如何计算两个字符串向量之间的余弦相似度 [英] How can I calculate Cosine similarity between two strings vectors

问题描述

我有2个维数为6的向量，并且我想要一个0到1之间的数字.

I have 2 vectors of dimensions 6 and I would like to have a number between 0 and 1.

a=c("HDa","2Pb","2","BxU","BuQ","Bve")

b=c("HCK","2Pb","2","09","F","G")

任何人都可以解释我该怎么做吗?

Can anyone explain what I should do?

推荐答案

使用lsa程序包和该程序包的手册

using the lsa package and the manual for this package

# create some files
library('lsa')
td = tempfile()
dir.create(td)
write( c("HDa","2Pb","2","BxU","BuQ","Bve"), file=paste(td, "D1", sep="/"))
write( c("HCK","2Pb","2","09","F","G"), file=paste(td, "D2", sep="/"))

# read files into a document-term matrix
myMatrix = textmatrix(td, minWordLength=1)

显示mymatrix对象的状态

myMatrix
#myMatrix
#       docs
#  terms D1 D2
#    2    1  1
#    2pb  1  1
#    buq  1  0
#    bve  1  0
#    bxu  1  0
#    hda  1  0
#    09   0  1
#    f    0  1
#    g    0  1
#    hck  0  1

# Calculate cosine similarity
res <- lsa::cosine(myMatrix[,1], myMatrix[,2])
res
#0.3333

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