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Adjutant: an R-based tool to support topic discovery for systematic and literature reviews
Anamaria Crisan1, Tamara Munzner1, Jennifer L Gardy2,3
1Department of Computer Science, University of British Columbia, Vancouver, BC, Canada.
Summary:
Adjutant is an open-source, interactive and R-based application to support mining PubMed for literature reviews. 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. Following clustering, 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.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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