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Open-Source Data Science Projects at eLife
Daniel Ecer

Last modified: 2019-11-02


eLife’s mission to accelerate discovery by operating a platform for research communication that encourages responsible behaviours in science has been aided by four recent AI projects. This experience report details the team’s journey in using natural language processing, computer vision and similarity algorithms to find more diverse peer reviewers, apply semantics to archive content, automate the submission process, find insights into sentiment of scholarly content and explore the taxonomy of peer reviews. You will hear about some of the open-source tools that we developed and/or used, as well as the lessons learned and where to go next.


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