Natural Language Processing to explore Covid-19 literature

By Julie Vranken on 15 April 2020

Due to the rapid acceleration in new coronavirus literature, it becomes difficult for the medical research community to keep up. There is a growing urgency for innovative approaches, like recent advances in Natural Language Processing, to understand and analyze the abundance of medical/scientific articles.

At AE, we created a powerful Natural Language Processing engine that allows us to perform recent text and data mining techniques (which, by the way, also forms the foundation of our AI Powered Customer Care Agent, ADORE). With both the expertise and motivation in place to help researchers find answers that will ultimately help them stop the virus, we composed a team of data scientists to start working on the Kaggle COVID-19 Open Research Dataset Challenge.

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Hackathon 2018: Team MINT

By Laura van Duijvenbode on 10 September 2018

The AE Hackathon gives customers and prospects 36 hours to come up with an innovative idea and a minimum viable product. The fifth edition of the Hackathon took place in June 2018. In this series, you will meet all the participants.

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How to create good data visualizations to make correct data-driven decisions

By Brecht De Rooms on 08 December 2016

In a  big data world, data-driven decisions and Internet of Things, Analytics is often needed to acquire data insights. However, when data scientists forget to use visualizations to communicate or explore information they are missing out on a valuable tool.

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