Thanks all for your help. I fear text mining is an abstract little corner of
"R".
I have imported 3228 text (.txt) files, each a news story, into R using
[tm]:
textd <- Corpus(DirSource("other/docs"), readerControl = list(reader
=readPlain))
I can pre-process each individual document using tolower(textd[[1]])
however, when I try to run tmTolower() I get a no such command error, and
then the Term Document Matrix command gives me a peculiar error:
> other.TDM <- TermDocumentMatrix(textd, control = list(stopwords = TRUE))
Error in tolower(txt) :
invalid input 'Valentino bag, breakfasting at West Palm Beach café Testa .
. . VALENTINO, in' in 'utf8towcs'
>
Is it something to do with the structure of the documents I've read in.
The "tm" documentation is *extremely* abstract, at my Neanderthal level.
Thanks to anyone who can help
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