Strsim
Calculate string similarity library, integrate multiple algorithms on the back end。计算字符串相似度库，后端集成多种算法[从零实现]
Install / Use
/learn @antlabs/StrsimREADME
strsim
strsim是golang实现的字符串相识度库，后端集成多种算法，主要解决现有相似度库不能很好的处理中文
构架
使用方式
go get -u github.com/antlabs/strsim
功能
- 可以忽略空白字符
- 可以大小写
多种算法支持
- 莱文斯坦-编辑距离(Levenshtein)
- Hamming
- Dice's coefficient
- Jaro
- JaroWinkler
- Cosine
- Simhash
内容
比较两个字符串相识度
strsim.Compare("中国人", "中")
// -> 0.333333
从数组里找到相似度最高的字符串
strsim.FindBestMatchOne("海刘", []string{"白日依山尽", "黄河入海流", "欲穷千里目", "更上一层楼"})
从数组里找到相似度最高的字符串-带下标
strsim.FindBestMatch("海刘", []string{"白日依山尽", "黄河入海流", "欲穷千里目", "更上一层楼"})
选择不同算法
莱文斯坦-编辑距离(Levenshtein)
strsim.Compare("abc", "ab")
// -> 0.6666666666666667
选择Dice's coefficient
strsim.Compare("abc", "ab", strsim.DiceCoefficient())
//-> 0.6666666666666666
选择jaro
strsim.Compare("abc", "ab", strsim.Jaro())
选择JaroWinkler
strsim.Compare("abc", "ab", strsim.JaroWinkler())
选择Hamming
strsim.Compare("abc", "ab", strsim.Hamming())
选择Cosine
strsim.Compare("abc", "ab", strsim.Cosine())
选择Simhash
strsim.Compare("abc", "ab", strsim.Simhash())
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