I have a good understanding of various edit-distance algorithms in JavaScript, but my goal is to calculate text similarity as a percentage based on them. Can anyone provide guidance on how to implement this feature?
I have a good understanding of various edit-distance algorithms in JavaScript, but my goal is to calculate text similarity as a percentage based on them. Can anyone provide guidance on how to implement this feature?
Calculate the maximum distance between a string of length n
and a string of length m
. If the maximum distance is equal to n + m
, then the percentage will be:
100 - 100 * edit_distance(a, b) / (a.length + b.length)
Using Levenshtein distance with a cost of 1
for each insert, replacement, deletion results in the maximum possible distance being max(n, m)
. In this case, the percentage will be:
100 - 100 * Levenshtein(a, b) / Math.max(a.length, b.length)
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