Python Text Fuzzy Search Tutorial | RapidFuzz FuzzyWuzzy Alternative

[@SUGATORAY]

Nice presentation. Please consider adding the mathematical expression of the distance metrics to the notebook for future presentations. Often people get comfortable using them like black boxes. Keeping the math here helps to keep it in perspective.

[@1littlecoder]

That's a good suggestion. Thank you. I recently tried to go into the math with my RAKE video. I could've done like that kzbin.info/www/bejne/kIDKo5ukZ7qkZrc

[@Michaelrobinston]

Hey, nice one brother. Thanks. But in 13.31 you say that we get two scores -- levenshtein and normalized levenshtein. But in the output the third value looks like an index position of the match in df.

[@nathanli6039]

its the pd key, written in the docs

[@1littlecoder]

Thanks Nathan

[@syedkhaleelbasha6136]

Hi, how rapid fuzz preprocessing the strings

[@karthikswaroop7494]

Sir I have task to do that i.e i have a list of strings and paragraphs which I need to break it into sentence after that I need search that list of strings into every paragraps and I need result that strings that are matching in the paragraps how can I do that sir please suggest me the way

[@1littlecoder]

Hey, Can you simply not use the normal string matching function. I mean if your string is going to be exactly there in the paragraph (which you are breaking into sentences) I don't think you'd need fuzzy matching

[@karthikswaroop7494]

No sir I need to find that because I need to know the string which are coming from my list and comparing to sentence in there I need to find out how much that string is matching that sentence

[@1littlecoder]

@@karthikswaroop7494 do you have any sample dataset?

[@karthikswaroop7494]

No sir firstly sir I have a list of strings and I have multiple paragraphs and I need to convert paragraph into sentences and I need to check what are the strings present in my sentences if I found any word from list of strings which I have in any of the sentence the i need to check the word which I found how much it's relating to that sentence

[@nathanli6039]

this was helpful thx

[@1littlecoder]

Glad it was!