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?
###############################
###### 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
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
