BM25 stands for Best Matching 25. It is widely using for ranking documents and a preferred method than TF*IDF scores. It is used to find the similar documents from a corpus, given a new document. It is popularly used in information retrieval systems. This implementation is based on c++ functions hence quite optimised as well.
bm_25(document, corpus, top_n)a string for which to find similar documents
a vector of strings against which document is to be matched
top n similar documents to find
a vector containing similar documents and their scores
docs <- c("chimpanzees are found in jungle",
"chimps are jungle animals",
"Mercedes automobiles are best",
"merc is made in germany",
"chimps are intelligent animals")
sentence <- "automobiles are"
s <- bm_25(document=sentence, corpus=docs, top_n=2)