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License: MIT License
Detects duplicate publications
License: MIT License
right now i use edit distance to check similarity between 2 strings, it run so slow i had to limit string size. are there any better algorithm?
that i have in mind:
Right now we have a manual test, which run by this in command line:
python report.py example_input.csv
Can we make them automate somehow? I mean the result is similarity percentage, and many algorithm report different percentage too. Any ideas?
Right now the script can be invoke with only one argument, the CSV file.
It'd be nice if we can invoke it and supply more arguments to tune the performance, such as
levenshtein
) -- other slower algorithm available is edit_distant
.Technical info: now the main
function doing the hard code parsing argument with sys.argv
, I think Python ArgParse
can do this job better & cleaner.
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