我一直在使用R的文本挖掘程序包，它确实是一个很好的工具。我没有找到检索支持，或者可能缺少一些功能。
如何使用R的文本挖掘程序包实现简单的VSM模型？
最佳答案
# Sample R commands in support of my previous answer
require(fortunes)
require(tm)
sentences <- NULL
for (i in 1:10) sentences <- c(sentences,fortune(i)$quote)
d <- data.frame(textCol =sentences )
ds <- DataframeSource(d)
dsc<-Corpus(ds)
dtm<- DocumentTermMatrix(dsc, control = list(weighting = weightTf, stopwords = TRUE))
dictC <- Dictionary(dtm)
# The query below is created from words in fortune(1) and fortune(2)
newQry <- data.frame(textCol = "lets stand up and be counted seems to work undocumented")
newQryC <- Corpus(DataframeSource(newQry))
dtmNewQry <- DocumentTermMatrix(newQryC, control = list(weighting=weightTf,stopwords=TRUE,dictionary=dict1))
dictQry <- Dictionary(dtmNewQry)
# Below does a naive similarity (number of features in common)
apply(dtm,1,function(x,y=dictQry){length(intersect(names(x)[x!= 0],y))})
关于r - 使用R进行文本检索，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/4070483/