Out of curiosity, how long would a simple replace() take on your document set? Regular expressions are a good tool to use when you need to do complex matches, but are pretty inefficient when you're doing a simple text replacement.
str.replace() is likely to be far more efficient than re.sub() when you're just doing simple string matching and not really using any of the power of regular expressions.
I had 10K+ terms. It simply didn't make sense to do 20K replace calls. Plus I need word boundaries to be honoured, So the only choice for me was some re library. Hope that answers your question.
PS: each str.replace() will go over the entire document/string. so 20K * no of docs (will be too much complexity. + it won't take word boundaries into consideration.
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Out of curiosity, how long would a simple replace() take on your document set? Regular expressions are a good tool to use when you need to do complex matches, but are pretty inefficient when you're doing a simple text replacement.
str.replace()is likely to be far more efficient thanre.sub()when you're just doing simple string matching and not really using any of the power of regular expressions.To be clear, it's still likely to be a good bit slower than FlashText, but I'm just curious what the difference is.
Hey Vinay,
I had 10K+ terms. It simply didn't make sense to do 20K replace calls. Plus I need word boundaries to be honoured, So the only choice for me was some re library. Hope that answers your question.
PS: each
str.replace()will go over the entire document/string. so 20K * no of docs (will be too much complexity. + it won't take word boundaries into consideration.