Kum-Hoe Hwang wrote:
Hi, Gurus
Thanks to your good helps, I have managed starting the use of a text
mining package so called "tm" in R under the OS of Win XP.
However, during running the tm package, I got another mine like memory problem.
What is a the best way to solve this memory problem among increasing a
physical RAM, or doing other recipes, etc?
How can we know? We do not know anything about your problem. Maybe not
even 64Gb are sufficient or maybe it is simplest to just use a huge
machine with 16Gb....
Uwe Ligges
###############################
###### my R Script's Outputs ######
###############################
memory.limit(size = 2000)
NULL
corpus.ko <- Corpus(DirSource("test_konews/"),
+ readerControl = list(reader = readPlain,
+ language = "UTF-8", load = FALSE))
corpus.ko.nowhite <- tmMap(corpus.ko, stripWhitespace)
corpus <- tmMap(corpus.ko.nowhite, tmTolower)
tdm <- TermDocMatrix(corpus)
findAssocs(tdm, "city", 0.97)
error:cannot allocate vector of size 1.1 Gb
-------------------------------------------------------------
################################
Thanks for your precious time,
--
Kum-Hoe Hwang, Ph.D.
Phone : 82-31-250-3516
Email : phdhw...@gmail.com
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