Use AI Models for approximate matches

paolochippaolochip Member Posts: 4 Newbie
many many times I'm struggling with joining/lookup values from different data sources that have sometimes slighlty differences hard to be coded or predicted. One of the classical example is two customer lists where the same customer can have capital vs not, commas, spaces and other differences in its name in a very random ways (e.g. CustomerA ltd vs customerA, ltd. or Customer B vs BCustomer, etc..) . I was wondering if there are existing AI models that can be used in RM that can solve this issue.




  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,505 RM Data Scientist
    last time I did this with a customer we ended up using Levenshein Distance. One may use word embeddings for it if you want to use some 'AI'.
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • paolochippaolochip Member Posts: 4 Newbie
    Hi Martin, thanks for your quick response, we will try and see

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