How to set the scorer like the python fuzzywuzzy? about fuzzywuzzy

[burdoto]

Honestly, B scoring as much as BlackBerry for the string Berry seems very reasonable to me.

Each Ratio and Algorithm also implements Applicable, so you should try using the Extractor class directly and passing an instance of the TokenSort algorithm, like this:

var extractor = new Extractor();
Object bestMatch = extractor.extractOne("Berry", values, new TokenSort());

[burdoto]

FuzzyWuzzy features the Ratios as standalone classes, and a set of classes for algorithms.

I think https://github.com/xdrop/fuzzywuzzy/blob/master/src/me/xdrop/fuzzywuzzy/algorithms/TokenSort.java is the one that you are looking for.

[Zaky7]

@burdoto I am in a situation where the fuzzy match is not giving me acceptable results

 val query = "Berry"
    val searchKeys = listOf("B", "ARRY", "AGEN", "Abercrombie & Fitch Company", "BlackBerry Limited")
    val result = FuzzySearch.extractTop(query, searchKeys, 5)
    result.forEach { extractedResult: ExtractedResult ->
        println(extractedResult)
    }

Output

(string: B, score: 90, index: 0)
(string: BlackBerry Limited, score: 90, index: 4)
(string: Abercrombie & Fitch Company, score: 72, index: 3)
(string: ARRY, score: 67, index: 1)
(string: AGEN, score: 22, index: 2)

I don't know why B has a score of 90. I need to dig deeper, If you have suggestions regarding this, they are welcome

Currently I am thing of tweaking the score to get results

[Zaky7]

Thanks, man :)

[Zaky7]

@burdoto can you comment on how much this library is similar to Python Fuzzywuzzy. I have a lot of scorer on fuzzy wuzzy side.

[burdoto]

As far as I know, this is an as-perfect-as-it-gets source port of the library. It even features bugs that are inside the original! 🥳
I might be wrong on this though.