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Re: st: Fuzzy collapse


From   Charles Vellutini <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Fuzzy collapse
Date   Thu, 26 Jan 2012 14:08:00 -0800

Steve,
You are right -soundex- seems to work reasonably well on our data (especially if we split the strings into words) even though it is inFrench. In any case, a step forward.
Thanks

Charles

Envoyé de mon iPhone

Le 26 janv. 2012 à 18:10, "Steve Nakoneshny" <[email protected]> a écrit :

> Charles,
> 
> I agree with you that -soundex- may not be appropriate given assumptions about English background, but it may still be a reasonable option to try given the similarities of the strings you provided as examples (despite being French). It may or may not work though.
> 
> Steve
> 
> On 2012-01-26, at 9:58 AM, Charles Vellutini wrote:
> 
>> Thanks Steve. I will try that -- although my impression is that the Stata implementation of -soundex- is based on English, right? Not sure about French keywords (my data in this particular case).
>> 
>> Charles
>> 
>> -----Message d'origine-----
>> De : [email protected] [mailto:[email protected]] De la part de Steve Nakoneshny
>> Envoyé : jeudi 26 janvier 2012 17:18
>> À : [email protected]
>> Objet : Re: st: Fuzzy collapse
>> 
>> Although I don't have any experience in using it, I would think that this situation may call for -soundex-, check -help string functions- for details.
>> 
>> 
>> Steve
>> 
>> On 2012-01-26, at 9:03 AM, Charles Vellutini wrote:
>> 
>>> Dear Statalisters,
>>> 
>>> I have a string variable holding thousands of search keywords, many of them identical up to a few accents or characters. Here is a typical sample:
>>> 
>>>        keyword
>>> 
>>> Obs1            télécommandes
>>> Obs2        télecommandes    
>>> Obs3        télécomandes
>>> Obs4        telecommandes
>>> Obs5        télécommande
>>> etc.
>>> 
>>> I would like to do a "fuzzy" collapse, that is, to group observations with near-identical keywords. I could write manual multiple -replace-'s to harmonize keywords, but given the size of the dataset and the variety of keywords, that is hardly feasible. I am aware of the -reclink- user-written command for fuzzy merging but that is for merging two datasets, not for collapsing observations within a dataset. It is not immediately evident to me how I could use -reclink- to solve my problem, but maybe that is feasible?
>>> 
>>> Any suggestion much appreciated.
>>> 
>>> Thanks,
>>> Charles
>>> 
>>> 
>>> 
>>> 
>>> 
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