Greetings, I need to conduct a merge on two databases containing information on organizations, but the organization names are often non-identical and there is no common unique identifier. Does anyone know a good way to calculate a similarity measure on two names, or even better is there a natural language matching function in an R package? I did some searches on this but must not know the right keywords to search.
As an example, here are some possible non-identical names: Oxfam, Oxfam USA American Services, Americam Services - (just mis-spelled) Global Alliance for Action, Global Alliance for the Environment - (a non-match) Any suggestions are welcome! -- View this message in context: http://old.nabble.com/merge-on-non-identical-names-tp26503346p26503346.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
