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Currently, all MEDLINE documents are indexed by medical subject headings (MeSH). Computing semantic similarity between two MeSH headings as well as two documents has become very important for many biomedical text mining applications. We develop an R package, MeSHSim, which can compute nine similarity measures between MeSH nodes, by which similarity between MeSH headings as well as MEDLINE documents can be easily computed. Also, MeSHSim supports querying hierarchy information of a MeSH heading and retrieving MeSH headings of a query document, and can be easily integrated into pipelines for any biomedical text analysis tasks

MeSHSim: An R/Bioconductor package for measuring semantic similarity over MeSH headings and MEDLINE documents