Comments (1)
Hi Nicolas,
There are 2 advance features that can potentially help you in your use case
- Custom Pre-Processing function - When you create an
Element
you can add.setPreProcessingFunction()
which takes in a java function and have custom logic defined there. example code - Custom Tokenizer function - On the same lines, you can also define how you want your data to be tokenized. For that there is a
.setTokenizerFunction()
in theElement
example code
With this, your data is both preprocessed and tokenized into values that you want to match. The default matching algorithm will calculate score on (tokens matched / number of tokens).
(NB: The matching algorithm for numerical and date types calculate score on how close the values are numerically. So if you don't need that and are matching exact digits in a number, just use the TEXT
type to define the Element
)
Hope this help
Thanks
from fuzzy-matcher.
Related Issues (20)
- Support for distinct groups of similar strings HOT 2
- Any way to add name dictionary for normalization characters HOT 4
- Nicknames / different name spellings HOT 6
- Full name matching HOT 2
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- Matching On Single Word
- Matching two strings HOT 4
- comparing two string with different dimension HOT 2
- Language Supported HOT 1
- Fuzzy matching issue : only fetching the exact match HOT 9
- Upgrade to Java 11 HOT 5
- Combine Tokenizers for better results HOT 2
- Phone number assumed to be a US number HOT 3
- Help HOT 1
- Kotlin not support HOT 2
- Name List matcher HOT 2
- SLF4J Failed to load HOT 3
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