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Full Version: Training a model to identify specific SMS types and extract relevant data?
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Hi all,

I have been playing around with data extraction from SMS messages and had a conundrum. I wanted to create a system that would identify payment notification / receipt SMS's from my service providers and extract the relevant data to track my payments. I had initially accomplished this with PHP using regex which helped not only with identifying the notification messages but data extraction but realized that there was a downside if the structure of the messages changed, the regex match would fail. Is it possible in python to train a model to learn to identify the notification messages and handle the data extraction? If yes, what tutorials would you recommend I get into in order to accomplish this?