Skip to content
Back to formatted view

Raw Message

Message-ID: <26503346.post@talk.nabble.com>
Date: 2009-11-24T21:11:47Z
From: j daniel
Subject: merge on non-identical names

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.