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Trainable classifier/confusion

Copper Contributor
Hi all,
I would need help on better understanding of trainable classifiers.
So, in MS article it says: "this method of categorization is more about using a classifier to identify an item based on what the item is, not by elements that are in the item;" So, if I have a word-doc file (or item in this case), & name of that item/file is "Bank Statement", PDF file/item "Drivers license" & excel file/item named "Shipping orders", what does exactly trainable classifiers is looking for (or how will he know how to distinguish them)?
What is trainable classifier actually looking for in item & how will he know how to categorize it (meaning ? I always thought its by content, but as in sentence above, trainable classifier is not scanning the content of file. So what is "X" factor that trainable classifier is searching for/looking for during his scan & how will he know how he needs to separate those files (that those are 3 different files).
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