You need to define what you mean by "similarity".

At first glance words 1, 2. and 4 are 'similar' since they each have the same number of sub-components. A second glance reveals that words 1, 2, and 3 are 'similar' - they each contain '101'. And words 2 and 4 are 'similar', they are the only words that contain 148 and 131.

I suspect that once you have defined your terms, you will be able to write a function that takes two words and returns the degree of 'similarity' between them. Once you have all of the pair-wise ratings computed, sort() will let you rank the papers from most alike to least.

This sounds like the kind of problem a plagiarism detector is designed for.

----
I Go Back to Sleep, Now.

OGB

In reply to Re: word similarity measure by Old_Gray_Bear
in thread word similarity measure by karey3341

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