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There's a list here: http://ntz-develop.blogspot.co.uk/2011/03/fuzzy-string-search.html
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- Train w2v on raw/clean data
- Train doc2v on raw/clean data
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Now that the package is getting more mature, it would be nice to add support for other distance metrics (specifically, hamming and cosine distances). These should be relatively easy to implement follo…
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## 目标
* 用go实现字符串相似度lib
* 处理中文准确度较高(目前很多老外写的库处理中文效果不佳)
* 集成多种相似度算法(编辑距离,汉明编码,骰子系数)
## 莱文斯坦-编辑距离(Levenshtein)
* https://zhuanlan.zhihu.com/p/91667128
* https://www.jianshu.com/p/a617d20162cf
(以…
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### Description
Could you please add searching using Jaro–Winkler similarity algorithm feature in next releases or provide a plugin that implements the mentioned functionality.
Thank you
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How does vector embedding perform compared to fuzzy string matching?
I’m exploring the usage of string matching like levenshtein distance, Jaro-Winkler among others.
Vector embedding seems similar i…
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This is a placeholder for notes on a daemon that can run against the omni install periodically, checking that deployed files have not been tampered with.
First off I like the hash checking each file…
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Fuzzy matching is too general, cannot match query for hand by mistake
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I am using jaro wrinkler similarity to check similarities between names. In one of the use case, i found this issue.
s1 = "SOME NAME" - s2 = "" -> similarity = 1
Why is the output "1". shouldn't "1"…
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I found this excellent gem! 💎
It seems like there are a few ruby gems for string matching:
- https://github.com/kiyoka/fuzzy-string-match
- https://github.com/flori/amatch
- https://github.c…