Adjutant: an R-based tool to support topic discovery for systematic and literature reviews

Adjutant is an open-source, interactive, and R-based application to support mining PubMed for a systematic or a literature review. Given a PubMed-compatible search query, Adjutant downloads the relevant articles and allows the user to perform an unsupervised clustering analysis to identify data-driven topic clusters. Users can also sample documents using different strategies to obtain a more manageable dataset for further analysis. Adjutant makes explicit trade-offs between speed and accuracy, which are modifiable by the user, such that a complete analysis of several thousand documents can take a few minutes. All analytic datasets generated by Adjutant are saved, allowing users to easily conduct other downstream analyses that Adjutant does not explicitly support. Availability and Implementation: Adjutant is implemented in R, using Shiny, and is available at https://github.com/amcrisan/Adjutant