问题
Using TM, I'm comparing a DocumentTermMatrix against a dictionary list to count totals:
totals <- inspect(DocumentTermMatrix(x, list(dictionary = d)))
This works great for single words, but I want to include double words and can't figure out how to do this.
I tried RWeka:
TrigramTokenizer <- function(x) NGramTokenizer(x,
Weka_control(min = 3, max = 3))
tdm <- TermDocumentMatrix(v.corpus,
control = list(tokenize = TrigramTokenizer))
BUt get the following error message:
Error in simple_triplet_matrix(i = i, j = j, v = as.numeric(v), nrow = length(allTerms), :
'i, j, v' different lengths
In addition: Warning messages:
1: In parallel::mclapply(x, termFreq, control) :
all scheduled cores encountered errors in user code
2: In is.na(x) : is.na() applied to non-(list or vector) of type 'NULL'
3: In simple_triplet_matrix(i = i, j = j, v = as.numeric(v), nrow = length(allTerms), :
NAs introduced by coercion.
Can you help with the Error message?
Thanks!!
回答1:
See my answer here
Seems there are problems using RWeka with parallel package. I found workaround solution here.
1: http://r.789695.n4.nabble.com/RWeka-and-multicore-package-td4678473.html#a4678948
The most important point is not loading the RWeka package and use the namespace in a encapsulated function.
So your tokenizer should look like
BigramTokenizer <- function(x) {RWeka::NGramTokenizer(x, RWeka::Weka_control(min = 2, max = 2))}
来源:https://stackoverflow.com/questions/20577040/error-in-simple-triplet-matrix-unable-to-use-rweka-to-count-phrases