Browser (animated GIF, click to play)
Subtopics of Epidemiology topic
Graph presenting the papers in the Origin of the epidemic subtopic of the Epidemiology topic
Papers in the graph (first version)
Climate-related papers (second version of the visualisation)
NLP topics visualisation using pyLDAvis (some are overlapping, there is room for improvement).
Make it easier to find scientific information about covid-19 from a reliable source. This project aims to provide a visual way to browse through the papers related to the different coronaviruses.
What it does
In addition to our browser which helps you find scientifc papers, we use state-of-the-art methods in NLP to find papers which are related.
We also used NLP tools to classify each paper with a topic and a subtopic, and we then built a network of the papers in each subtopic. These networks helps the user to quickly get a visual idea of the existing papers in a field of research, and to see how close they are.
On top of that, we want to have a search engine that will allow researchers to see about which topic and subtopic the queried papers are, and where they are located withing the network of papers of the subtopic.
Our search engine is not completely linked to our visualization tool yet, but that will come soon.
Disclaimer: some of the work was already done before the start of the Lauzhack hackathon (this project started a week before for the CodeVsCovid19 hackathon).
How it was built