of a tool for visual analysis of scientific articles on Coronavirus using Machine Learning with neural networks.

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SaraO3O/ScholarViz

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ScholarViz

The system created for visualizing networks was named ScholarViz, a combination of the words "Scholar", which suggests a connection with the academic world, research, or education, and the abbreviation "Visualization", indicating the visual representation of data or information.

Content

  • RedesIgraph - Filtering the database and building networks in Igraph.
  • ScholarViz - Tool for visual analysis of scientific articles on COVID-19.
  • Script - Code created to transform an Igraph-formatted graph into a JSON file in the format of a Sigma.js graph.

About the database

The dataset "COVID-19 Open Research Dataset Challenge (CORD-19)" byWang et al. (2020), is a rapidly expanding source of scientific articles on COVID-19 and other coronavirus-related research. CORD-19 comprises over 1,000,000 academic papers, with approximately 400,000 containing full-text content. The dataset is available on theKaggle platform for the global research community to generate new insights and perspectives on the subject.

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Development of a tool for visual analysis of scientific articles on Coronavirus using Machine Learning with neural networks.

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