Keywords: topic modeling, medical research literature, human-in-the-loop
TL;DR: We present work in progress on constructing a curated topic model for COVID-19 research literature
Abstract: Topic models can facilitate search, navigation, and knowledge discovery in large document collections. However, automatic generation of topic models can produce results that fail to meet the needs of users. We describe an effort in progress to develop a curated topic model for COVID-19 articles informed by subject matter expertise and the way medical re- searchers engage with medical literature.
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