[R} how to build TermDocMatrix in tm text mining package of R

Hi there, I think something like the following is what you want:

### R start...
# if you put your plain text files in a folder like this
my.path <- 'C:\\Documents and Settings\\tony\\Desktop\\texts\\'

# then you can construct a simple tdm like this
library(tm)
my.corpus <- Corpus(DirSource(my.path), readerControl = list
(reader=readPlain))
my.tdm <- TermDocMatrix(my.corpus)

# this show show how words are distributed in the first text document
my.tdm[1, ]
### R end.

by the way, there are some nice examples of using the tm package in
the last Rnews letter (Volume 8/2, October 2008), under the section
'An Introduction to Text Mining in R':
http://cran.r-project.org/doc/Rnews/Rnews_2008-2.pdf

Hope that helps a little bit,
Tony Breyal

Howdy Gurus

I 'd like to ask a question about how to build TermDocMatrix in tm text
mining package.

It is not clear about importing a plain text file, and them converting that
text file into TermDocMatrix file, etc to me.
How can I build a TermDocMatrix of " a plain text document file for text
association?
Or are there any good manuals?

Thank you in advance,

--
Kum-Hoe Hwang, Ph.D.

Phone : 82-31-250-3516
Email : phdhw... at gmail.com

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