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我正在嘗試關注this example,但遇到了錯誤。R中的n-克錯誤:無效的「時間」參數
> library("RWeka")
> library("tm")
Loading required package: NLP
> data("crude")
> BigramTokenizer <- function(x) NGramTokenizer(x, Weka_control(min = 2, max = 2))
> tdm <- TermDocumentMatrix(crude, control = list(tokenize = BigramTokenizer))
Error in rep(seq_along(x), sapply(tflist, length)) :
invalid 'times' argument
In addition: Warning message:
In mclapply(unname(content(x)), termFreq, control) :
scheduled core 1 encountered error in user code, all values of the job will be affected
任何想法?
這正是我所追求的,真是令人震撼的C++速度! – geotheory