Search Results for author: Stefano Padilla

Found 2 papers, 0 papers with code

Enhancing Reading Strategies by Exploring A Theme-based Approach to Literature Surveys

no code implementations10 Feb 2021 Tanya Howden, Pierre Le Bras, Thomas S. Methven, Stefano Padilla, Mike J. Chantler

Searching large digital repositories can be extremely frustrating, as common list-based formats encourage users to adopt a convenience-sampling approach that favours chance discovery and random search, over meaningful exploration.

Visualising COVID-19 Research

no code implementations13 May 2020 Pierre Le Bras, Azimeh Gharavi, David A. Robb, Ana F. Vidal, Stefano Padilla, Mike J. Chantler

In this paper, we develop a novel automated theme-based visualisation method, combining advanced data modelling of large corpora, information mapping and trend analysis, to provide a top-down and bottom-up browsing and search interface for quick discovery of topics and research resources.

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